Agri-Tech in China Network+

Lead Research Organisation: Rothamsted Research
Department Name: Sustainable Agriculture Sciences-H

Abstract

The great majority of China's farms are smallholder properties with insufficient productivity to support farmers in rural communities on their own. Agriculture on these properties is threatened by a number of forces including soil degradation, pollution of soils and chemical residues in crop plants, unsustainable water use and polluted water, and inefficient use of inputs. The UK, through programmes like Newton Network+, will invest tens of millions of pounds over the next few years helping China progress to smarter and more sustainable agricultural systems - ensuring its food security, while opening up huge opportunities for economic growth.
Firstly, this Network+ will ensure the effective coordination of these initiatives, and that the different projects link together to strengthen each other. It will do this by undertaking a wide range of networking and engagement activities to link researchers and businesses in China and the UK to ensure maximum possible knowledge sharing and new project development.
Secondly, the Network+ will support a pipeline of innovation through the funding of feasibility studies and around 35 proof of concept and feasibility projects to develop pathways to new solutions to the challenges outlined above. Finally, up to 3 of the proof of concept projects will be selected for development into full-scale projects that will result in solutions on the ground to help support economic growth and development in rural communities in China.
Finally, the Network+ will support a wide range of dissemination events to ensure that knowledge generated from STFC projects, as well as new results from across the agritech sector, is shared across the community.

Planned Impact

The Agri-Tech in China Network+ will contribute to the overall goal of Newton Fund Agri-Tech in China programme on promoting sustainable intensification of agriculture and rural income in China.

Sustainable intensification of China's agriculture face many challenges. From a technical point of view, it is important to protect the natural resource base, raise productivity and resource use efficiency, and at the meantime to reduce non-point and point source pollution. From a socio-economic and institutional point of view, in order to efficiently implement the new sustainable agriculture plan (2015-2030), there is need to foster structural change in the agricultural sector, support Agri-Tech uptake and application by farmers, improve delivery mechanisms to inform farmers and other users of Agri-Tech, and to address the rising cost of agricultural labour.

The Newton Fund Agri-Tech in China programme will address the above challenges through application and adaptation of UK remote sensing and modelling technologies into China's agriculture production system. This will be achieved through implantation of a number of projects around the themes of sustainable intensification, pests and diseases management, climate smart agriculture, precision agriculture technologies, as well as development of the enabling technologies.

The Network+ will support the implementation of the Agri-Tech in China programme through:
(i) Working with and build on existing and planned initiatives and foster new partnerships
(ii) Facilitating effective communication between Network+ members and build up synergies between STFC and Network+ funded projects, through innovative mechanisms (e.g. a mutual learning platform);
(iii) Engaging with stakeholder communities including farmers, policy makers, business and academic communities;
(iv) Developing communication and dissemination tools for knowledge sharing and transfer, such as policy briefs, position papers, synthesis reports, and workshops.

To make all Network+ activities better coordinated and to build up synergies between them, the activities will be grouped into four portfolios (this does not mean these activities will be isolated from each other):
Portfolio 1 will focus on people exchange aimed at capacity building and the establishment of long-term partnerships. Activities will include visits, placements, and short training courses;
Portfolio 2 will focus on small scale research projects, including scoping studies and POC studies;
Portfolio 3 will focus on knowledge sharing and transfer, aiming to engage broadly with stakeholders and disseminate/communicate outputs.
Portfolio 4 will create a technology transfer and commercialisation platform to enable the innovations and intellectual property developed during the course of the Newton programme to be protected and commercialised to promote economic growth in rural China.

Organisations

Publications

10 25 50
 
Description "China Robot Harvest" (Proof-of-Concept Award: PC014) 
Organisation University of Plymouth
Country United Kingdom 
Sector Academic/University 
PI Contribution Project Lead(s): Dr Martin Stoelen and Prof Mick Fuller (University of Plymouth) Project Members: Wenhua Sun and Zhonglin Zhang, Sunqiao Yuanfei Zhou, Shanghai Jiaotong University Project start date: 1 May 2017 Duration: Four months Project Summary: This project aimed to work towards the exchange of robotics technology for the safe and efficient harvest of fruits and vegetable crops grown in glasshouses and plastic tunnels. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2017
 
Description A Cloud-based, Mobile-enabled, Data-Driven Approach for Automatic Crop Disease Detection (Proof-of-Concept Award: PC006) 
Organisation Manchester Metropolitan University
Country United Kingdom 
Sector Academic/University 
PI Contribution Project Lead(s): Prof. Liangxiu HAN - Manchester Metropolitan University Project Members: Prof. Bingfang WU and Dr. Sheng CHNAG - Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Science (CAS) Project start date: 1 April 2017 Duration: Five months Project Summary: To develop a novel automated big-data driven approach for crop disease detection to provide a rapidly reliable service to minimise the risk of crop loss from diseases in China. Through the joint development of innovative software product, this project will extend and enhance the China CropWatch system with an additional new functionality of crop disease detection to offer viable and sustainable services, thus improving the quality and the yields of crops in China. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2017
 
