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

• Main Authors: Akbar, Jalal Uddin Md, Syafiq Fauzi, Kamarulzaman, Abu Jafar, Md Muzahid, Rahman, Md. Arafatur, Uddin, Mueen
• Format: Article
• Language: English
• Published: IEEE 2024
• Subjects: QA75 Electronic computers. Computer science; T Technology (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/40096/1/A_Comprehensive_Review_on_Deep_Learning_Assisted_Computer_Vision_Techniques_for_Smart_Greenhouse_Agriculture.pdf; http://umpir.ump.edu.my/id/eprint/40096/; https://doi.org/10.1109/ACCESS.2024.3349418

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...