Image de couverture de livre

A Machine Learning Approach for Crop Yield and Disease Prediction Integrating Soil Nutrition and Weather Factors

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ahmed, Forkan Uddin, Das, Annesha, Zubair, Md
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Machine Learning Models for Soil Parameter Prediction Based on Satellite, Weather, Clay and Yield Data
par: Kammerlander, Calvin, et autres
Publié: (2025)

Agricultural Recommendation System based on Deep Learning: A Multivariate Weather Forecasting Approach
par: Zubair, Md, et autres
Publié: (2024)

Intrinsic Explainability of Multimodal Learning for Crop Yield Prediction
par: Najjar, Hiba, et autres
Publié: (2025)

Modeling Electric Vehicle Car-Following Behavior: Classical vs Machine Learning Approach
par: Uddin, Md. Shihab, et autres
Publié: (2025)

Naïve Bayes and Random Forest for Crop Yield Prediction
par: Maazallahi, Abbas, et autres
Publié: (2024)

Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion
par: Amin, Md. Tahsin, et autres
Publié: (2026)

How Ensemble Learning Balances Accuracy and Overfitting: A Bias-Variance Perspective on Tabular Data
par: Mohammad, Zubair Ahmed
Publié: (2025)

Impact, Causation and Prediction of Socio-Academic and Economic Factors in Exam-centric Student Evaluation Measures using Machine Learning and Causal Analysis
par: Hosen, Md. Biplob, et autres
Publié: (2025)

Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease Prediction
par: Ahmed, Iftekhar, et autres
Publié: (2025)

Comparative Analysis of Deep Learning Models for Crop Disease Detection: A Transfer Learning Approach
par: Subramaniam, Saundarya, et autres
Publié: (2025)

Explainable Machine Learning Framework for Cardiovascular Disease Diagnosis and Prognosis
par: Sourov, Md. Emon Akter, et autres
Publié: (2025)

Improving Early Prediction of Type 2 Diabetes Mellitus with ECG-DiaNet: A Multimodal Neural Network Leveraging Electrocardiogram and Clinical Risk Factors
par: Mohsen, Farida, et autres
Publié: (2025)

UniCrop: A Universal, Multi-Source Data Engineering Pipeline for Scalable Crop Yield Prediction
par: Khidirova, Emiliya, et autres
Publié: (2026)

Augmenting The Weather: A Hybrid Counterfactual-SMOTE Algorithm for Improving Crop Growth Prediction When Climate Changes
par: Temraz, Mohammed, et autres
Publié: (2025)

Predicting Solar Energy Generation with Machine Learning based on AQI and Weather Features
par: Shah, Arjun, et autres
Publié: (2024)

Hierarchical Federated Learning for Crop Yield Prediction in Smart Agricultural Production Systems
par: Abouaomar, Anas, et autres
Publié: (2025)

Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting
par: Miranda, Miro, et autres
Publié: (2024)

Interpretable Machine Learning for Weather and Climate Prediction: A Survey
par: Yang, Ruyi, et autres
Publié: (2024)

Innovations in Agricultural Forecasting: A Multivariate Regression Study on Global Crop Yield Prediction
par: Gupta, Ishaan, et autres
Publié: (2023)

Predicting Short Term Energy Demand in Smart Grid: A Deep Learning Approach for Integrating Renewable Energy Sources in Line with SDGs 7, 9, and 13
par: Miah, Md Saef Ullah, et autres
Publié: (2023)

Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification
par: Dana, Zachary, et autres
Publié: (2024)

Bank Loan Prediction Using Machine Learning Techniques
par: Haque, F M Ahosanul, et autres
Publié: (2024)

Lightweight Model for Poultry Disease Detection from Fecal Images Using Multi-Color Space Feature Optimization and Machine Learning
par: Islam, A. K. M. Shoriful, et autres
Publié: (2025)

Soil Characterization of Watermelon Field through Internet of Things: A New Approach to Soil Salinity Measurement
par: Rahman, Md. Naimur, et autres
Publié: (2024)

DiabetesNet: A Deep Learning Approach to Diabetes Diagnosis
par: Zhang, Zeyu, et autres
Publié: (2024)

DPCformer: An Interpretable Deep Learning Model for Genomic Prediction in Crops
par: Deng, Pengcheng, et autres
Publié: (2025)

Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach
par: Bayram, Firas, et autres
Publié: (2024)

An Explainable Ensemble Learning Framework for Crop Classification with Optimized Feature Pyramids and Deep Networks
par: Masud, Syed Rayhan, et autres
Publié: (2026)

Diabetes Prediction and Management Using Machine Learning Approaches
par: Alzboon, Mowafaq Salem, et autres
Publié: (2025)

Hybrid SARIMA LSTM Model for Local Weather Forecasting: A Residual Learning Approach for Data Driven Meteorological Prediction
par: Rajeev, Shreyas, et autres
Publié: (2026)

Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction
par: Zheng, Jiaqi, et autres
Publié: (2025)

A Systematic Review on Sleep Stage Classification and Sleep Disorder Detection Using Artificial Intelligence
par: Wara, Tayab Uddin, et autres
Publié: (2024)

Interpretable Physics-Informed Load Forecasting for U.S. Grid Resilience: SHAP-Guided Ensemble Validation in Hybrid Deep Learning Under Extreme Weather
par: Abubakkar, Md, et autres
Publié: (2026)

An Explainable Transformer-based Model for Phishing Email Detection: A Large Language Model Approach
par: Uddin, Mohammad Amaz, et autres
Publié: (2024)

Feature Engineering Approach to Building Load Prediction: A Case Study for Commercial Building Chiller Plant Optimization in Tropical Weather
par: Wang, Zhan, et autres
Publié: (2025)

Energy-Efficient Deep Reinforcement Learning with Spiking Transformers
par: Uddin, Mohammad Irfan, et autres
Publié: (2025)

A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives
par: Lamir, Ali Azimi, et autres
Publié: (2025)

COVID-19 Probability Prediction Using Machine Learning: An Infectious Approach
par: Ilani, Mohsen Asghari, et autres
Publié: (2024)

Predicting Crop Yield With Machine Learning: An Extensive Analysis Of Input Modalities And Models On a Field and sub-field Level
par: Pathak, Deepak, et autres
Publié: (2023)

A Scientific Machine Learning Approach for Predicting and Forecasting Battery Degradation in Electric Vehicles
par: Murgai, Sharv, et autres
Publié: (2024)