Description An exploration of how the internet of things technologies can transform the after-sales services and improve the efficiency of machine manufacturers in China (Pathfinder Award: PF005) 
Organisation Liverpool John Moores University
Country United Kingdom 
Sector Academic/University 
PI Contribution Project Lead(s): Dr Po Yang (Liverpool John Moores University) Project Members: Dr. Lei Wang (Yu Long Machinery Ltd) Project start date: 1 August 2017 Duration: One month Project Summary: This project examined the potential of utilizing internet of things for detection, transferring, storage and analysis of a variety of condition data. The aim was to trigger a mobile application to support effective and timely fault diagnoisis, and high-quality remote customer training. To be completed by PI.
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2017
 
Description Applying remote sensing to improve nitrogen use efficiency for potato breeding and commercial production (Large Project Award: LG005) 
Organisation Aberystwyth University
Country United Kingdom 
Sector Academic/University 
PI Contribution Project Lead(s): Prof. Xiangming Xu (NIAB EMR) Project Members: Dr. Bo Li (NIAB), Dr. Jiwan Han (Aberystwyth University), Dr. Jiangang Liu and Prof. Liping Jin (Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences), Dr. Baigeng Hu (Xisen Potato Industry Group Ltd) Project start date: 1 April 2018 Duration: 10 months Project Summary: This project aims to develop remote sensing tools for nondestructive highthroughput phenotyping of potato crops and to use the tools to identify key canopy characteristics associated with increased nitrogen (N) use efficiency and potato yield. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description Applying remote sensing to improve nitrogen use efficiency for potato breeding and commercial production (Large Project Award: LG005) 
Organisation East Malling Research
Country United Kingdom 
Sector Academic/University 
PI Contribution Project Lead(s): Prof. Xiangming Xu (NIAB EMR) Project Members: Dr. Bo Li (NIAB), Dr. Jiwan Han (Aberystwyth University), Dr. Jiangang Liu and Prof. Liping Jin (Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences), Dr. Baigeng Hu (Xisen Potato Industry Group Ltd) Project start date: 1 April 2018 Duration: 10 months Project Summary: This project aims to develop remote sensing tools for nondestructive highthroughput phenotyping of potato crops and to use the tools to identify key canopy characteristics associated with increased nitrogen (N) use efficiency and potato yield. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description Assessing the reliability of RS data to predict crop disease (Small Project Award: SM001) 
Organisation National Institute of Agronomy and Botany (NIAB)
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution Project Lead(s): Prof Xiangming Xu and Dr Bo Li (NIAB EMR) Project Members: Dr Yilin Zhou (Chinese Academy of Agricultural Sciences) Project start date: 1 April 2018 Duration: Four months Project Summary: Use of mixed modelling and machine learning approaches to assess whether powdery mildew and wheat yield can be predicted by combining data from multiple years, and an examination of the extent to which prediction accuracy depends on year, time within year, flying height, and brand of RS instrument. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description Automated image analysis and processing using UAV-deployed remote sensors (Small Project Award: SM003) 
Organisation Earlham Institute
Country United Kingdom 
Sector Academic/University 
PI Contribution Project Lead(s): Dr Ji Zhou (Earlham Institute) Project Members: Prof Tao Cheng (Nanjing Agricultural University) Project start date: 1 March 2018 Duration: Four months Project Summary: Development of an automated image analysis solution to identify key wheat growth stages based on large aerial images. To be completed by PI.
Collaborator Contribution To be completed by PI.
Impact To be completed by PI.
Start Year 2018
 
Description Autonomous vehicle delivery of more precise pesticide application (Small Project Award: SM013) 
Organisation Loughborough University
Department Department of Aeronautical and Automotive Engineering
Country United Kingdom 
Sector Academic/University 
PI Contribution Project Lead(s): Dr Sujit Baliyarasimhuni and Prof Wen-Hua Chen (Loughborough University) Project Members: Dr Yue Shen (Jiangsu University) Project start date: 1 Jan 2018 Duration: Four months Project Summary: Autonomous safe driving system for agriculture spray machines. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description Autonomous vehicle or UAV-mounted sensing systems (Small Project Award: SM009) 
Organisation University of Manchester
Department School of Electrical and Electronic Engineering
Country United Kingdom 
Sector Academic/University 
PI Contribution Project Lead(s): Prof Bruce Grieve (University of Manchester) Project Members: Prof Jiangtao Ji (Henan University of Science and Technology) Project start date: 1 March 2018 Duration: Four months Project Summary: Exploration of opportunities to co-develop novel semi-autonomous approaches for rural communities in China To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description China Robot Harvest ++ (Large Project Award: LG017) 
Organisation Fieldwork Robotics Limited
PI Contribution Project Lead(s): Dr Martin Stoelen and Prof Mick Fuller (University of Plymouth) Project Members: Dr. David Mozley (Fieldwork Robotics Ltd.), Mr. Xiaohui Mao Wenhua Sun and Zhonglin Zhang, (Sunqiao), Pei Zhou (Shanghai Jiaotong University), Helen Geng (DeTao) Project start date: 1 April 2018 Duration: 10 months Project Summary: This project aims to develop and commercialise soft robotics for automated harvesting of protected crops. In the first instance, it will continue development of a robotic system for tomato picking suitable for the Chinese market which builds on a successful ATCNN Proof of Concept grant (PC014) where first selective harvesting of tomatoes with robots in China was demonstrated in Shanghai in summer 2017. We will work towards the exchange of robotics technology for the safe and efficient harvest of vegetable and fruit crops grown in the extensive glasshouses and plastic tunnels in the Shanghai District. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description China Robot Harvest ++ (Large Project Award: LG017) 
Organisation University of Plymouth
Country United Kingdom 
Sector Academic/University 
PI Contribution Project Lead(s): Dr Martin Stoelen and Prof Mick Fuller (University of Plymouth) Project Members: Dr. David Mozley (Fieldwork Robotics Ltd.), Mr. Xiaohui Mao Wenhua Sun and Zhonglin Zhang, (Sunqiao), Pei Zhou (Shanghai Jiaotong University), Helen Geng (DeTao) Project start date: 1 April 2018 Duration: 10 months Project Summary: This project aims to develop and commercialise soft robotics for automated harvesting of protected crops. In the first instance, it will continue development of a robotic system for tomato picking suitable for the Chinese market which builds on a successful ATCNN Proof of Concept grant (PC014) where first selective harvesting of tomatoes with robots in China was demonstrated in Shanghai in summer 2017. We will work towards the exchange of robotics technology for the safe and efficient harvest of vegetable and fruit crops grown in the extensive glasshouses and plastic tunnels in the Shanghai District. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description Data innovations and sustainability in agri-food supply chains: Evidence from Henan Province, China (Pathfinder Award: PF006) 
Organisation University of Bedfordshire
Department Business School
PI Contribution Project Lead(s): Dr Wantao Yu (University of Kent) Project Members: Prof. Ramakrishnan Ramanathan and Prof. Yanqing Duan (University of Bedfordshire); Dr Jiehui Yang (Henan University) Project start date: 1 August 2017 Duration: One month Project Summary: UK experts in the field of big data and agriculture sustainability and representatives from the Chinese agri-food sector and academics came together at a workshop to assess current practices in China on data innovations in the agri-food industry, learn from best practice examples from the UK and to identify opportunities for further collaboration between Chinese and UK partners. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2017
 
