Saved in:
| Main Authors: | Banerjee, Sayan, Mukherjee, Aniruddha, Kamboj, Suket |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.04054 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Federated Learning Architectures: A Performance Evaluation with Crop Yield Prediction Application
by: Mukherjee, Anwesha, et al.
Published: (2024)
by: Mukherjee, Anwesha, et al.
Published: (2024)
Agricultural Crop Recommendation System Using Machine Learning
by: KAMSALA, DEVARAJ
Published: (2026)
by: KAMSALA, DEVARAJ
Published: (2026)
Hierarchical Federated Learning for Crop Yield Prediction in Smart Agricultural Production Systems
by: Abouaomar, Anas, et al.
Published: (2025)
by: Abouaomar, Anas, et al.
Published: (2025)
Innovations in Agricultural Forecasting: A Multivariate Regression Study on Global Crop Yield Prediction
by: Gupta, Ishaan, et al.
Published: (2023)
by: Gupta, Ishaan, et al.
Published: (2023)
Pragmatist Intelligence: Where the Principle of Usefulness Can Take ANNs
by: Bikić, Antonio, et al.
Published: (2024)
by: Bikić, Antonio, et al.
Published: (2024)
At the Intersection of Deep Sequential Model Framework and State-space Model Framework: Study on Option Pricing
by: Ding, Ziyang, et al.
Published: (2020)
by: Ding, Ziyang, et al.
Published: (2020)
Weather-Driven Agricultural Decision-Making Using Digital Twins Under Imperfect Conditions
by: Ahmed, Tamim, et al.
Published: (2025)
by: Ahmed, Tamim, et al.
Published: (2025)
AgroXAI: Explainable AI-Driven Crop Recommendation System for Agriculture 4.0
by: Turgut, Ozlem, et al.
Published: (2024)
by: Turgut, Ozlem, et al.
Published: (2024)
Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control
by: Kamboj, Ankur, et al.
Published: (2026)
by: Kamboj, Ankur, et al.
Published: (2026)
Intrinsic Explainability of Multimodal Learning for Crop Yield Prediction
by: Najjar, Hiba, et al.
Published: (2025)
by: Najjar, Hiba, et al.
Published: (2025)
Naïve Bayes and Random Forest for Crop Yield Prediction
by: Maazallahi, Abbas, et al.
Published: (2024)
by: Maazallahi, Abbas, et al.
Published: (2024)
A Machine Learning Approach for Crop Yield and Disease Prediction Integrating Soil Nutrition and Weather Factors
by: Ahmed, Forkan Uddin, et al.
Published: (2024)
by: Ahmed, Forkan Uddin, et al.
Published: (2024)
VITA: Variational Pretraining of Transformers for Climate-Robust Crop Yield Forecasting
by: Hasan, Adib, et al.
Published: (2025)
by: Hasan, Adib, et al.
Published: (2025)
Development of Crop Yield Estimation Model using Soil and Environmental Parameters
by: Ahmed, Nisar, et al.
Published: (2021)
by: Ahmed, Nisar, et al.
Published: (2021)
Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing
by: Najjar, Hiba, et al.
Published: (2024)
by: Najjar, Hiba, et al.
Published: (2024)
CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers
by: Kamangir, Hamid, et al.
Published: (2024)
by: Kamangir, Hamid, et al.
Published: (2024)
Empirical Bayes Estimation with Side Information: A Nonparametric Integrative Tweedie Approach
by: Luo, Jiajun, et al.
Published: (2023)
by: Luo, Jiajun, et al.
Published: (2023)
Approximately Optimal Search on a Higher-dimensional Sliding Puzzle
by: Merleau, Nono SC, et al.
Published: (2024)
by: Merleau, Nono SC, et al.
Published: (2024)
Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction
by: Mena, Francisco, et al.
Published: (2024)
by: Mena, Francisco, et al.
Published: (2024)
Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting
by: Miranda, Miro, et al.
Published: (2024)
by: Miranda, Miro, et al.
Published: (2024)
Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent
by: Banerjee, Sayan, et al.
Published: (2024)
by: Banerjee, Sayan, et al.
Published: (2024)
Off-Policy Evaluation from Logged Human Feedback
by: Bhargava, Aniruddha, et al.
Published: (2024)
by: Bhargava, Aniruddha, et al.
Published: (2024)
Winter Wheat Crop Yield Prediction on Multiple Heterogeneous Datasets using Machine Learning
by: Bansal, Yogesh, et al.
