Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations

21 April 2022

Papers citing "Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations"

21 / 21 papers shown

Title
Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management Zhaoan Wang Wonseok Jang Bowen Ruan Jun Wang Shaoping Xiao OffRL 116 1 0 16 May 2025
Deep Learning Meets Process-Based Models: A Hybrid Approach to Agricultural Challenges Yue Shi Liangxiu Han Xin Zhang Tam Sobeih T. Gaiser Nguyen Huu Thuy Dominik Behrend A. Srivastava Krishnagopal Halder F. Ewert AI4CE 217 4 0 22 Apr 2025
WOFOSTGym: A Crop Simulator for Learning Annual and Perennial Crop Management Strategies William Solow Sandhya Saisubramanian Alan Fern OffRL 275 3 0 26 Feb 2025
CROPS: A Deployable Crop Management System Over All Possible State Availabilities Jing Wu Zhixin Lai Shengjie Liu Suiyao Chen Ran Tao Pan Zhao Chuyuan Tao Yikun Cheng N. Hovakimyan OffRL 261 0 0 09 Nov 2024
A Comparative Study of Deep Reinforcement Learning for Crop Production ManagementSmart Agricultural Technology (SAT), 2024 Joseph Balderas Dong Chen Yanbo Huang Li Wang Ren-Cang Li OffRL 107 4 0 06 Nov 2024
AgGym: An agricultural biotic stress simulation environment for ultra-precision management planning Mahsa Khosravi Matthew Carroll Kai Liang Tan Liza Van der Laan Joscif Raigne ... Arti Singh Aditya Balu Baskar Ganapathysubramanian Asheesh Kumar Singh Soumik Sarkar OffRL 63 1 0 01 Sep 2024
Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture Georg Goldenits K. Mallinger Sebastian Raubitzek Thomas Neubauer AI4CE 174 36 0 13 Jun 2024
Deep Representation Learning for Multi-functional Degradation Modeling of Community-dwelling Aging Population Suiyao Chen Xinyi Liu Yulei Li Jing Wu Handong Yao 186 6 0 08 Apr 2024
The New Agronomists: Language Models are Experts in Crop Management Jing Wu Zhixin Lai Suiyao Chen Ran Tao Pan Zhao N. Hovakimyan 169 27 0 28 Mar 2024
Residual-based Language Models are Free Boosters for Biomedical Imaging Zhixin Lai Jing Wu Suiyao Chen Yucheng Zhou N. Hovakimyan MedIm 338 35 0 26 Mar 2024
Adaptive Ensembles of Fine-Tuned Transformers for LLM-Generated Text Detection Zhixin Lai Xuesheng Zhang Suiyao Chen DeLMO 149 44 0 20 Mar 2024
Intelligent Agricultural Management Considering N $_2$ O Emission and Climate Variability with Uncertainties Zhaoan Wang Shaoping Xiao Jun Wang Ashwin Parab Shivam Patel AI4CE 102 3 0 13 Feb 2024
SwitchTab: Switched Autoencoders Are Effective Tabular LearnersAAAI Conference on Artificial Intelligence (AAAI), 2024 Jing Wu Suiyao Chen Qi Zhao Renat Sergazinov Chen Li ... Tianpei Xie Hanqing Guo Cheng Ji Daniel Cociorva Hakan Brunzel SSL 244 54 0 04 Jan 2024
Learning-based agricultural management in partially observable environments subject to climate variability Zhaoan Wang Shaoping Xiao Junchao Li Jun Wang 82 4 0 02 Jan 2024
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks TrainingInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023 Hongwu Peng Xi Xie Kaustubh Shivdikar Md Amit Hasan Jiahui Zhao Shaoyi Huang Omer Khan David Kaeli Caiwen Ding 273 41 0 14 Dec 2023
ReConTab: Regularized Contrastive Representation Learning for Tabular Data Suiyao Chen Jing Wu N. Hovakimyan Handong Yao 166 40 0 28 Oct 2023
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote SensingEuropean Conference on Artificial Intelligence (ECAI), 2023 Jing Wu N. Hovakimyan Jennifer Hobbs 148 17 0 27 Jul 2023
Hallucination Improves the Performance of Unsupervised Visual Representation LearningIEEE International Conference on Computer Vision (ICCV), 2023 Jing Wu Jennifer Hobbs N. Hovakimyan SSL 227 21 0 22 Jul 2023
Inverse Uncertainty Quantification by Hierarchical Bayesian Modeling and Application in Nuclear System Thermal-Hydraulics Codes Chen Wang Xu Wu T. Kozłowski 132 5 0 26 May 2023
Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis Jing Wu David Pichler D. Marley David Wilson N. Hovakimyan Jennifer Hobbs 136 26 0 04 Mar 2023
Optimizing Crop Management with Reinforcement Learning and Imitation LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2022 Ran Tao Pan Zhao Jing Wu N. F. Martin M. Harrison C. Ferreira Z. Kalantari N. Hovakimyan OffRL 143 34 0 20 Sep 2022