Crop Yield Prediction through Proximal Sensing and Machine Learning Algorithms

Crop Yield Prediction through Proximal Sensing and Machine Learning Algorithms

Proximal sensing techniques can potentially survey soil and crop variables responsible for variations in crop yield. The full potential of these precision agriculture technologies may be exploited in combination with innovative methods of data processing such as machine learning (ML) algorithms for...

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Bibliographic Details
Main Authors: Farhat Abbas, Hassan Afzaal, Aitazaz A. Farooque, Skylar Tang
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Agronomy
Subjects:
elastic net
k-nearest neighbor
precision agriculture
support vector regression
yield modeling
Online Access:https://www.mdpi.com/2073-4395/10/7/1046

Internet

https://www.mdpi.com/2073-4395/10/7/1046

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