Integrating advanced earth observation and environmental information for sustainable management of crop pests and diseases
Lead Research Organisation:
CAB INTERNATIONAL
Department Name: International Development (UK)
Abstract
The project aims to bring together and produce cutting edge research to provide pest and disease monitoring and forecast information, integrating multi-source (Earth Observation (EO), meteorological and vertical looking radar) to support decision making in the sustainable management of insect pests and diseases. The project will explore the integration and fusion of new data sources from recently launched satellites with existing data products. This will overcome spatial and temporal differences to produce new data solutions and algorithms which are suitable for pest and disease monitoring and prediction, intervention efficacy forecasting and estimation of yield losses. The new data products and algorithms will be tested using two candidate systems: a fungal disease of wheat (stripe rust) and a serious insect pest (migratory locust). The corresponding efficacy of a biopesticide used to control the locust will also be explored, with the aim to investigate whether the same data inputs produced during this project can be utilised under a wide range of systems, leading to a greater impact of data assimilation in the future. Models will be validated in the laboratory and in the field to give a measure of certainty of predictions. Additionally, risk and loss estimation will be investigated using cutting edge EO techniques, and monitoring of locusts will be explored using Vertical Looking Radar, a technology which is capable of identifying the size and species of insect flying through a radar beam. In addition to building monitoring and forecasting systems with data assimilated during this project, routes to extend this information to appropriate end users will be explored to ensure maximum impact of technologies developed during the project. The project consortium will work closely with NATESC in China to ensure the system is built in a way that is compatible with existing methods of information dissemination. The project consortium is a strong multidisciplinary team with expertise in EO, vertical-looking radar technology and agricultural research and extension.
Planned Impact
This project will have an impact on a wide range of audiences. The wider academic audience will benefit through the production of new algorithms and data products which may be used in further predictive modelling, monitoring and risk forecasting work. For example improved models for estimating insect body temperature, derived from EO data sources, could be applicable for a wide range of targets not explored within this project and could pave the way for improved pest and disease prediction models. The project consortium will benefit through the exchange of knowledge and ideas between organisations. The nature of the project team will ensure that impact of the work is optimal as the team brings together leading researchers in the field of EO from both China and the UK (RADI-CAS, ZJU, Assimila LTD and Kings College London), and integrates them with leading agricultural research and extension institutions from UK and China (CABI, Rothamsted Research, IPP-CAAS). The synergy of the consortium ensures that developments within the project are directly applicable to the agricultural end user. NATESC (Ministry of Agriculture's National Agro-Tech Extension and Service Centre) will act as an external consultant to ensure that all outputs of the project are applicable to its extension messaging and the final work package of the project aims to identify how messages produced during the project could actually integrate into NATESC's advisory systems in the future, ensuring the maximum impact for this work. The overall impact of the research will lead to pathways for better information messages available to both NATESC as an end user of the information and for farmers who are end users of this information. i.e. when and where a biopesticide application will be optimal; where wheat rust is developing and needs spot application of pesticide. The wider goal of this work is to assist NATESC to work towards a reduction in chemical pesticide use in line with their objectives to have 0% increase in pesticide use by 2020.
Organisations
- CAB INTERNATIONAL (Lead Research Organisation)
- Zhejiang University (Collaboration)
- Rothamsted Research (Collaboration)
- University of Chinese Academy of Sciences (Collaboration)
- Assimila Ltd (Collaboration)
- Chinese Academy of Agricultural Sciences (Collaboration)
- KING'S COLLEGE LONDON (Collaboration)
Publications

Chudzik P
(2020)
Mobile Real-Time Grasshopper Detection and Data Aggregation Framework.
in Scientific reports

Dowling T
(2021)
An Improved Cloud Gap-Filling Method for Longwave Infrared Land Surface Temperatures through Introducing Passive Microwave Techniques
in Remote Sensing

Drake V
(2017)
Ventral-aspect radar cross sections and polarization patterns of insects at X band and their relation to size and form
in International Journal of Remote Sensing

Feng W
(2018)
Class Imbalance Ensemble Learning Based on the Margin Theory
in Applied Sciences

Gao B
(2020)
The 'migratory connectivity' concept, and its applicability to insect migrants.
in Movement ecology

Hao K
(2019)
Transcriptome Sequencing Reveals Potential Mechanisms of the Maternal Effect on Egg Diapause Induction of Locusta migratoria.
in International journal of molecular sciences

Huang L
(2018)
New Triangle Vegetation Indices for Estimating Leaf Area Index on Maize
in Journal of the Indian Society of Remote Sensing

Huiqin, M.
(2017)
Remote sensing monitoring of wheat powdery mildew based on AdaBoost model combining mRMR algorithm
in Transactions of the Chinese Society of Agricultural Engineering

