Nikhil Kumar Udaynarayan Yadav,
Sonu Gulab Chauhan,
- Research Scholar, Department of Master of Computer Applications, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR), Mumbai, India
- Research Scholar, Department of Master of Computer Applications, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR), Mumbai, India
Abstract
The integration of computer vision technology in smart agriculture has marked a significant advancement in the way farming operations are conducted, leading to enhanced productivity and efficiency. This paper explores the multifaceted applications of computer vision, which include crop monitoring, disease detection, automatic harvesting, and quality inspection. By utilizing high-resolution imaging and advanced algorithms, farmers can achieve real-time insights into crop health and growth stages, enabling them to make informed decisions that optimize yield. Despite these advancements, challenges such as varying environmental conditions, the need for extensive training data, and the integration of these systems into existing agricultural practices remain. Future prospects include the seamless integration of computer vision with intelligent systems, such as artificial intelligence and the internet of things (IoT), which could lead to fully automated farming environments.
Keywords: Advanced agriculture, crop monitoring, automatic harvesting, convolutional neural networks (CNNs), internet of things (IoT)
[This article belongs to Journal of Electronic Design Technology ]
Nikhil Kumar Udaynarayan Yadav, Sonu Gulab Chauhan. Revolutionizing Agriculture with Advanced Computer Vision Technologies. Journal of Electronic Design Technology. 2025; 16(02):24-30.
Nikhil Kumar Udaynarayan Yadav, Sonu Gulab Chauhan. Revolutionizing Agriculture with Advanced Computer Vision Technologies. Journal of Electronic Design Technology. 2025; 16(02):24-30. Available from: https://journals.stmjournals.com/joedt/article=2025/view=214011
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Journal of Electronic Design Technology
| Volume | 16 |
| Issue | 02 |
| Received | 02/04/2025 |
| Accepted | 28/04/2025 |
| Published | 22/05/2025 |
| Publication Time | 50 Days |
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