Estimating rice yield under different wheat residue coverage levels using multispectral Gaofen satellite data and remote sensing indices

Estimating rice yield under different wheat residue coverage levels using multispectral Gaofen satellite data and remote sensing indices

Satellite remote sensing (RS) offers an efficient, large-scale approach for monitoring crop health, particularly in precise estimation of crop yields. Rice is a staple food for over three billion people worldwide, making it crucial to estimate rice yield promptly to ensure food security and support...

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Bibliographic Details
Main Authors: Muhammad Sohail Memon, Shuren Chen, Jun Guo, Babar Iqbal, Zhiqiang Du, Mohamed Farag Taha, Noreena Memon
Format: Article
Language:English
Published: PAGEPress Publications 2025-06-01
Series:Journal of Agricultural Engineering
Subjects:
Crop residue management
NDVI
precision agriculture
rice mapping
yield prediction
Online Access:https://www.agroengineering.org/jae/article/view/1698
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