Cover Image

WOFOSTGym: A Crop Simulator for Learning Annual and Perennial Crop Management Strategies

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Solow, William, Saisubramanian, Sandhya, Fern, Alan
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Hybrid Modeling Framework for Crop Prediction Tasks via Dynamic Parameter Calibration and Multi-Task Learning
by: Solow, William, et al.
Published: (2026)

Calibrating Biophysical Models for Grape Phenology Prediction via Multi-Task Learning
by: Solow, William, et al.
Published: (2025)

Learning Transferable Latent User Preferences for Human-Aligned Decision Making
by: Hyk, Alina, et al.
Published: (2026)

Learning with Expert Abstractions for Efficient Multi-Task Continuous Control
by: Jewett, Jeff, et al.
Published: (2025)

Multi-Objective Planning with Contextual Lexicographic Reward Preferences
by: Rustagi, Pulkit, et al.
Published: (2025)

Multi-Objective Multi-Agent Path Finding with Lexicographic Cost Preferences
by: Rustagi, Pulkit, et al.
Published: (2025)

Uncovering Systemic and Environment Errors in Autonomous Systems Using Differential Testing
by: Anand, Yashwanthi, et al.
Published: (2025)

Adaptive Querying for Reward Learning from Human Feedback
by: Anand, Yashwanthi, et al.
Published: (2024)

PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction
by: Luo, Yu, et al.
Published: (2026)

CROPS: A Deployable Crop Management System Over All Possible State Availabilities
by: Wu, Jing, et al.
Published: (2024)

The New Agronomists: Language Models are Experts in Crop Management
by: Wu, Jing, et al.
Published: (2024)

Intrinsic Explainability of Multimodal Learning for Crop Yield Prediction
by: Najjar, Hiba, et al.
Published: (2025)

EcoCropsAID: Economic Crops Aerial Image Dataset for Land Use Classification
by: Noppitak, Sangdaow, et al.
Published: (2024)

DPCformer: An Interpretable Deep Learning Model for Genomic Prediction in Crops
by: Deng, Pengcheng, et al.
Published: (2025)

UniCrop: A Universal, Multi-Source Data Engineering Pipeline for Scalable Crop Yield Prediction
by: Khidirova, Emiliya, et al.
Published: (2026)

ViCrop-Det: Spatial Attention Entropy Guided Cropping for Training-Free Small-Object Detection
by: Wang, Hui, et al.
Published: (2026)

No More Blind Spots: Learning Vision-Based Omnidirectional Bipedal Locomotion for Challenging Terrain
by: Gadde, Mohitvishnu S., et al.
Published: (2025)

Crop Pest Classification Using Deep Learning Techniques: A Review
by: Ejaz, Muhammad Hassam, et al.
Published: (2025)

Advancements in Crop Analysis through Deep Learning and Explainable AI
by: Khan, Hamza
Published: (2025)

Comparative Analysis of Deep Learning Models for Crop Disease Detection: A Transfer Learning Approach
by: Subramaniam, Saundarya, et al.
Published: (2025)

Naïve Bayes and Random Forest for Crop Yield Prediction
by: Maazallahi, Abbas, et al.
Published: (2024)

DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs
by: Shrestha, Aayam, et al.
Published: (2020)

Progressive Generalization Augmentation with Deeply Coupled RND-PPO and Domain-Prioritized Noise Injection for Robust Crop Management Reinforcement Learning
by: Yang, Wu
Published: (2026)

Enhanced Infield Agriculture with Interpretable Machine Learning Approaches for Crop Classification
by: Murindanyi, Sudi, et al.
Published: (2024)

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning
by: Mineiro, Ana Luiza, et al.
Published: (2025)

An Explainable Ensemble Learning Framework for Crop Classification with Optimized Feature Pyramids and Deep Networks
by: Masud, Syed Rayhan, et al.
Published: (2026)

Detecting Multiple Diseases in Multiple Crops Using Deep Learning
by: Yadav, Vivek, et al.
Published: (2025)

Improved Crop and Weed Detection with Diverse Data Ensemble Learning
by: Asad, Muhammad Hamza, et al.
Published: (2023)

An EnKF-LSTM Assimilation Algorithm for Crop Growth Model
by: Zhou, Siqi, et al.
Published: (2024)

A Multimodal Benchmark Dataset and Model for Crop Disease Diagnosis
by: Liu, Xiang, et al.
Published: (2025)

A Machine Learning Approach for Crop Yield and Disease Prediction Integrating Soil Nutrition and Weather Factors
by: Ahmed, Forkan Uddin, et al.
Published: (2024)

Combining Deep Learning and Street View Imagery to Map Smallholder Crop Types
by: Soler, Jordi Laguarta, et al.
Published: (2023)

Multi-modal Data Fusion and Deep Ensemble Learning for Accurate Crop Yield Prediction
by: Yewle, Akshay Dagadu, et al.
Published: (2025)

MSFNet-CPD: Multi-Scale Cross-Modal Fusion Network for Crop Pest Detection
by: Zhang, Jiaqi, et al.
Published: (2025)

Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting
by: Miranda, Miro, et al.
Published: (2024)

Learning to Focus and Precise Cropping: A Reinforcement Learning Framework with Information Gaps and Grounding Loss for MLLMs
by: Zhao, Xuanpu, et al.
Published: (2026)

Learning Multi-Modal Whole-Body Control for Real-World Humanoid Robots
by: Dugar, Pranay, et al.
Published: (2024)

Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support
by: Mahajan, Anubha, et al.
Published: (2024)

From Rows to Yields: How Foundation Models for Tabular Data Simplify Crop Yield Prediction
by: Sabo, Filip, et al.
Published: (2025)

Smart Profit-Aware Crop Advisory System: Kisan AI
by: Dwibedy, Debasis, et al.
Published: (2026)