NI NERC-FAPESP: COSMIC-SWAMP, IoT Enabled Cosmic Ray Sensors for Irrigation Monitoring

Lead Research Organisation: Durham University
Department Name: Physics

Abstract

Approximately 70% of fresh water usage worldwide is for irrigation purposes, therefore the adoption of novel irrigation approaches such as IoT enabled precision irrigation has the potential to improve resource efficiency within the agricultural sector, and build resilience to climate change related water shocks at a global level.

One difficulty in adopting smart irrigation farming practices comes from a lack of efficient methods to continuously monitor soil moisture within the root zone at high precision. Up until the last decade, measurements have typically relied on traditional invasive point scale sensors, or satellite data for continuous monitoring. The challenge with both of these methods is that they do not provide an optimal solution for the measurement scales required for irrigation farming, with many point probes required to accurately account for soil heterogeneity over even a modest size site, and satellite data being too coarse resolution to be a viable option for data-driven precision irrigation.

Cosmic Ray Neutron Sensing (CRNS) has been adopted in the environmental and hydrological sensing community in the past ten years as an alternative way to non-invasively measure soil moisture. Since a single neutron detector can have a sensitive footprint up to 200 m away, the technique can provide a volumetric water content estimate at a length scale that is better suited for monitoring of typical agricultural fields, and fills the gap between point probes and satellite data. One major challenge faced by the CRNS technique is that the Helium-3 detector systems used to date can be expensive, limiting its usefulness in cost limited applications. To avoid this, several groups have begun developing low cost alternatives to Helium-3 based systems, and the field is reaching a critical point in which the technique could become a viable solution for precision agriculture.

This proposal aims to bring together leaders in the development and utilisation of soil moisture sensors for agriculture to understand how this powerful hydrological monitoring technique could be adapted to best suit irrigation monitoring. By modifying two newly developed low cost cosmic ray neutron sensors so that they can interface directly with an Internet-of-Things Smart Water Management Platform (SWAMP), it will be possible to correlate cosmic ray neutron data with a variety of other data streams in almost real time to support data driven precision irrigation modelling within agriculture in a standardised way. Testing these systems at a pivot irrigation site in Brazil, made available to the researchers through the international network, will provide the first demonstration of this interface on a full scale SWAMP network, and will place the research network in a strong position to apply the sensors to range of other precision irrigation challenges in the future.

Publications

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Description We have developed a set of open source processing tools that can be used to support data-driven irrigation management on large farm sites. These tools have been tested in the UK and shown to perform well using different types of cosmic ray sensors for monitoring soil moisture in an autonomous on-invasive way..
Exploitation Route The COSMIC-SWAMP tools developed in this have been primarily aimed at supporting adoption of cosmic ray sensing in the agriculture community. The tools themselves however are much more flexible than previous data driven irrigation management systems available, providing the ability to use a diverse range of sensors for monitoring farm sites, and supporting in-situ monitoring of other farm variables (e.g. pH, nutrient levels, etc).
Sectors Agriculture, Food and Drink,Environment

 
Description 1851 Research Fellowship : Cosmic Ray Neutron Detectors for Agriculture/Civil Engineering Monitors
Amount £141,874 (GBP)
Organisation Royal Commission for the Exhibition of 1851 
Sector Charity/Non Profit
Country United Kingdom
Start 10/2020 
End 10/2023
 
Title COSMIC-SWAMP Neutron Processing Code 
Description A set of computer algorithms have been developed which can be directly integrated into the widely used FiWARE platform to support internet-of-things automated processing of cosmic ray neutron sensing data. Typically cosmic ray neutron sensing requires extensive calibration and data processing, however the developed 'crspy-server' and 'cosmic-calibration' tools, building on a harmonised processing toolkit developed by collaborators ('crspy') , allows raw neutron sensor data to be automatically processed in the cloud. 
Type Of Material Computer model/algorithm 
Year Produced 2022 
Provided To Others? No  
Impact The developed tools make it feasible for novice users of cosmic ray sensors to automatically process large volumes of time series neutron data in the cloud. This ensures that data is processed in a reliable way, and provides a stepping stone to the widespread adoption of cosmic ray neutron sensing within precision agriculture in the future. Since it is still quite early on in this grant, the toolkit is expected to be made public in the next two months, at the end of COSMIC-SWAMP - work package 2. 
 
