A Wavelet Decomposition Method for Estimating Soybean Seed Composition with Hyperspectral Data

A Wavelet Decomposition Method for Estimating Soybean Seed Composition with Hyperspectral Data

Soybean seed composition, particularly protein and oil content, plays a critical role in agricultural practices, influencing crop value, nutritional quality, and marketability. Accurate and efficient methods for predicting seed composition are essential for optimizing crop management and breeding st...

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Bibliographic Details
Main Authors: Aviskar Giri, Vasit Sagan, Haireti Alifu, Abuduwanli Maiwulanjiang, Supria Sarkar, Bishal Roy, Felix B. Fritschi
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
soybean
seed composition
spectroradiometer
remote sensing
hyperspectral imaging
Online Access:https://www.mdpi.com/2072-4292/16/23/4594
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