Using Machine Learning and Feature Selection for Alfalfa Yield Prediction

Using Machine Learning and Feature Selection for Alfalfa Yield Prediction

Predicting alfalfa biomass and crop yield for livestock feed is important to the daily lives of virtually everyone, and many features of data from this domain combined with corresponding weather data can be used to train machine learning models for yield prediction. In this work, we used yield data...

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Bibliographic Details
Main Authors: Christopher D. Whitmire, Jonathan M. Vance, Hend K. Rasheed, Ali Missaoui, Khaled M. Rasheed, Frederick W. Maier
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:AI
Subjects:
alfalfa
cross validation
feature selection
machine learning
regression
yield prediction
Online Access:https://www.mdpi.com/2673-2688/2/1/6

Internet

https://www.mdpi.com/2673-2688/2/1/6

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