Description Data innovations and sustainability in agri-food supply chains: Evidence from Henan Province, China (Pathfinder Award: PF006) 
Organisation University of Kent
Country United Kingdom 
Sector Academic/University 
PI Contribution Project Lead(s): Dr Wantao Yu (University of Kent) Project Members: Prof. Ramakrishnan Ramanathan and Prof. Yanqing Duan (University of Bedfordshire); Dr Jiehui Yang (Henan University) Project start date: 1 August 2017 Duration: One month Project Summary: UK experts in the field of big data and agriculture sustainability and representatives from the Chinese agri-food sector and academics came together at a workshop to assess current practices in China on data innovations in the agri-food industry, learn from best practice examples from the UK and to identify opportunities for further collaboration between Chinese and UK partners. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2017
 
Description Diagnosis, data assimilation and decision-making systems for precision management of water and nitrogen in the Southern China (Large Project Award: LG007) 
Organisation University of Edinburgh
Country United Kingdom 
Sector Academic/University 
PI Contribution Project Lead(s): Prof. Mathew Williams (University of Edinburgh) Project Members: Prof. Liangsheng Shi (Wuhan University), Dr Kai Huang (Guangxi Institute of Hydraulic Research) Project start date: 1 April 2018 Duration: 10 months Project Summary: To work with Chinese partners, farmers and end users in the application and deployment of novel crop sensing, diagnostic technologies, and decision support system for irrigation and fertilization and to develop a tool that can predict and diagnose crop response to water and nutrient related limits. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description Feasibility Study of a Self-Propelled Capsule Robot for Irrigation Pipeline Inspection (Pathfinder Award: PF002) 
Organisation University of Exeter
Country United Kingdom 
Sector Academic/University 
PI Contribution Project Lead(s): Dr Yang LIU (University of Exeter). Project Members: Prof Zhike PENG (Shanghai Jiao Tong University) Project start date: 1 July 2017 Duration: One month Project Summary: This project carried out a feasibility study looking at using a self-propelled vibro-impact capsule robot for irrigation pipeline inspection in rural China. To be completed by PI.
Collaborator Contribution To be completed by PI
Impact Future work of this project will focus on the development of the capsule prototype, experimental testing, sensor integration, and field test. Future work will be dependent on the success of securing further funding from Agri-Tech in China Network+
Start Year 2017
 
