Integration of Optical and Synthetic Aperture Radar Data with Different Synthetic Aperture Radar Image Processing Techniques and Development Stages to Improve Soybean Yield Prediction

Integration of Optical and Synthetic Aperture Radar Data with Different Synthetic Aperture Radar Image Processing Techniques and Development Stages to Improve Soybean Yield Prediction

Predicting crop yield throughout its development cycle is crucial for planning storage, processing, and distribution. Optical remote sensing has been used for yield prediction but has limitations, such as cloud interference and only capturing canopy-level data. Synthetic Aperture Radar (SAR) complem...

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Bibliographic Details
Main Authors: Isabella A. Cunha, Gustavo M. M. Baptista, Victor Hugo R. Prudente, Derlei D. Melo, Lucas R. Amaral
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Agriculture
Subjects:
precision agriculture
SAR vegetation index
backscatter coefficient
polarimetric decomposition
EVI
machine learning
Online Access:https://www.mdpi.com/2077-0472/14/11/2032
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