top of page

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.

Project (1).jpg

Funded by Digital Transformation Institute ( 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.

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.

Contact info:

  • Zahra Kalantari (PI on behalf of KTH)


  • Carla Ferreira (Researcher of SU)


bottom of page