Navarino Environmental Observatory
an international hub where science, business, society and policy makers
join to create a more sustainable future for the Mediterranean region
Optimization of Agricultural Management for Soil Carbon Sequestration Using Deep Reinforcement Learning and Large-Scale Simulations
An example of how science can support intelligent agricultural management and contribute for climate change mitigation.
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Funded by C3.ai Digital Transformation Institute (C3.ai DTI) within AI for Energy and Climate Security Award (2021-2022), the project is jointly established by KTH Royal Institute of Technology, Stockholm University and Illinois University (US), to explore and develop digital technologies of great societal importance.
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The project aims to develop an intelligent agricultural management system using deep reinforcement learning (RL) and large-scale soil and crop simulations. To achieve this, a simulator will be built for modelling, quantifying and predicting the complex soil-water-plant-atmosphere interactions, using high-performance computing platforms. This is needed because soil carbon sequestration in croplands has tremendous potential to help mitigate climate change; however, it is challenging to develop management practices for optimal carbon sequestration and crop yield solutions.
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Contact info:
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Zahra Kalantari (PI on behalf of KTH)
e-mail: zahra.kalantari@natgeo.su.se
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Carla Ferreira (Researcher of SU)