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Artificial Intelligence (AI) For Crop Yield Forecasting

, , Clyde Fraisse, Yiannis Ampatzidis, Sandra Guzmán, Won Suk Lee, Sanjay Shukla, andZiwen Yu


Release Date: 3/19/2026

DOI: 10.32473/EDIS-AE571-2022

Agriculture

Abstract

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, Wonsuk Lee, Christopher Martinez, Sanjay Shukla, Aditya Singh, and Ziwen Yu, and published by the UF/IFAS Department of Agricultural and Biological Engineering, April 2022.

About this Publication

This document is AE571, one of a series of the Department of Agricultural and Biological Engineering, UF/IFAS Extension. Original publication date April 2022. Revised October 2025. Visit the EDIS website at https://edis.ifas.ufl.edu for the currently supported version of this publication.

How to Cite

Fraisse, C., Ampatzidis, Y., Guzmán, S., Lee, W., Martinez, C., Shukla, S., Singh, A., & Yu, Z. (2022). Artificial Intelligence (AI) for Crop Yield Forecasting. EDIS, 2022(2). https://doi.org/10.32473/edis-ae571-2022

Authors

Christopher Martinez
Christopher Martinez

former associate professor, UF/IFAS Department of Agricultural and Biological Engineering, Gainesville, FL

Aditya Singh
Aditya Singh

assistant professor, remote sensing and spectroscopy, UF/IFAS Department of Agricultural and Biological Engineering, Gainesville, FL 

Clyde Fraisse
Clyde Fraisse
Specialist
University of Florida

professor, agrometeorology, UF/IFAS Department of Agricultural and Biological Engineering, Gainesville, FL

Yiannis Ampatzidis
Yiannis Ampatzidis
Specialist
University of Florida

professor, precision agriculture/automation, smart machines, UF/IFAS Southwest Florida Research and Education Center

Sandra Guzmán
Sandra Guzmán
Specialist
University of Florida

associate professor, water resources, Department of Agricultural and Biological Engineering, UF/IFAS Indian River Research and Education Center, Fort Pierce, FL

Won Suk Lee
Won Suk Lee
Specialist
University of Florida

professor, machine vision and precision agriculture, UF/IFAS Department of Agricultural and Biological Engineering, Gainesville, FL

Sanjay Shukla
Sanjay Shukla
Specialist
University of Florida

professor, water quality, Department of Agricultural and Biological Engineering, UF/IFAS Southwest Florida Research and Education Center, Immokalee, FL 

Ziwen Yu
Ziwen Yu
Specialist
University of Florida

assistant professor, big data analytics, UF/IFAS Department of Agricultural and Biological Engineering, Gainesville, FL

Publication #AE571

Peer Reviewed
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