Published: (2023)
by: Bansal, Yogesh, et al.
Published: (2023)
A Secured Triad of IoT, Machine Learning, and Blockchain for Crop Forecasting in Agriculture
by: Sizan, Najmus Sakib, et al.
Published: (2025)
by: Sizan, Najmus Sakib, et al.
Published: (2025)
UniCrop: A Universal, Multi-Source Data Engineering Pipeline for Scalable Crop Yield Prediction
by: Khidirova, Emiliya, et al.
Published: (2026)
by: Khidirova, Emiliya, et al.
Published: (2026)
AGRO: An Autonomous AI Rover for Precision Agriculture
by: Ghumman, Simar, et al.
Published: (2025)
by: Ghumman, Simar, et al.
Published: (2025)
Variational Digital Twins
by: Burnett, Logan A., et al.
Published: (2025)
by: Burnett, Logan A., et al.
Published: (2025)
Inverse Optimality for Fair Digital Twins: A Preference-based approach
by: Masti, Daniele, et al.
Published: (2025)
by: Masti, Daniele, et al.
Published: (2025)
Agent-Based Post-Hoc Correction of Agricultural Yield Forecasts
by: Beddows, Matthew, et al.
Published: (2026)
by: Beddows, Matthew, et al.
Published: (2026)
Retrieval-Augmented Multi-scale Framework for County-Level Crop Yield Prediction Across Large Regions
by: Sun, Yiming, et al.
Published: (2026)
by: Sun, Yiming, et al.
Published: (2026)
Digital Twin Generators for Disease Modeling
by: Alam, Nameyeh, et al.
Published: (2024)
by: Alam, Nameyeh, et al.
Published: (2024)
Meta-Posterior Consistency for the Bayesian Inference of Metastable System
by: Adams, Zachary P, et al.
Published: (2024)
by: Adams, Zachary P, et al.
Published: (2024)
Finite-Particle Rates for Regularized Stein Variational Gradient Descent
by: He, Ye, et al.
Published: (2026)
by: He, Ye, et al.
Published: (2026)
Integrating Generative AI with Network Digital Twins for Enhanced Network Operations
by: Muhammad, Kassi, et al.
Published: (2024)
by: Muhammad, Kassi, et al.
Published: (2024)
Sparsity, Regularization and Causality in Agricultural Yield: The Case of Paddy Rice in Peru
by: Guzman-Lopez, Rita Rocio, et al.
Published: (2024)
by: Guzman-Lopez, Rita Rocio, et al.
Published: (2024)
Large Language Models-Enabled Digital Twins for Precision Medicine in Rare Gynecological Tumors
by: Lammert, Jacqueline, et al.
Published: (2024)
by: Lammert, Jacqueline, et al.
Published: (2024)
Physics-based Digital Twins for Integrated Thermal Energy Systems Using Active Learning
by: Nabila, Umme Mahbuba, et al.
Published: (2026)
by: Nabila, Umme Mahbuba, et al.
Published: (2026)
TwinWeaver: An LLM-Based Foundation Model Framework for Pan-Cancer Digital Twins
by: Makarov, Nikita, et al.
Published: (2026)
by: Makarov, Nikita, et al.
Published: (2026)
AgroSense: An Integrated Deep Learning System for Crop Recommendation via Soil Image Analysis and Nutrient Profiling
by: Pandey, Vishal, et al.
Published: (2025)
by: Pandey, Vishal, et al.
Published: (2025)
Provable Performance Bounds for Digital Twin-driven Deep Reinforcement Learning in Wireless Networks: A Novel Digital-Twin Bisimulation Metric
by: Tao, Zhenyu, et al.
Published: (2025)
by: Tao, Zhenyu, et al.
Published: (2025)
Similar Items
-
Federated Learning Architectures: A Performance Evaluation with Crop Yield Prediction Application
by: Mukherjee, Anwesha, et al.
Published: (2024) -
Agricultural Crop Recommendation System Using Machine Learning
by: KAMSALA, DEVARAJ
Published: (2026) -
Hierarchical Federated Learning for Crop Yield Prediction in Smart Agricultural Production Systems
by: Abouaomar, Anas, et al.
Published: (2025) -
Innovations in Agricultural Forecasting: A Multivariate Regression Study on Global Crop Yield Prediction
by: Gupta, Ishaan, et al.
Published: (2023) -
Pragmatist Intelligence: Where the Principle of Usefulness Can Take ANNs
by: Bikić, Antonio, et al.
Published: (2024)