Description GIS systems to support in-field manure systems (Small Project Award: SM019) 
Organisation Bangor University
Department School of Environment, Natural Resources and Geography
Country United Kingdom 
Sector Academic/University 
PI Contribution Project Lead(s): Mr John Williams (RSK ADAS Ltd) Project Members: Prof. Dave Chadwick (Bangor University), Prof. Tom Misselbrook (Rothamsted Research), Dr. Yuelai Lu (University of East Anglia), Dr. Ma Lin (Chinese Academy of Sciences) Prof. Fusuo Zhang (China Agriculture University) Project start date: 1 March 2018 Duration: Four months Project Summary: Assessment of the potential of developing frameworks to improve the nutrient use efficiency (NUE) of organic manures at both regional and farm levels in China. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description GIS systems to support in-field manure systems (Small Project Award: SM019) 
Organisation RSK ADAS Ltd
PI Contribution Project Lead(s): Mr John Williams (RSK ADAS Ltd) Project Members: Prof. Dave Chadwick (Bangor University), Prof. Tom Misselbrook (Rothamsted Research), Dr. Yuelai Lu (University of East Anglia), Dr. Ma Lin (Chinese Academy of Sciences) Prof. Fusuo Zhang (China Agriculture University) Project start date: 1 March 2018 Duration: Four months Project Summary: Assessment of the potential of developing frameworks to improve the nutrient use efficiency (NUE) of organic manures at both regional and farm levels in China. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description GIS systems to support in-field manure systems (Small Project Award: SM019) 
Organisation Rothamsted Research
Department Sustainable Agriculture Sciences
PI Contribution Project Lead(s): Mr John Williams (RSK ADAS Ltd) Project Members: Prof. Dave Chadwick (Bangor University), Prof. Tom Misselbrook (Rothamsted Research), Dr. Yuelai Lu (University of East Anglia), Dr. Ma Lin (Chinese Academy of Sciences) Prof. Fusuo Zhang (China Agriculture University) Project start date: 1 March 2018 Duration: Four months Project Summary: Assessment of the potential of developing frameworks to improve the nutrient use efficiency (NUE) of organic manures at both regional and farm levels in China. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description GIS systems to support in-field manure systems (Small Project Award: SM019) 
Organisation University of East Anglia
Department School of International Development UEA
Country United Kingdom 
Sector Academic/University 
PI Contribution Project Lead(s): Mr John Williams (RSK ADAS Ltd) Project Members: Prof. Dave Chadwick (Bangor University), Prof. Tom Misselbrook (Rothamsted Research), Dr. Yuelai Lu (University of East Anglia), Dr. Ma Lin (Chinese Academy of Sciences) Prof. Fusuo Zhang (China Agriculture University) Project start date: 1 March 2018 Duration: Four months Project Summary: Assessment of the potential of developing frameworks to improve the nutrient use efficiency (NUE) of organic manures at both regional and farm levels in China. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description Highly Efficient Intelligent Irrigation Systems (Proof-of-Concept Award: PC003) 
Organisation Loughborough University
Country United Kingdom 
Sector Academic/University 
PI Contribution Project Lead(s): Prof Wen-Hua Chen (Loughborough University) Project Members: Prof Weidong Shi (Jiangsu University) Project start date: 1 April 2017 Duration: Four months Project Summary: To develop highly efficient intelligent irrigation systems by integrating all these latest technologies in a systematic way and, with the support of Chinese partner Jiangsu University, to prove the concept and investigate the feasibility of the proposed intelligent irrigation system with particular attention in its applications in the north part of China. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2017
 
