IFAS Extension
How AI Can Analyze Images: An Introductory Case Study Using Mushroom Detection
Release Date: 12/16/2025
Agriculture
Abstract
This article provides an introductory overview of how computers analyze images using artificial intelligence (AI) and computer vision. To illustrate the concepts, the publication uses mushrooms as an example case for object detection. Although mushroom detection is used for demonstration, the goal of this article is to help readers understand how AI-based image analysis supports broader agricultural and environmental applications. Written by Namrata Dutt and Daeun Choi, and published by the UF/IFAS Department of Agricultural and Biological Engineering, December 2025.
About this Publication
This document is AE614, a publication of the Department of Agricultural and Biological Engineering, UF/IFAS Extension. Original publication date December 2025. Visit the EDIS website at https://edis.ifas.ufl.edu for the currently supported version of this publication. © 2025 UF/IFAS. This publication is licensed under CC BY-NC-ND 4.0.
How to Cite
Dutt, N., & Choi, D. (2025). How AI Can Analyze Images: An Introductory Case Study Using Mushroom Detection. EDIS, 2025(6). https://doi.org/10.32473/edis-ae614-2025
Authors
Namrata Dutt
student
University of Florida
graduate research assistant, Department of Agricultural and Biological Engineering, UF/IFAS Gulf Coast Research and Education Center, Wimauma, FL
Daeun Choi
Specialist
University of Florida
assistant professor, precision agriculture for specialty crops, Department of Agricultural and Biological Engineering, UF/IFAS Gulf Coast Research and Education Center, Wimauma, FL
Publication #AE614
