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Daeun Choi

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Daeun Choi

Orcid ID0000-0002-4289-5629

Specialist

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Publications

thumbnail for publication: Understanding Artificial Intelligence: What It Is and How It Is Used in Agriculture

Understanding Artificial Intelligence: What It Is and How It Is Used in Agriculture

Daeun Choi, Omeed Mirbod, Uchechukwu Ilodibe, and Steven Kinsey

The primary goal of this article is to provide background knowledge and terms that frequently come up in other articles about AI as well as in general use. The target audiences of this series include the general public, Extension educators, and farmers who want to know more about AI systems and their applications. This series will help readers understand the opportunities that AI brings to agriculture as smart technologies continue to grow in the market. Written by Daeun Choi, Omeed Mirbod, Uchechukwu Ilodibe, and Steven Kinsey, and published by the UF/IFAS Department of Agricultural and Biological Engineering, October 2023.

thumbnail for publication: How AI Can Analyze Images: An Introductory Case Study Using Mushroom Detection

How AI Can Analyze Images: An Introductory Case Study Using Mushroom Detection

Namrata Dutt and Daeun Choi

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.