Web: http://arxiv.org/abs/2209.09991

Sept. 22, 2022, 1:11 a.m. | Ran Tao, Pan Zhao, Jing Wu, Nicolas F. Martin, Matthew T. Harrison, Carla Ferreira, Zahra Kalantari, Naira Hovakimyan

cs.LG updates on arXiv.org arxiv.org

Crop management, including nitrogen (N) fertilization and irrigation
management, has a significant impact on the crop yield, economic profit, and
the environment. Although management guidelines exist, it is challenging to
find the optimal management practices given a specific planting environment and
a crop. Previous work used reinforcement learning (RL) and crop simulators to
solve the problem, but the trained policies either have limited performance or
are not deployable in the real world. In this paper, we present an intelligent
crop …

arxiv imitation learning management reinforcement reinforcement learning

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