Open Data Science Europe Workshop 2021

AgriCaptureCO2 - digital platform to support regenerative agriculture
2021-09-09, 14:40–15:00, HUGOTech

AgriCaptureCO2 aims at developing a systematic, robust and flexible platform for quantifying SOC capture as well as verifying and promoting farmers’ application of regenerative agriculture (Reg Agri). The digital, web-based platform will provide four services, namely: Quantification, Exploration, Support and Verification, that will run on EO data. The idea is that the services provide information that will support the process of certification of “carbon credits” generated as the result of Reg Agri and verification of Reg Agri practices’ application as a prerequisite for any incentives for farmers.
Quantification service provides high resolution maps of SOC content at agricultural field level before applying Reg Agri practices to serve as a benchmark for measuring SOC sequestration and for monitoring of SOC changes resulting from applying Reg Agri practices. In addition, the service generates the optimal locations for soil sampling within agricultural fields to minimize the costs of SOC sequestration monitoring. The products serve as inputs to “carbon credits” project design and validation (for defining baseline scenario) and verification (for defining project scenario).
Verification service provides information requested by Carbon offset standard methodologies and Reg Agri (or similar) certification methodologies, in order to verify the project compliance with the methodology rules. The information includes, but are not limited to: crop types map; detection of tillage activities, cover crops, leaving crop residues, intercropping, agroforestry, grazing, flooding, biomass burning, surface or shallow water; land cover with focus on the existence of natural features.
The AgriCaptureCO2 is being built as a system of different components. It is divided into three layers, namely data, service and frontend applications layers. The data layer is responsible for gathering and storing all the data, i.e. input data needed for the AgriCapture services and also products obtained from the AgriCapture services. The service layer represents the collection of algorithms, machine learning models, etc. that works on the data from the data layer and thus making the AgriCapture services. Finally, the outcomes of the AgriCapture services are served and presented to the AgriCapture users through the frontend layer (web application). The main interface of the platform however will be AgriCapture API that exists inside the Service layer and allows the interaction with the platform through HTTP transactions.


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Dragutin Protić,
Aleksandar Sekulić,
Ognjen Antonijević,
Bojana Obrenović

Gilab DOO Belgrade, Serbia