An Artificial Intelligence Approach to Prediction of Corn Yields under Extreme Weather Conditions Using Satellite and Meteorological Data

An Artificial Intelligence Approach to Prediction of Corn Yields under Extreme Weather Conditions Using Satellite and Meteorological Data

This paper describes the development of an optimized corn yield prediction model under extreme weather conditions for the Midwestern United States (US). We tested six different artificial intelligence (AI) models using satellite images and meteorological data for the dominant growth period. To exami...

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Bibliographic Details
Main Authors: Nari Kim, Sang-Il Na, Chan-Won Park, Morang Huh, Jaiho Oh, Kyung-Ja Ha, Jaeil Cho, Yang-Won Lee
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Applied Sciences
Subjects:
corn yield
extreme weather
artificial intelligence
satellite image
meteorological data
Online Access:https://www.mdpi.com/2076-3417/10/11/3785

Internet

https://www.mdpi.com/2076-3417/10/11/3785

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