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

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

<p dir="ltr">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...

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Bibliographic Details
Main Author: Jalal Uddin Md Akbar (21324617) (author)
Other Authors: Syafiq Fauzi Kamarulzaman (20904512) (author), Abu Jafar Md Muzahid (20904509) (author), Md. Arafatur Rahman (21324404) (author), Mueen Uddin (4903510) (author)
Published: 2024
Subjects:
Agricultural, veterinary and food sciences
Crop and pasture production
Horticultural production
Engineering
Biomedical engineering
Chemical engineering
Control engineering, mechatronics and robotics
Environmental sciences
Ecological applications
Environmental management
Information and computing sciences
Artificial intelligence
Computer vision and multimedia computation
Machine learning
Agricultural automation
Computer vision
Deep learning
Convolutional neural networks(CNN)
Controlled-environment agriculture (CEA)
Greenhouse farming
Smart farming
Smart agriculture
Precision agriculture
Image classification
Image segmentation
Object detection
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