Description Improving satellite-based models using new satellite data (Small Project Award: SM008) 
Organisation University of Leicester
Country United Kingdom 
Sector Academic/University 
PI Contribution Project Lead(s): Prof Kevin Tansey (University of Leicester) Project Members: Prof Pengxin Wang (China Agriculture University) Project start date: 1 Feb 2018 Duration: Four months Project Summary: Development of wide-area, frequently-updated map product estimates of soil moisture that could be used to inform an efficient validation process, using investigations into the Sentinel-2 and Sentinel-3 data products in current model parameters and other studies. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description Management zone delineation and decision support system for small scale farming at village level in North China Plain (Small Project Award: WK001) 
Organisation Courtyard Agriculture Ltd
PI Contribution Project Lead(s): Dr Davide Cammarano (James Hutton Institute) Project Members: Lucy Wilson (RSK ADAS Ltd); Dr Xiaoxian Zhang (Rothamsted Research); Zhigang Liu (Courtyard Agriculture Ltd); Prof Xuxin Miao (China Agricultural University); Prof Wenqi Ma (Hebei Agricultural University); Prof Youliang Ye (Henan Agricultural University) Project start date: tbc Duration: Four months Project Summary: A prototype Decision Support System, integrating the latest scientific advances, is going to be tested in Xushui village (Hebei). The end-users will be the advisors that will utilise the outputs to inform farmers on site-specific management. The system proposed will help quantifying the best amount of side-dressing nitrogen fertilization. The system has been conceptualised to work with minimum or no data because if we apply this system in other villages we should be able to do it without having to collect too many data. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description Management zone delineation and decision support system for small scale farming at village level in North China Plain (Small Project Award: WK001) 
Organisation James Hutton Institute
Country United Kingdom 
Sector Public 
PI Contribution Project Lead(s): Dr Davide Cammarano (James Hutton Institute) Project Members: Lucy Wilson (RSK ADAS Ltd); Dr Xiaoxian Zhang (Rothamsted Research); Zhigang Liu (Courtyard Agriculture Ltd); Prof Xuxin Miao (China Agricultural University); Prof Wenqi Ma (Hebei Agricultural University); Prof Youliang Ye (Henan Agricultural University) Project start date: tbc Duration: Four months Project Summary: A prototype Decision Support System, integrating the latest scientific advances, is going to be tested in Xushui village (Hebei). The end-users will be the advisors that will utilise the outputs to inform farmers on site-specific management. The system proposed will help quantifying the best amount of side-dressing nitrogen fertilization. The system has been conceptualised to work with minimum or no data because if we apply this system in other villages we should be able to do it without having to collect too many data. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description Management zone delineation and decision support system for small scale farming at village level in North China Plain (Small Project Award: WK001) 
Organisation RSK ADAS Ltd
PI Contribution Project Lead(s): Dr Davide Cammarano (James Hutton Institute) Project Members: Lucy Wilson (RSK ADAS Ltd); Dr Xiaoxian Zhang (Rothamsted Research); Zhigang Liu (Courtyard Agriculture Ltd); Prof Xuxin Miao (China Agricultural University); Prof Wenqi Ma (Hebei Agricultural University); Prof Youliang Ye (Henan Agricultural University) Project start date: tbc Duration: Four months Project Summary: A prototype Decision Support System, integrating the latest scientific advances, is going to be tested in Xushui village (Hebei). The end-users will be the advisors that will utilise the outputs to inform farmers on site-specific management. The system proposed will help quantifying the best amount of side-dressing nitrogen fertilization. The system has been conceptualised to work with minimum or no data because if we apply this system in other villages we should be able to do it without having to collect too many data. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description Management zone delineation and decision support system for small scale farming at village level in North China Plain (Small Project Award: WK001) 
Organisation Rothamsted Research
Department Sustainable Agriculture Sciences
PI Contribution Project Lead(s): Dr Davide Cammarano (James Hutton Institute) Project Members: Lucy Wilson (RSK ADAS Ltd); Dr Xiaoxian Zhang (Rothamsted Research); Zhigang Liu (Courtyard Agriculture Ltd); Prof Xuxin Miao (China Agricultural University); Prof Wenqi Ma (Hebei Agricultural University); Prof Youliang Ye (Henan Agricultural University) Project start date: tbc Duration: Four months Project Summary: A prototype Decision Support System, integrating the latest scientific advances, is going to be tested in Xushui village (Hebei). The end-users will be the advisors that will utilise the outputs to inform farmers on site-specific management. The system proposed will help quantifying the best amount of side-dressing nitrogen fertilization. The system has been conceptualised to work with minimum or no data because if we apply this system in other villages we should be able to do it without having to collect too many data. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description NeWMap: Enhanced farm-specific NutriEnt and Water stress Maps (Small Project Award: WK002) 
Organisation Loughborough University
Department Department of Aeronautical and Automotive Engineering
Country United Kingdom 
Sector Academic/University 
PI Contribution Project Lead(s): Dr Jinghao Xue (University College London); Dr Project Members: Prof Wen-Hua Chen (Loughborough University); Dr Zhichao Chen, Dr Weifeng Zhang, Dr Hongshuo Wang and Dr Wei Su (China Agricultural University) Project start date: 1 March 2018 Duration: 5 months Project Summary: This project aims to address the challenge that there is a need of field-specific advice for small-scale farming in China. About 70-80% of Chinese farmers have less than 0.5 ha, and it is very difficult and labour intensive to conduct field specific assessment in order to facilitate timely crop management, particularly fertiliser and water management. To mitigate this issue, we aim to integrate UAV data and field-specific and local environment data collected from small-scale farms to automatically provide a nutrient assessment map and a water stress map. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description NeWMap: Enhanced farm-specific NutriEnt and Water stress Maps (Small Project Award: WK002) 
Organisation University College London
Department Department of Statistical Science
Country United Kingdom 
Sector Academic/University 
PI Contribution Project Lead(s): Dr Jinghao Xue (University College London); Dr Project Members: Prof Wen-Hua Chen (Loughborough University); Dr Zhichao Chen, Dr Weifeng Zhang, Dr Hongshuo Wang and Dr Wei Su (China Agricultural University) Project start date: 1 March 2018 Duration: 5 months Project Summary: This project aims to address the challenge that there is a need of field-specific advice for small-scale farming in China. About 70-80% of Chinese farmers have less than 0.5 ha, and it is very difficult and labour intensive to conduct field specific assessment in order to facilitate timely crop management, particularly fertiliser and water management. To mitigate this issue, we aim to integrate UAV data and field-specific and local environment data collected from small-scale farms to automatically provide a nutrient assessment map and a water stress map. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description Network+ Industry Partnerships 
Organisation BASF
Country Germany 
Sector Private 
PI Contribution We established this group of companies as an initial set of organisations interested in engaging in puli-private partnerships in China
Collaborator Contribution These companies have taken part in workshops and some have established new projects in China e.g. AgSpace.
Impact These partnership formed the initial core group of companies and through their networks we have now established network of more than 50 companies in China and the UK who are directly engaged in the Network+
Start Year 2016
 
Description Network+ Industry Partnerships 
Organisation Carbon Trust
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution We established this group of companies as an initial set of organisations interested in engaging in puli-private partnerships in China
Collaborator Contribution These companies have taken part in workshops and some have established new projects in China e.g. AgSpace.
Impact These partnership formed the initial core group of companies and through their networks we have now established network of more than 50 companies in China and the UK who are directly engaged in the Network+
Start Year 2016
 
Description Network+ Industry Partnerships 
Organisation Ecometrica Ltd
Country United Kingdom 
Sector Private 
PI Contribution We established this group of companies as an initial set of organisations interested in engaging in puli-private partnerships in China
Collaborator Contribution These companies have taken part in workshops and some have established new projects in China e.g. AgSpace.
Impact These partnership formed the initial core group of companies and through their networks we have now established network of more than 50 companies in China and the UK who are directly engaged in the Network+
Start Year 2016
 