Li X
(2019)
Prediction of migratory routes of the invasive fall armyworm in eastern China using a trajectory analytical approach
in Pest Management Science
Description | We have won additional funding to examine the market potential of the BioSuccess App. We are currently coming to the end of the project and exploring other opportunities to take this potential project forward to the market place. |
First Year Of Impact | 2019 |
Sector | Agriculture, Food and Drink |
Impact Types | Societal |
Description | C3S_428 |
Amount | € 150,000 (EUR) |
Organisation | European Centre for Medium Range Weather Forecasting ECMWF |
Sector | Public |
Country | United Kingdom |
Start | 05/2019 |
End | 12/2020 |
Description | EO4 Agro Climate |
Amount | £189,933 (GBP) |
Funding ID | ST/W007053/1 |
Organisation | Science and Technologies Facilities Council (STFC) |
Sector | Public |
Country | United Kingdom |
Start | 12/2021 |
End | 04/2022 |
Description | EO4 Agro Climate |
Amount | £499,993 (GBP) |
Funding ID | ST/Y00017X/1 |
Organisation | Science and Technologies Facilities Council (STFC) |
Sector | Public |
Country | United Kingdom |
Start | 03/2023 |
End | 03/2025 |
Description | Newton - UK-China Agri-centres (BBSRC) |
Amount | £647,092 (GBP) |
Funding ID | 104906 |
Organisation | Innovate UK |
Sector | Public |
Country | United Kingdom |
Start | 06/2019 |
End | 06/2022 |
Description | UK-China AgriTech Impact Development Fund |
Amount | £404,267 (GBP) |
Funding ID | ST/V000306/1 |
Organisation | Science and Technologies Facilities Council (STFC) |
Sector | Public |
Country | United Kingdom |
Start | 02/2020 |
End | 02/2022 |
Title | Data logger dataset |
Description | Field data of temperature and humidity in a wheat experimental site |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | No |
Impact | Validation of wheat yellow rust development model. |
Title | Intra canopy temperature related to solar radiation |
Description | Field collected data of in canopy temperature related to changes in solar radiation. |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | No |
Impact | Data used to determine the derivation of link between observed and surface temperature and camopy temperature |
Title | Locust internal body temperature |
Description | Internal body temperature of locusts over two field seasons required for modeling pathogen development |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | No |
Impact | Use to develop a model predicting how long it will take for a fungal biopesticide to kill 90 % of a locust population. |
Title | Locust surrogate and weather poles data |
Description | Collection of field data of temperature at 4 different levels in the canopy and surrogates of locusts |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | No |
Impact | Data used to validate locust and pathogen development models |
Description | Wheat rust modelling partnership |
Organisation | Assimila Ltd |
Country | United Kingdom |
Sector | Private |
PI Contribution | Working with RADI and Assimila to develop a model for predicting wheat rust spread. CABI and IPP carried out a literature review on the current state of wheat rust modelling. For the locust and biopesticide development models ZJU and IPP, CAAS worked to collect ground truthing data and developed models. CABI assisted with the ground truthing data collection and model development with Assimila. |
Collaborator Contribution | IPP and RADI carried out field work to ground truth data. RADI and Assimila worked on developing models for wheat rust prediction and spread. KCL are working on Land Surface Temperature (LST) and how that data fits into the various models while Rothamsted Research are determining the biodiversity of insects affected by locust control insecticides. Assimila are also developing models to predict locust development and time for the biopesticide to kill locusts. IPP, CAAS are also working on biopesticide survival in the environment in Inner Mongolia and ZJU are looking at soil moisture effects in Inner Mongolia. |
Impact | Data Product and Land Surface Temperature Algorithm Report delivered by KCL; Desk study for preparing baseline of current locust and wheat rust expectations of relevant players delivered jointly by CABI and NATESC |
Start Year | 2016 |
Description | Wheat rust modelling partnership |
Organisation | Chinese Academy of Agricultural Sciences |
Department | Institute of Plant Protection |
Country | China |
Sector | Academic/University |
PI Contribution | Working with RADI and Assimila to develop a model for predicting wheat rust spread. CABI and IPP carried out a literature review on the current state of wheat rust modelling. For the locust and biopesticide development models ZJU and IPP, CAAS worked to collect ground truthing data and developed models. CABI assisted with the ground truthing data collection and model development with Assimila. |
Collaborator Contribution | IPP and RADI carried out field work to ground truth data. RADI and Assimila worked on developing models for wheat rust prediction and spread. KCL are working on Land Surface Temperature (LST) and how that data fits into the various models while Rothamsted Research are determining the biodiversity of insects affected by locust control insecticides. Assimila are also developing models to predict locust development and time for the biopesticide to kill locusts. IPP, CAAS are also working on biopesticide survival in the environment in Inner Mongolia and ZJU are looking at soil moisture effects in Inner Mongolia. |
Impact | Data Product and Land Surface Temperature Algorithm Report delivered by KCL; Desk study for preparing baseline of current locust and wheat rust expectations of relevant players delivered jointly by CABI and NATESC |
