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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Format: | Article |
Language: | English |
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The University of Florida George A. Smathers Libraries
2018-12-01
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Series: | EDIS |
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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 |
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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
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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 |