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
Publisher
University of Florida George A Smathers Libraries
Cited by
5 articles.
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