Start Year | 2016 |
Description | Wheat rust modelling partnership |
Organisation | King's College London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Working with RADI and Assimila to develop a model for predicting wheat rust spread. CABI and IPP carried out a literature review on the current state of wheat rust modelling. For the locust and biopesticide development models ZJU and IPP, CAAS worked to collect ground truthing data and developed models. CABI assisted with the ground truthing data collection and model development with Assimila. |
Collaborator Contribution | IPP and RADI carried out field work to ground truth data. RADI and Assimila worked on developing models for wheat rust prediction and spread. KCL are working on Land Surface Temperature (LST) and how that data fits into the various models while Rothamsted Research are determining the biodiversity of insects affected by locust control insecticides. Assimila are also developing models to predict locust development and time for the biopesticide to kill locusts. IPP, CAAS are also working on biopesticide survival in the environment in Inner Mongolia and ZJU are looking at soil moisture effects in Inner Mongolia. |
Impact | Data Product and Land Surface Temperature Algorithm Report delivered by KCL; Desk study for preparing baseline of current locust and wheat rust expectations of relevant players delivered jointly by CABI and NATESC |
Start Year | 2016 |
Description | Wheat rust modelling partnership |
Organisation | Rothamsted Research |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Working with RADI and Assimila to develop a model for predicting wheat rust spread. CABI and IPP carried out a literature review on the current state of wheat rust modelling. For the locust and biopesticide development models ZJU and IPP, CAAS worked to collect ground truthing data and developed models. CABI assisted with the ground truthing data collection and model development with Assimila. |
Collaborator Contribution | IPP and RADI carried out field work to ground truth data. RADI and Assimila worked on developing models for wheat rust prediction and spread. KCL are working on Land Surface Temperature (LST) and how that data fits into the various models while Rothamsted Research are determining the biodiversity of insects affected by locust control insecticides. Assimila are also developing models to predict locust development and time for the biopesticide to kill locusts. IPP, CAAS are also working on biopesticide survival in the environment in Inner Mongolia and ZJU are looking at soil moisture effects in Inner Mongolia. |
Impact | Data Product and Land Surface Temperature Algorithm Report delivered by KCL; Desk study for preparing baseline of current locust and wheat rust expectations of relevant players delivered jointly by CABI and NATESC |
Start Year | 2016 |
Description | Wheat rust modelling partnership |
Organisation | University of Chinese Academy of Sciences |
Department | Institute of Remote Sensing and Digital Earth |
Country | China |
Sector | Charity/Non Profit |
PI Contribution | Working with RADI and Assimila to develop a model for predicting wheat rust spread. CABI and IPP carried out a literature review on the current state of wheat rust modelling. For the locust and biopesticide development models ZJU and IPP, CAAS worked to collect ground truthing data and developed models. CABI assisted with the ground truthing data collection and model development with Assimila. |
Collaborator Contribution | IPP and RADI carried out field work to ground truth data. RADI and Assimila worked on developing models for wheat rust prediction and spread. KCL are working on Land Surface Temperature (LST) and how that data fits into the various models while Rothamsted Research are determining the biodiversity of insects affected by locust control insecticides. Assimila are also developing models to predict locust development and time for the biopesticide to kill locusts. IPP, CAAS are also working on biopesticide survival in the environment in Inner Mongolia and ZJU are looking at soil moisture effects in Inner Mongolia. |
Impact | Data Product and Land Surface Temperature Algorithm Report delivered by KCL; Desk study for preparing baseline of current locust and wheat rust expectations of relevant players delivered jointly by CABI and NATESC |
Start Year | 2016 |
Description | Wheat rust modelling partnership |
Organisation | Zhejiang University |
Country | China |
Sector | Academic/University |
PI Contribution | Working with RADI and Assimila to develop a model for predicting wheat rust spread. CABI and IPP carried out a literature review on the current state of wheat rust modelling. For the locust and biopesticide development models ZJU and IPP, CAAS worked to collect ground truthing data and developed models. CABI assisted with the ground truthing data collection and model development with Assimila. |
Collaborator Contribution | IPP and RADI carried out field work to ground truth data. RADI and Assimila worked on developing models for wheat rust prediction and spread. KCL are working on Land Surface Temperature (LST) and how that data fits into the various models while Rothamsted Research are determining the biodiversity of insects affected by locust control insecticides. Assimila are also developing models to predict locust development and time for the biopesticide to kill locusts. IPP, CAAS are also working on biopesticide survival in the environment in Inner Mongolia and ZJU are looking at soil moisture effects in Inner Mongolia. |
