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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

7An Advanced Application of UAV – Drone Technologies in Precision Agriculture for Seed Dropping, Fertilizers and Pesticides Spraying and Field Monitoring

Daniel Lawrence I.1*, A. Rehash Rushmi Pavitra2, Ragupathy Karu3 and M.P. Saravanan4

1Agni College of Technology, Chennai, Tamil Nadu, India

2SRM Institute of Science & Technology, Chennai, Tamil Nadu, India

3Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu, India

4Saveetha Engineering College, Chennai, Tamil Nadu, India

Abstract

In precision agriculture, too much advancement has been made to boost crop output. Almost 70% of rural residents in nations like India depend mostly on agriculture for their income. Sensors and the Internet of Things are crucial for creating a more environment-friendly and fruitful global agriculture. Large volumes of data may be intelligently monitored and analyzed to provide deeper understanding and information that can then be used to improve forecasting, judgment, and sensor management. Unmanned aerial vehicles (UAVs), that could potentially quickly be deployed for monitoring reasons, have considerably benefitted precision agriculture. The World Health Organization (WHO) has reported adverse effects from manual fertilizer and pesticide spraying, causing a million cases. To address this issue, drones are being used to spray fertilizers and pesticides at different densities. These UAVs can assist farmers in increasing crop production by monitoring crop health and soil health, reducing ...

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Publisher Resources

ISBN: 9781394186297Purchase Link