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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

12Drone Application and Use Cases in Smart Agriculture and Crop Surveillance: Future Research Directions

Nilotpal Das1, Atin Kumar1* and Rohit Kumar2

1School of Agriculture, Uttaranchal University, Premnagar, Dehradun, Uttarakhand, India

2Faculty of Agricultural Sciences, GLA University, Mathura, Uttar Pradesh, India

Abstract

Drones (small unmanned aerial vehicles) present a variety of opportunities for the agricultural industry; common drone uses include pesticide application, soil sampling and fertilization, farm animal observation, real-time aerial imaging, and sensor data collecting. Drones are being extensively promoted for use in agricultural spraying by the Indian federal government. These “Kisan drones” are primarily designed to reduce time, improve resource usage in agricultural sprays (pesticides, etc.), and lessen the negative health impacts of manual pesticide spraying. In the future, airborne imaging, surveying, and transportation are all anticipated to benefit from the use of drones in agriculture. According to this analysis, the government is actively pursuing a liberalized strategy to encourage drones and provide institutions, individual farmers, and businesspeople with significant financial incentives to buy and utilize or manufacture drones. Drones reportedly use resources more effectively and save a significant amount of water. They also save time. In comparison to manual labor costs, the unit economics of drone spray cost per acre is coming up. For young ...

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Publisher Resources

ISBN: 9781394186297Purchase Link