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Titel:Computer vision in smart agriculture and crop management
Mitwirkende:Dhanaraj, Rajesh Kumar [HerausgeberIn]   i
Verf.angabe:edited by Rajesh Kumar Dhanaraj... [and 4 others]
Verlagsort:Hoboken, NJ ; Beverly, MA
 Hoboken, NJ ; Beverly, MA
Verlag:John Wiley & Sons, Inc.
 Scrivener Publishing LLC
Jahr:2025
 2025
Umfang:1 online resource
Fussnoten:Description based on online resource; title from digital title page (viewed on November 22, 2024)
ISBN:978-1-394-18668-6
 1-394-18668-1
 978-1-394-18667-9
 1-394-18667-3
 978-1-394-18629-7
Abstract:This book is essential for anyone interested in understanding how smart agriculture, utilizing information and technology such as computer vision and deep learning, can revolutionize agriculture productivity, resolve ongoing concerns, and enhance economic and general effectiveness in farming. The need for a reliable food supply has driven the development of smart agriculture, which leverages technology to assist farmers, especially in remote areas. A key component is computer vision (CV) technology, which, combined with deep learning, can manage agricultural productivity and enhance automation systems for improved efficiency and cost-effectiveness. Automation in agriculture ensures benefits like reduced costs, high performance, and accuracy. Aerial imaging and high-throughput research enable effective crop monitoring and management. Computer vision and AI models aid in detecting plant health, impurities, and pests, supporting sustainable farming. This book explores using CV and AI to develop smart agriculture through deep learning, data mining, and intelligent applications.
URL:Aggregator: https://learning.oreilly.com/library/view/-/9781394186297/?ar
Datenträger:Online-Ressource
Sprache:eng
Bibliogr. Hinweis:Erscheint auch als : Druck-Ausgabe
Sach-SW:Agriculture ; Innovations
K10plus-PPN:1914061055
 
 
Lokale URL UB: Zum Volltext
 
 Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
 Klinikum MA Bestellen/Vormerken für Benutzer des Klinikums Mannheim
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Bibliothek/Idn:UW / m4648236416
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