Nitrogen fertilizers have a detrimental effect on the environment, which can be reduced by optimizing fertilizer management strategies. We implement an OpenAI Gym environment where a reinforcement learning agent can learn fertilization management policies using process-based crop growth models and identify policies with reduced environmental impact. In our environment, an agent trained with the Proximal Policy Optimization algorithm is more successful at reducing environmental impacts than the other baseline agents we present.

翻译：氮肥对环境具有有害影响,通过优化肥料管理战略可以减少这种影响。 我们实施了OpenAI Gym环境,在这个环境中,强化学习机构可以利用基于过程的作物生长模式学习肥沃管理政策,并查明能够减少环境影响的政策。 在我们的环境中,接受过Proximal政策优化算法培训的代理机构在减少环境影响方面比我们介绍的其他基线代理机构更成功。