Accurate Wheat Yield Prediction Using Machine Learning and Climate-NDVI Data Fusion

Accurate Wheat Yield Prediction Using Machine Learning and Climate-NDVI Data Fusion

Due to exponential population growth, climate change, and an increasing demand for food, there is an unprecedented need for a timely, precise, and dependable assessment of crop yield on a large scale. Wheat, a staple crop worldwide, requires accurate and prompt prediction of its output for global fo...

Full description

Bibliographic Details
Main Authors: Muhammad Ashfaq, Imran Khan, Abdulrahman Alzahrani, Muhammad Usman Tariq, Humera Khan, Anwar Ghani
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Machine learning
RF
LASSO
remote sensing
SVM
CNN
Online Access:https://ieeexplore.ieee.org/document/10471549/

Internet

https://ieeexplore.ieee.org/document/10471549/

Similar Items