Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review
© 2023 Mesías-Ruiz, Pérez-Ortiz, Dorado, de Castro and Peña. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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Main Authors: | , , , , |
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Format: | artículo de revisión biblioteca |
Language: | English |
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Frontiers Media
2023-03-22
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Subjects: | Artificial intelligence, Decision support system (DDS), Deep learning, Precision agriculture, Robotics, Unmanned aerial vehicles, |
Online Access: | http://hdl.handle.net/10261/311175 http://dx.doi.org/10.13039/501100011033 https://api.elsevier.com/content/abstract/scopus_id/85153335582 |
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