Artificial Intelligence (AI) for Crop Yield Forecasting

Artificial Intelligence (AI) for Crop Yield Forecasting

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This publication aims to introduce readers to recent crop yield forecasting approaches based on artificial intelligence (AI) and to provide examples of how AI can potentially improve yield forecasting at the field and regional levels. Written by Clyde Fraisse, Yiannis Ampatzidis, Sandra Guzmán, Won...

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Bibliographic Details
Main Authors: Clyde Fraisse, Yiannis Ampatzidis, Sandra Guzmán, Wonsuk Lee, Christopher Martinez, Sanjay Shukla, Aditya Singh, Ziwen Yu
Format: Article
Language:English
Published: The University of Florida George A. Smathers Libraries 2022-04-01
Series:EDIS
Subjects:
yield prediction
corn
wheat
strawberry
citrus
Online Access:https://ojs.test.flvc.org/edis/article/view/129532
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