Impact | Data Product and Land Surface Temperature Algorithm Report delivered by KCL; Desk study for preparing baseline of current locust and wheat rust expectations of relevant players delivered jointly by CABI and NATESC |
Start Year | 2016 |
Title | A Remote sensing quantitative inversion method and system for crop biophysical and biochemical parameters |
Description | The invention comprehensively considers the size and directional characteristics of vegetation canopy reflectance data, and realizes reducing the computational complexity while improving the numerical precision of the physical parameter inversion. |
IP Reference | ZL201610077364.9 |
Protection | Patent granted |
Year Protection Granted | 2018 |
Licensed | No |
Impact | The invention helps improve retrieval accuracy |
Title | Detecting specific primers for the endogenous nature of Metarhizium in plant roots |
Description | The invention proposed a method to detect specific primers for the endogenous nature of Metarhizium in plant roots. |
IP Reference | CN201610395664 |
Protection | Patent granted |
Year Protection Granted | 2016 |
Licensed | No |
Impact | The invention helps detect Metarhizium to reduce crop loss |
Title | Green fluorescent protein marker gene egfp specific primer, kit and method for detecting endophyticity of Metarhizium plant |
Description | The invention proposed a Green fluorescent protein marker gene egfp specific primer, kit and method for detecting endophyticity of Metarhizium plant. |
IP Reference | CN201810648106 |
Protection | Patent granted |
Year Protection Granted | 2018 |
Licensed | No |
Impact | The invention makes it convenient in field measurement of Metarhizium |
Title | Leaf area index spatial scale conversion method and device |
Description | The device transforms spatial scale of leaf area index from first spatial resolution obtained by leaf area index remote sensing inversion model |
IP Reference | CN201610158240 |
Protection | Patent granted |
Year Protection Granted | 2016 |
Licensed | No |
Impact | The invention propose an innovative method for LAI retrieval at different scales |
Title | Method for constructing remote sensing and reporting system for crop pests and diseases and remote sensing measuring and reporting system |
Description | The invention fully utilizes remote sensing technology, geographic information resources, network sharing technology to realize crop parameter inversion, pest and disease monitoring, pest and disease prediction and other models of network real-time operation |
IP Reference | CN201610154069 |
Protection | Patent granted |
Year Protection Granted | 2016 |
Licensed | No |
Impact | The system provides data and decision-making support in precision agriculture and plant protection. |
Title | Portable manual multi-angle observation device |
Description | The device can quickly adjust the angle of the observation zenith angle to achieve rapid acquisition of crop canopy reflectance under different observation zenith angles |
IP Reference | CN201711285282 |
Protection | Patent granted |
Year Protection Granted | 2017 |
Licensed | No |
Impact | The device improves efficiency in field measurements |
Title | Surface soil moisture inversion method based on passive microwave remote sensing data |
Description | The invention proposed a surface soil moisture inversion method based on passive microwave remote sensing data, and the calculated soil water content data value has higher inversion precision under watery surface conditions. |
IP Reference | CN201810801987 |
Protection | Patent granted |
Year Protection Granted | 2018 |
Licensed | No |
Impact | The invention improves soil moisture accuracy under watery surface |
Title | Surface soil water reduction method based on multi-source remote sensing satellite fusion data |
Description | Using optical remote sensing data to spatially downscale the surface soil inversion by passive microwave to obtain remote sensing images of surface soil moisture with higher spatial resolution. |
IP Reference | CN201810083706 |
Protection | Patent granted |
Year Protection Granted | 2018 |
Licensed | No |
Impact | The integration of optical and microwave data improves soil water inversion accuracy. |
Description | Baseline study with Stakeholders |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | CABI met with a dozen representatives of agencies managing locusts and rust at national, provincial, city, county and farm level. CABI learned about the participants aims and objectives, and the way they like to work and was made aware of the boundaries of responsibility for agencies such as NATESC. A discussion on preferred channels of communication that support people at all the levels best - a highlight was realising just how important channels such as WeChat are to Chinese people, and how a solution to knowledge dissemination should definitely incorporate that alongside existing channels. |
Year(s) Of Engagement Activity | 2017 |
Description | Oral presentation at University |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Undergraduate students |
Results and Impact | Gave a presentation on the research in China to biology students at Royal Holloway, University of London. After the talk I was around to talk to post doc students of which 5 appeared to be very interested and we had a good discussion about my work and how it fits into their research. |
Year(s) Of Engagement Activity | 2019 |
Description | Presentation to a large agricultural business |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | A two hour presentation was given on general biopesticide use. Then specifically mentioning the China project. There was great interest in the potential development of a biopesticide use app. |
Year(s) Of Engagement Activity | 2019 |