A Comprehensive Review on Deep Learning Assisted Computer Vision Techniques for Smart Greenhouse Agriculture

With the escalating global challenges of food security and resource sustainability, innovative solutions like deep learning and computer vision are transforming agricultural practices by enabling data-driven decision-making. This paper provides a focused review of recent advancements in deep learnin...

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Veröffentlicht in:	IEEE access Jg. 12; S. 1
Hauptverfasser:	Akbar, Jalal Uddin Md, Kamarulzaman, Syafiq Fauzi, Muzahid, Abu Jafar Md, Rahman, Md Arafatur, Uddin, Mueen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Agricultural automation Agricultural practices Agriculture Air pollution Computer vision Controlled-environment agriculture (CEA) Convolutional neural networks Convolutional neural networks(CNN) Crops Deep learning Farming Green products Greenhouse farming Greenhouses Image classification Image segmentation Object detection Precision agriculture Smart agriculture Smart farming State-of-the-art reviews
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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