Sugarcane Biomass Prediction with Multi-Mode Remote Sensing Data Using Deep Archetypal Analysis and Integrated Learning

Sugarcane Biomass Prediction with Multi-Mode Remote Sensing Data Using Deep Archetypal Analysis and Integrated Learning

The use of multi-mode remote sensing data for biomass prediction is of potential value to aid planting management and yield maximization. In this study, an advanced biomass estimation approach for sugarcane fields is proposed based on multi-source remote sensing data. Since feature interpretability...

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Bibliographic Details
Main Authors: Zhuowei Wang, Yusheng Lu, Genping Zhao, Chuanliang Sun, Fuhua Zhang, Su He
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
biomass prediction
multi-mode remote sensing data
deep archetypal analysis
integrated learning
Online Access:https://www.mdpi.com/2072-4292/14/19/4944

Internet

https://www.mdpi.com/2072-4292/14/19/4944

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