Introduction to Artificial Intelligence in Agriculture
An example of supervised learning for identifying ripe oranges in a photo. Credits: Young Gu Her, UF/IFAS.
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Palabras clave

artificial intelligence
agricultural engineering
information processing
technological change

Categorías

Cómo citar

Her, Young Gu, Nikolay Bliznyuk, Yiannis Ampatzidis, Ziwen Yu, y Haimanote Bayabil. 2024. «Introduction to Artificial Intelligence in Agriculture: AE605, 9 2024». EDIS 2024 (6). Gainesville, FL. https://doi.org/10.32473/edis-ae605-2024.

Resumen

This article is prepared to help Extension agents, farmers, farm managers, researchers, graduate students, and the general public better understand AI, associated terms, and technologies. Written by Young Gu Her, Nikolay Bliznyuk, Yiannis Ampatzidis, Ziwen Yu, and Haimanote Bayabil, and published by the UF/IFAS Department of Agricultural and Biological Engineering, September 2024.

https://doi.org/10.32473/edis-ae605-2024
View on Ask IFAS (English)
PDF-2024 (English)

Citas

Copeland, B. 2023. “artificial intelligence.” Encyclopedia Britannica. https://www.britannica.com/technology/artificial-intelligence

Espejo-Garcia, B., N. Mylonas, L. Athanasakos, S. Fountas, and I. Vasilakoglou. 2020. “Towards Weeds Identification Assistance through Transfer Learning.” Computers and Electronics in Agriculture 171:105306. https://doi.org/10.1016/j.compag.2020.105306

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.

Derechos de autor 2024 UF/IFAS