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Computer Vision in Smart Agriculture and Crop Management
book

Computer Vision in Smart Agriculture and Crop Management

by Rajesh Kumar Dhanaraj, Balamurugan Balusamy, Prithi Samuel, Malathy Sathyamoorthy, Ali Kashif Bashir
December 2024
Intermediate to advanced
400 pages
10h 50m
English
Wiley-Scrivener
Content preview from Computer Vision in Smart Agriculture and Crop Management

11Forestry Management with AI and Drone Technology – Digital Forestry

M. Shanthalakshmi*, M. Jeevasree, R. Kavitha, V. Madhumathi, S. Mythreye and A. Naafiah Yusra

Sri Venkateswara College of Engineering, Sriperumbudur, India

Abstract

Effective forest management protects the incredible variety found in nature. In order to preserve this invaluable asset, we need to employ cutting-edge forest management techniques. Remote sensing and drone technologies have emerged as the fundamental foundations of today’s most well-known developments in technology due to the high-resolution satellite images employed in the data collecting and processing procedures. In the rapidly growing sector of “digital forestry,” these technologies are indispensable. Using digital tools like remote sensing, big data, and artificial intelligence (AI), “digital forestry” measures, monitors, and manages forests to maximize their social, economic, and ecological advantages. Using AI and the Internet of Things (IoT) to analyze massive amounts of data might significantly improve our ability to predict, prevent, and deal with forest disturbances. In the end, this will allow for better forest management that can last for generations. With the use of technology, especially AI, public organizations, governments, and individuals may better respond to threats. By analyzing the data, looking for indicators of deforestation, and taking steps to prevent the process, conservationists are able to maintain track of the land’s ...

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Publisher Resources

ISBN: 9781394186297Purchase Link