Enhancing Smallholder Wheat Yield Prediction through Sensor Fusion and Phenology with Machine Learning and Deep Learning Methods

Enhancing Smallholder Wheat Yield Prediction through Sensor Fusion and Phenology with Machine Learning and Deep Learning Methods

Field-scale prediction methods that use remote sensing are significant in many global projects; however, the existing methods have several limitations. In particular, the characteristics of smallholder systems pose a unique challenge in the development of reliable prediction methods. Therefore, in t...

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Bibliographic Details
Main Authors: Andualem Aklilu Tesfaye, Berhan Gessesse Awoke, Tesfaye Shiferaw Sida, Daniel E. Osgood
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Agriculture
Subjects:
automated machine learning
crop phenology
deep learning
remote sensing
sensor fusion
smallholder
Online Access:https://www.mdpi.com/2077-0472/12/9/1352

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