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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8Cognitive Intelligence and Distributed Computing Systems Applications in Smart Farming
Sangeetha Radhakrishnan1* and A. Prasanth2
1Department of BCA & IT, School of Computing Sciences, Vels Institute of Science and Technology and Advanced Studies (VISTAS), Chennai, India
2Department of Electronics & Communication Engineering, Sri Venkateswara College of Engineering Sriperumbudur, Chennai, Tamil Nadu, India
Abstract
Agriculture is the dominant sector of the economy in at least nine countries of the world. Farming provides fuel for billions of populations, as well as job opportunities to plenty of people. Traditionally, no automated approach is equipped. Hence, farmers have to do all the work manually. So, automated techniques are required to enhance the farming process. Employing artificial intelligence in the field of agriculture commonly known as agriculture intelligence is a surging form of technological revolution. In this chapter, we are throwing light on to the applications of cognitive intelligence and the distributing computing in smart farming techniques. The various applications for the smart farming like the disease prediction, precision farming and the crop analyzing using cognitive intelligence tools are explained in detail.
Keywords: Artificial intelligence, cognitive intelligence , distributed computing, smart farming
8.1 Introduction
Farming is considered as the predominant sector of the world’s economy, which contributes to approximately 6.4% of economic ...
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