Applications of Artificial Intelligence for Precision Agriculture

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 intelligen...

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Main Author: Yiannis Ampatzidis
Format: Article
Language:English
Published: The University of Florida George A. Smathers Libraries 2018-12-01
Series:EDIS
Subjects:
Online Access:https://journals.flvc.org/edis/article/view/106159
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author Yiannis Ampatzidis
author_facet Yiannis Ampatzidis
author_sort Yiannis Ampatzidis
collection DOAJ
description 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
format Article
id doaj-art-125e5c90b773401b9c34bf3d52ebe713
institution Kabale University
issn 2576-0009
language English
publishDate 2018-12-01
publisher The University of Florida George A. Smathers Libraries
record_format Article
series EDIS
spelling doaj-art-125e5c90b773401b9c34bf3d52ebe7132025-02-08T05:52:32ZengThe University of Florida George A. Smathers LibrariesEDIS2576-00092018-12-0120186Applications of Artificial Intelligence for Precision AgricultureYiannis Ampatzidis0https://orcid.org/0000-0002-3660-3298University of Florida 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 https://journals.flvc.org/edis/article/view/106159Artificial IntelligenceMachine LearningPrecision Agriculture
spellingShingle Yiannis Ampatzidis
Applications of Artificial Intelligence for Precision Agriculture
EDIS
Artificial Intelligence
Machine Learning
Precision Agriculture
title Applications of Artificial Intelligence for Precision Agriculture
title_full Applications of Artificial Intelligence for Precision Agriculture
title_fullStr Applications of Artificial Intelligence for Precision Agriculture
title_full_unstemmed Applications of Artificial Intelligence for Precision Agriculture
title_short Applications of Artificial Intelligence for Precision Agriculture
title_sort applications of artificial intelligence for precision agriculture
topic Artificial Intelligence
Machine Learning
Precision Agriculture
url https://journals.flvc.org/edis/article/view/106159
work_keys_str_mv AT yiannisampatzidis applicationsofartificialintelligenceforprecisionagriculture