Crop Classification and Yield Prediction Using Robust Machine Learning Models for Agricultural Sustainability

Crop Classification and Yield Prediction Using Robust Machine Learning Models for Agricultural Sustainability

Agriculture is pivotal for the economy of a country as it is a major source of food, employment and raw materials. However, challenges such as diseases, soil degradation, and water scarcity persist. Technology adoption can address these issues, improving production and quality. Machine learning, a s...

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Bibliographic Details
Main Authors: Abid Badshah, Basem Yousef Alkazemi, Fakhrud Din, Kamal Z. Zamli, Muhammad Haris
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Agricultural planning
crop recommendation
crop yield forecasting
explainable AI
K-fold cross-validation
machine learning
Online Access:https://ieeexplore.ieee.org/document/10735786/
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