Description Network+ Industry Partnerships 
Organisation Map of Agriculture Limited
PI Contribution We established this group of companies as an initial set of organisations interested in engaging in puli-private partnerships in China
Collaborator Contribution These companies have taken part in workshops and some have established new projects in China e.g. AgSpace.
Impact These partnership formed the initial core group of companies and through their networks we have now established network of more than 50 companies in China and the UK who are directly engaged in the Network+
Start Year 2016
 
Description Network+ Industry Partnerships 
Organisation Microsoft Research
Country Global 
Sector Private 
PI Contribution We established this group of companies as an initial set of organisations interested in engaging in puli-private partnerships in China
Collaborator Contribution These companies have taken part in workshops and some have established new projects in China e.g. AgSpace.
Impact These partnership formed the initial core group of companies and through their networks we have now established network of more than 50 companies in China and the UK who are directly engaged in the Network+
Start Year 2016
 
Description Network+ Industry Partnerships 
Organisation Syngenta International AG
Country Global 
Sector Public 
PI Contribution We established this group of companies as an initial set of organisations interested in engaging in puli-private partnerships in China
Collaborator Contribution These companies have taken part in workshops and some have established new projects in China e.g. AgSpace.
Impact These partnership formed the initial core group of companies and through their networks we have now established network of more than 50 companies in China and the UK who are directly engaged in the Network+
Start Year 2016
 
Description Network+ Industry Partnerships 
Organisation Velcourt Ltd
Country United Kingdom 
Sector Private 
PI Contribution We established this group of companies as an initial set of organisations interested in engaging in puli-private partnerships in China
Collaborator Contribution These companies have taken part in workshops and some have established new projects in China e.g. AgSpace.
Impact These partnership formed the initial core group of companies and through their networks we have now established network of more than 50 companies in China and the UK who are directly engaged in the Network+
Start Year 2016
 
Description Network+ academic partnerships 
Organisation Scotland's Rural College
Country United Kingdom 
Sector Academic/University 
PI Contribution I lead the research team and have enabled them to engage widely in China with both potential academic and industry partners
Collaborator Contribution We have formed a management group for the Network+ that has organised 3 international workshops, run two calls for funding, established an advisory group to review proposals and advise the Management Group, and funded 10 projects as public-private partnerships between the UK and China
Impact This is a multidisciplinary partnership involving social scientists, physicists, agricultural and environmental scientists
Start Year 2015
 
Description Network+ academic partnerships 
Organisation University of Edinburgh
Department Medical School Edinburgh
Country United Kingdom 
Sector Academic/University 
PI Contribution I lead the research team and have enabled them to engage widely in China with both potential academic and industry partners
Collaborator Contribution We have formed a management group for the Network+ that has organised 3 international workshops, run two calls for funding, established an advisory group to review proposals and advise the Management Group, and funded 10 projects as public-private partnerships between the UK and China
Impact This is a multidisciplinary partnership involving social scientists, physicists, agricultural and environmental scientists
Start Year 2015
 
Description Network+ academic partnerships 
Organisation University of Reading
Country United Kingdom 
Sector Academic/University 
PI Contribution I lead the research team and have enabled them to engage widely in China with both potential academic and industry partners
Collaborator Contribution We have formed a management group for the Network+ that has organised 3 international workshops, run two calls for funding, established an advisory group to review proposals and advise the Management Group, and funded 10 projects as public-private partnerships between the UK and China
Impact This is a multidisciplinary partnership involving social scientists, physicists, agricultural and environmental scientists
Start Year 2015
 
Description Radar and Aerial Ecology Summer School (Intra-Project Partnership Award: IPP001) 
Organisation Rothamsted Research
Country United Kingdom 
Sector Academic/University 
PI Contribution Project Lead(s): Dr Jason Lim (Rothamsted Research) Project Members: Assoc. Prof. Jason Chapman (University of Exeter), Dr Xiongbing Tu (Chinese Academy of Agricultural Sciences), Prof Gao Hu (Nanjing Agricultural University) Project start date: 1 August 2017 Duration: 15 months Project Summary: To build on current work operating and ground-truthing a vertical-looking entomological radar (VLR) and to convene a two-week Summer School, teaching and practising techniques involved in operating and ground-truthing a vertical-looking entomological radar (VLR). To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2017
 
Description Radar and Aerial Ecology Summer School (Intra-Project Partnership Award: IPP001) 
Organisation University of Exeter
Department Environment and Sustainability Institute
Country United Kingdom 
Sector Academic/University 
PI Contribution Project Lead(s): Dr Jason Lim (Rothamsted Research) Project Members: Assoc. Prof. Jason Chapman (University of Exeter), Dr Xiongbing Tu (Chinese Academy of Agricultural Sciences), Prof Gao Hu (Nanjing Agricultural University) Project start date: 1 August 2017 Duration: 15 months Project Summary: To build on current work operating and ground-truthing a vertical-looking entomological radar (VLR) and to convene a two-week Summer School, teaching and practising techniques involved in operating and ground-truthing a vertical-looking entomological radar (VLR). To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2017
 
