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...
Saved in:
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: | |
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A deep Spatio-temporal network for vision-based sexual harassment detection
by: Islam, Md Shamimul, et al.
Published: (2021) -
Deep reinforcement learning based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles
by: Abu Jafar, Md Muzahid, et al.
Published: (2022) -
A framework of IoT-enabled vehicular noise intensity monitoring system for smart city
by: Rahim, Md. Abdur, et al.
Published: (2021) -
Email spam: A comprehensive review of optimize detection methods, challenges, and open research problems
by: Tusher, Ekramul Haque, et al.
Published: (2024) -
Deep learning enabled fall detection exploiting gait analysis
by: Anwary, Arif Reza, et al.
Published: (2022)