Computer Vision in Smart Agriculture and Crop Management
by Rajesh Kumar Dhanaraj, Balamurugan Balusamy, Prithi Samuel, Malathy Sathyamoorthy, Ali Kashif Bashir
1Computer Vision-Based Innovations for Smart Agriculture and Crop Surveillance: Evolution, Trends, and Future Challenges
M. Nalini* and B. Yoga Bhuvaneswari
Department of Electronics and Instrumentation Engineering, Sri Sairam Engineering College, Chennai, India
Abstract
The economic prosperity of a nation relies heavily on its agricultural industry. Due to population expansion, frequent climate change, and material restriction, it has become harder to supply the food needs of the present population. Precision agriculture, also frequently referred to as smart agriculture, is a cutting-edge method for addressing the challenges associated with agricultural sustainability. This cutting-edge technology is powered by a system based on computer vision (CV) and artificial intelligence (AI). These AI and CV techniques have made remarkable contributions to the agricultural industry in the areas of plant health detection and monitoring, planting, weeding, harvesting, and modern weather forecast analysis. So many use cases of smart farming have an influence on the whole food supply chain by offering insightful data on the entire agricultural process, easing operational decision-making in real-time, and improving farming methods by adding smart sensors and equipment to the field. The use of CV in agriculture has recently increased. Computer vision has enormous potential to improve the whole functioning of the agricultural industry, from lowering production costs through intelligent automation ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access