A Comparison Between Major Artificial Intelligence Models for Crop Yield Prediction: Case Study of the Midwestern United States, 2006–2015

A Comparison Between Major Artificial Intelligence Models for Crop Yield Prediction: Case Study of the Midwestern United States, 2006–2015

This paper compares different artificial intelligence (AI) models in order to develop the best crop yield prediction model for the Midwestern United States (US). Through experiments to examine the effects of phenology using three different periods, we selected the July−August (JA) database...

Full description

Bibliographic Details
Main Authors: Nari Kim, Kyung-Ja Ha, No-Wook Park, Jaeil Cho, Sungwook Hong, Yang-Won Lee
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:ISPRS International Journal of Geo-Information
Subjects:
crop yield
artificial intelligence
satellite product
meteorological dataset
Online Access:https://www.mdpi.com/2220-9964/8/5/240

Internet

https://www.mdpi.com/2220-9964/8/5/240

Similar Items