Description Cosmogenic Neutron Activation Proposal 
Organisation University of Bristol
Country United Kingdom 
Sector Academic/University 
PI Contribution P. Stowell has developed a novel technique for assessing soil organic carbon using cosmic ray neutron sensing (Cosmogenic Neutron Activation Analysis) and has undertaken preliminary feasibility simulations to assess the feasibility of this technique. A funding proposal was recently submitted to BBSRC to further explore the feasibility of this technique, in collaboration with the University of Bristol and the University of Leeds. This collaboration is a direct result of collaborative work undertaken by P. Stowell and R. Rosolem at the University of Bristol.
Collaborator Contribution R. Rosolem at the University of Bristol, and M. Galdos and A. Gusnanto at the University of Leeds have helped to develop a testing methodology for the Cosmogenic Neutron Activation Analysis, and have contributed access to field sites at both universities in the future should our collaborative funding application be successful.
Impact There are no public outputs of the this collaboration as of yet. A research proposal for funding from BBSRC was submitted in 2022 but unfortunately this was not successful. We are still exploring other possible funding streams that may be suitable in the future. The collaboration is a multi-disciplinary one, incorporating expertise in particle physics, hydrology, soil health, and machine learning.
Start Year 2022
 
Description Cosmogenic Neutron Activation Proposal 
Organisation University of Leeds
Country United Kingdom 
Sector Academic/University 
PI Contribution P. Stowell has developed a novel technique for assessing soil organic carbon using cosmic ray neutron sensing (Cosmogenic Neutron Activation Analysis) and has undertaken preliminary feasibility simulations to assess the feasibility of this technique. A funding proposal was recently submitted to BBSRC to further explore the feasibility of this technique, in collaboration with the University of Bristol and the University of Leeds. This collaboration is a direct result of collaborative work undertaken by P. Stowell and R. Rosolem at the University of Bristol.
Collaborator Contribution R. Rosolem at the University of Bristol, and M. Galdos and A. Gusnanto at the University of Leeds have helped to develop a testing methodology for the Cosmogenic Neutron Activation Analysis, and have contributed access to field sites at both universities in the future should our collaborative funding application be successful.
Impact There are no public outputs of the this collaboration as of yet. A research proposal for funding from BBSRC was submitted in 2022 but unfortunately this was not successful. We are still exploring other possible funding streams that may be suitable in the future. The collaboration is a multi-disciplinary one, incorporating expertise in particle physics, hydrology, soil health, and machine learning.
Start Year 2022
 
Title COSMIC-SWAMP : Cosmic Ray Driven Irrigation Management 
Description In this project we have developed COSMIC-SWAMP, a set of Fiware Compliant smart application software modules which are capable of automatically calibrating raw cosmic ray data (using the previously attributed Cosmic Ray Neutron Processing code) and combining this with other in-situ sensors to provide estimates of site-wide soil moisture variation on farms. 
Type Of Technology Webtool/Application 
Year Produced 2023 
Open Source License? Yes  
Impact As it has only just been released, the software has not yet been used outside of the COSMIC-SWAMP collaboration. 
URL https://gitlab.com/cosmic-swamp
 
Description COSMIC-SWAMP International Workshop 1 
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 We hosted the first COSMIC-SWAMP workshop online to disseminate the progress of the project and bring together end users of the developed software. 38 people attended the workshop, with a number of these being in geo-science industry roles. The workshop had a number of attendees from outside the UK or Brazil, with two attendees joining from Colombia and Uruguay. This has led to the submission of two additional seed corn projects being submitted in these countries with Durham University on use of low cost cosmic ray sensors for farm site management. In several lively discussions were had in the workshop panel session identifying a number of ways forward in the future for global soil moisture monitoring projects using Internet of Things processing tools.
Year(s) Of Engagement Activity 2022
 
Description FAO/IAEA International Symposium on Managing Land and Water for Climate-Smart Agriculture 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Gave a presentation on use of Internet of Things processing tools and cosmic ray sensors for smart farm management. Led to a number of discussions on collaborative research projects looking at using cosmic ray sensors and satellite data for soil moisture monitoring.
Year(s) Of Engagement Activity 2022