Description Scoping an Information Management System for Chinese Agriculture (Small Project Award: WK003) 
Organisation Courtyard Agriculture Ltd
PI Contribution Project Lead(s): Lucy Wilson (RSK ADAS) Project Members: Dr Zhigang Liu (Courtyard Agriculture Ltd), Wang Hao (VIPFarms), Hainie Zha (China Agriculture University) Project start date: 1 April 2018 Duration: Four months Project Summary: The project will scope an information management system (IMS) for use in Chinese agriculture. Such a system could be used by farmers to help them store their records, track changes in the performance of their crops and make management decisions; by advisors to help them to provide the most appropriate advice and training to farmers; and by researchers to monitor change, analyse cause and effect relationships and develop models. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description Scoping an Information Management System for Chinese Agriculture (Small Project Award: WK003) 
Organisation RSK ADAS Ltd
PI Contribution Project Lead(s): Lucy Wilson (RSK ADAS) Project Members: Dr Zhigang Liu (Courtyard Agriculture Ltd), Wang Hao (VIPFarms), Hainie Zha (China Agriculture University) Project start date: 1 April 2018 Duration: Four months Project Summary: The project will scope an information management system (IMS) for use in Chinese agriculture. Such a system could be used by farmers to help them store their records, track changes in the performance of their crops and make management decisions; by advisors to help them to provide the most appropriate advice and training to farmers; and by researchers to monitor change, analyse cause and effect relationships and develop models. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description Space Robotic Technologies for Plant Grafting (Small Project Award: WK005) 
Organisation University of Strathclyde
Country United Kingdom 
Sector Academic/University 
PI Contribution Project Lead(s): Prof Xiu Yan (University of Strathclyde) Project Members: Dr Zhiyuan Yu (China Academy of Launch Vehicle Technology), Dr Yue Shen (Jiangsu University), Dr Chaochun Zhang (China Agriculture University), Dr. Xiaoyong Sun (Shandong Agricultural University) Project start date: 1 May 2018 Duration: 10 months Project Summary: The project aims to gain better scientific understanding of grafting process for Chinese farmers, then develop a cost effective and efficient grafting robotic system by exploiting space robotic technologies available within the consortium. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description Translating UK expertise in viticulture weather risk analysis into sustainable vineyard management tools for vineyards in China. (Pathfinder Award: PF003) 
Organisation Climate Wine Consulting Ltd
PI Contribution Project Lead(s): Dr. Alistair Nesbitt (Climate Wine Consulting Ltd) Project Members: Dr. Xu Liu (Northwest Agriculture and Forestry University) Project start date: 1 August 2017 Duration: One month Project Summary: The aim of this project was to work with the North West University of Agriculture and Forestry (NWAFU) College of Enology (wine science) to assess the potential for, and advantages of automated and remote environmental data capture as vineyard management tools. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2017
 
Description UAV tracking system for pollinators (Small Project Award: SM024) 
Organisation Bangor University
Country United Kingdom 
Sector Academic/University 
PI Contribution Project Lead(s): Dr Paul Cross (Bangor University) Project Members: Dr Cristiano Palego (Bangor University), Dr Chaochun Zhang and Prof Fusuo Zhang (China Agriculture University) Project start date: 1 July 2018 Duration: Four months Project Summary: Validation of the effectiveness of a novel tracking device for insect pollinators across their entire foraging range. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description Using Sentinel data for drought monitoring (Small Project Award: SM007) 
Organisation University of Leicester
Country United Kingdom 
Sector Academic/University 
PI Contribution Project Lead(s): Prof Kevin Tansey (University of Leicester) Project Members: Dr Huazhong Ren and Prof Haimeng Zhao (Peking University) Project start date: 15 Feb 2018 Duration: Four months Project Summary: Piloting drought monitoring in Yangling or Inner Mongolia by refining the ESA Sentinel-3 images LST algorithm, and evaluating it against other satellite products, UAV images and ground measurements. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description Wheat rust and wheat growth modelling workshop (Intra-Project Partnership Award: IPP002) 
Organisation Centre for Agriculture and Bioscience International
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution Project Lead(s): Belinda Luke (CABI) Project Members: Prof Wenjiang Huang (Chinese Academy of Sciences) Project start date: 9 Jan 2018 Duration: Four months Project Summary: To hold a two-day workshop with leading experts on wheat rust and wheat growth modelling and earth observation. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2018
 
Description Yield forecasting systems and early blight detection of potato crops in China (Proof-of-Concept Award: PC010) 
Organisation Cranfield University
Department Centre for Environment and Agricultural Informatics
PI Contribution Project Lead(s): Dr Bo Li - NIAB EMR Project Members:Dr Jane Thomas (NIAB); Dr Marc Allison (NIAB CUF); Dr Toby Waine (Cranfield University); Mr Weijian Sun (China Center for Resources Satellite Date & Application (CRESDA)), Mr Qingji Meng (Beijing Yagro Navitech) Project start date: 1 May 2017 Duration: Four months Project Summary: This project aimed to apply the multispectral remote sensing techniques developed in the UK to help with the development of yield forecasting systems and early blight detection of potato crops in China, which will lead to more effective farm management and lower production costs. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2017
 
