Optimization of agricultural management for soil carbon sequestration using deep reinforcement learning and large-scale simulations (C3AI)
Soil carbon sequestration in croplands has tremendous potential to help mitigate climate change; however, it is challenging to develop optimal management practices to maximise the sequestered carbon and crop yield.
This project aims to develop an intelligent agricultural management system using deep reinforcement learning and large-scale soil and crop simulations. To achieve this, we propose to build a simulator to model and simulate the complex soil-water-plant-atmosphere interactions, which will run on high-performance computing platforms.
Project period
2021–2023
Funding
Contact person
Other SATORI participants
Carla Ferreira (Polytechnic Institute of Coimbra, Portugal)
