Applications of Artificial Intelligence for Precision Agriculture
Red-colored fruit of 'Flordaguard' rootstock trees. Figure 6 from Rootstocks for Florida Stone Fruit: HS1110/HS366
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Keywords

Artificial Intelligence
Machine Learning
Precision Agriculture

How to Cite

Ampatzidis, Yiannis. 2018. “Applications of Artificial Intelligence for Precision Agriculture: AE529, 12 2018”. EDIS 2018 (6). Gainesville, FL. https://doi.org/10.32473/edis-ae529-2018.

Abstract

Technological advances in computer vision, mechatronics, artificial intelligence and machine learning have enabled the development and implementation of remote sensing technologies for plant/weed/pest/disease identification and management. They provide a unique opportunity for developing intelligent agricultural systems for precision applications. Herein, the Artificial Intelligence (AI) and Machine Learning concepts are described, and several examples are presented to demonstrate the application of the AI in agriculture.

Available on EDIS at: https://edis.ifas.ufl.edu/ae529

Accessibility Summary:

In accordance with Title II regulations this content meets all points of exemption as Archived web content and/or Preexisting conventional electronic documents.

https://doi.org/10.32473/edis-ae529-2018
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PDF-2018

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