Description Yield forecasting systems and early blight detection of potato crops in China (Proof-of-Concept Award: PC010) 
Organisation National Institute of Agronomy and Botany (NIAB)
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution Project Lead(s): Dr Bo Li - NIAB EMR Project Members:Dr Jane Thomas (NIAB); Dr Marc Allison (NIAB CUF); Dr Toby Waine (Cranfield University); Mr Weijian Sun (China Center for Resources Satellite Date & Application (CRESDA)), Mr Qingji Meng (Beijing Yagro Navitech) Project start date: 1 May 2017 Duration: Four months Project Summary: This project aimed to apply the multispectral remote sensing techniques developed in the UK to help with the development of yield forecasting systems and early blight detection of potato crops in China, which will lead to more effective farm management and lower production costs. To be completed by PI
Collaborator Contribution To be completed by PI
Impact To be completed by PI
Start Year 2017
 
Description Annual Meeting of the Agri-Tech in China Network+ - Newcastle, UK (20-21 March 2018) 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact First Annual Meeting of the Agri-Tech in China Newton Network.
The purpose of the meeting is to provide an opportunity to hear about the progress and outcomes of the projects which ATCNN has funded to date, to hear about projects in the wider Network and to look at the opportunities for future UK-China collaboration.
Year(s) Of Engagement Activity 2018
 
Description China Needs Analysis Workshop 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact A workshop designed to understand the needs of Chinese famers and businesses for UK expertise in relation to agritech in China. This was attended by 115 attendees, around 100 of which from China, with 54 participants from industry. UK and Chinese businesses and academic organisations presented.
Year(s) Of Engagement Activity 2016
 
Description Open Innovation Workshop - Beijing, China (5-8 Nov 2017) 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact The Open Innovation Workshop will develop and fund new UK-China initiatives that use satellite-enabled technologies to address the following:
• A system to link satellite data for decision making and resulting recommendations to farmers
• A village-level management information system that uses satellite and UAV-derived data for field-specific precision crop management
• A system to delineate management zones, possibly using satellite remote sensing images
• Robotic systems for grafting seedlings
• County-level strategies and technologies for precision crop management
Year(s) Of Engagement Activity 2017
 
Description Pathway projects 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact The Network+ funded 5 Pathway Project that supported the development of joint research projects between UK and China and involving public-private partnerships in both countries
Year(s) Of Engagement Activity 2016
 
Description Proof of Concept Projects 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact We funded 5 joint UK-China projects to deliver products/impact in rural China through the support of agricultural development. these projects involved both UK and Chinese businesses and academic organisations
Year(s) Of Engagement Activity 2016
 
Description STFC project partner workshop 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Supporters
Results and Impact A workshop involving the organisations funded by the STFC to undertake major projects on agritech in China. The purpose was to identify opportunities for coordination and added value.
Year(s) Of Engagement Activity 2016
 
Description UK Capabilities Workshop 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact A workshop to bring together all interested academic and business groups interested in collaborating on agritech in China. Around 110 attendees, roughly 50% of which were from the business community
Year(s) Of Engagement Activity 2016
 
Description Vertical-looking Entomological Radar (VLR) Summer School - Xilinhot, Inner Mongolia (Summer 2018) (Intra-Project Partnership Award: IPP001) 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Postgraduate students
Results and Impact 20 students, mainly from the Chinese Academy of Agricultural Sciences (CAAS) and Nanjing Agricultural University (NAU), along with Chinese radar and aerial ecology experts from these institutions. The Summer School will provide a fantastic opportunity for knowledge exchange and capacity building amongst the Chinese entomological community. They will be shown how the radar operates, undertake ground-truthing fieldwork and and how to analyse data collected. They will also be trained in other survey techniques for insects (light trapping, hand netting, transects, etc.), and taught how to identify different groups of invertebrates.
Year(s) Of Engagement Activity 2018
 
Description Wheat rust and wheat growth modelling workshop, CABI Egham site, UK (22-23 March 2018) (Intra-Project Partnership Award: IPP002) 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact A two-day workshop with leading experts on wheat rust and wheat growth modelling and EO.
Aims:
• to gather the current state of the art on wheat rust/growth modelling research,
• to identify future research priorities, techniques and needs
• to explore how the models can be improved using EO data
In addition, we want to foster data sharing and collaboration for combined work, particularly among the projects.
The topic of the workshop reflects probably the most common interest across all Newton funded projects. Three consortiums work specifically on wheat modelling (i.e. CABI and RADI, UCL and IARRP-CAAS, Newcastle Uni and BAAFS) while the other two projects (Lincoln Uni and CAMS and Loughborough Uni and Beihang Uni) are working on technologies that could be of great value for collecting more
accurate and relevant data for the models.
20 participants, 10 from China and 10 from the UK. Ideally, we would like a good cross representation of the five current STFC projects and from external organizations from China and UK (possibly elsewhere) with a leading role in the field. We will also aim to get a good cross section of agronomist, modellers and EO researchers.
The outcome of this workshop would be an open access collaborative opinion paper on the topic, better understanding of modelling wheat rust/growth and hopefully sharing of data between projects to make current models more robust.
Year(s) Of Engagement Activity 2018
 
Description Workshop on Data Innovations and Sustainability in Agri-food Supply Chains - Henan Province, China (19-20 April 2017) (Pathfinder Award: PF006) 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Workshop Objectives
- To bring together UK experts in the field of big data and agriculture sustainability with representatives in Chinese agri-food sector and other academics.
- To assess the current practice in China on data innovations in the agri-food industry.
- To identify opportunities to learn from best practice examples in the UK.
- To develop preliminary action points and identify opportunities for further collaboration between Chinese and UK partners.
Year(s) Of Engagement Activity 2017