mlsanityData to 7 Oct 2026

CropGym: a Reinforcement Learning Environment for Crop Management

arXiv 2104.04326 ↗First posted 9 Apr 2021cs.LGcited by 20

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). Builds on 3 of its 32 references that are in the map. First posted on arXiv 9 Apr 2021.

Builds on

3 of 32 references.

References · 3

  1. 2017Proximal Policy Optimization Algorithmscited by 14,441
  2. 2013Playing Atari with Deep Reinforcement Learningcited by 3,211
  3. 2016OpenAI Gymcited by 1,684

Built on by

Cited by year

Citing papers per year: 2021: 1; 2022: 5; 2023: 2; 2024: 8; 2025: 4.

20 papers.

Sort:

By area:

  1. 2022Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulationscited by 20
  2. 2022gym-DSSAT: a crop model turned into a Reinforcement Learning environmentcited by 13
  3. 2022Optimizing Crop Management with Reinforcement Learning and Imitation Learningcited by 13
  4. 2024The New Agronomists: Language Models are Experts in Crop Managementcited by 12
  5. 2023A SWAT-based Reinforcement Learning Framework for Crop Managementcited by 7
  6. 2021Machine Learning aided Crop Yield Optimizationcited by 5
  7. 2025WOFOSTGym: A Crop Simulator for Learning Annual and Perennial Crop Management Strategiescited by 4
  8. 2024Learning-based agricultural management in partially observable environments subject to climate variabilitycited by 3
  9. 2024BVR Gym: A Reinforcement Learning Environment for Beyond-Visual-Range Air Combatcited by 3
  10. 2024Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculturecited by 2
  11. 2024A Comparative Study of Deep Reinforcement Learning for Crop Production Managementcited by 2
  12. 2025To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learningcited by 2
8 more
  1. 2022Power and accountability in reinforcement learning applications to environmental policycited by 1
  2. 2023An Online Optimization-Based Decision Support Tool for Small Farmers in India: Learning in Non-stationary Environmentscited by 1
  3. 2024AgGym: An agricultural biotic stress simulation environment for ultra-precision management planningcited by 1
  4. 2022A Learned Simulation Environment to Model Plant Growth in Indoor Farmingcited by 0
  5. 2024CROPS: A Deployable Crop Management System Over All Possible State Availabilitiescited by 0
  6. 2024Opportunities of Reinforcement Learning in South Africa's Just Transitioncited by 0
  7. 2025Towards Fully Automated Decision-Making Systems for Greenhouse Control: Challenges and Opportunitiescited by 0
  8. 2025BoreaRL: A Multi-Objective Reinforcement Learning Environment for Climate-Adaptive Boreal Forest Managementcited by 0