Toward Automated Machine Learning-Based Hyperspectral Image Analysis in Crop Yield and Biomass Estimation

Toward Automated Machine Learning-Based Hyperspectral Image Analysis in Crop Yield and Biomass Estimation

The incorporation of autonomous computation and artificial intelligence (AI) technologies into smart agriculture concepts is becoming an expected scientific procedure. The airborne hyperspectral system with its vast area coverage, high spectral resolution, and varied narrow-band selection is an exce...

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Bibliographic Details
Main Authors: Kai-Yun Li, Raul Sampaio de Lima, Niall G. Burnside, Ele Vahtmäe, Tiit Kutser, Karli Sepp, Victor Henrique Cabral Pinheiro, Ming-Der Yang, Ants Vain, Kalev Sepp
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Remote Sensing
Subjects:
hyperspectral
automated machine learning
vegetation index
yield estimates
biomass estimation
precision agriculture
Online Access:https://www.mdpi.com/2072-4292/14/5/1114

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