December 2024
Intermediate to advanced
400 pages
10h 50m
English
book
Computer Vision in Smart Agriculture and Crop Management
by Rajesh Kumar Dhanaraj, Balamurugan Balusamy, Prithi Samuel, Malathy Sathyamoorthy, Ali Kashif Bashir
Content preview from Computer Vision in Smart Agriculture and Crop Management
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10Computer Vision Systems in Livestock Farming, Poultry Farming, and Fish Farming: Applications, Use Cases, and Research Directions
Balasubramaniam S.1*, Vijesh Joe C.2, A. Prasanth3 and K. Satheesh Kumar4
1School of Computer Science and Engineering, Kerala University of Digital Sciences, Innovation and Technology (Formerly IIITM-K), Digital University Kerala, Thiruvananthapuram, Kerala, India
2Computer Engineering, Sankar Polytechnic College, Tirunelveli, Tamilnadu, India
3Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamilnadu, India
4School of Digital Sciences, Kerala University of Digital Sciences, Innovation and Technology (Formerly IIITM-K), Digital University Kerala, Thiruvananthapuram, Kerala, India
Abstract
Agriculture provides human facilities through raising plants and livestock. Agriculture fuels a sedentary lifestyle. Smart agriculture is new, and a number of farmers do not know what it means. The field of artificial intelligence (AI) known as “computer vision” analyzes visual data such as digital pictures, movies, and other visual inputs to form conclusions and recommendations. Computer vision is revolutionizing agriculture. Livestock, poultry, and fish farms should supply foods like meat, milk, eggs, and offal as 30% of the daily protein requirement. Thus, we require a precise and timely animal count. This technology makes cattle tracking and counting easy. Assessing and managing ...
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