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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2Cyber Biosecurity Solutions for Protecting Smart Agriculture and Precision Farming
Balakesava Reddy Parvathala1* and Srinivas Kolli2
1IT, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering & Technology, Hyderabad, Telangana, India
2Department of CSE, Koneru Lakshmaiah Education Foundation, Bowrampet Campus, Hyderabad, India
Abstract
As the demand for food increases, agriculture implements smart technologies to meet. Cyberattacks on the economy are more likely as a result of these automations and the corresponding rise in connectivity. Security in the food supply chain is necessary, as evidenced by the rising frequency of cybersecurity breaches in various industrial sectors. Modern life has undergone a complete transformation thanks to the Internet of Things (IoT) and clever computing technology. The IoT and the data-driven services it enabled were unimaginable just 10 years ago. They are currently pervasive and have an impact on many industries, including healthcare, smart homes, and driving. These kinds of technical inputs are especially welcome in the agricultural sector. Smart technology is used by everyone, from farmers to business owners. In recent years, the agricultural sector and the research community have been interested in smart agriculture (SF) and precision agriculture (PA). The combination of SA and PA enables farmers to reduce inputs (such as fertilizers and pesticides) more successfully but does so at the expense of increased safety risks that ...
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