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Unmanned Aerial Vehicle Systems in Crop Production

Download or Read eBook Unmanned Aerial Vehicle Systems in Crop Production PDF written by K. R. Krishna and published by CRC Press. This book was released on 2019-07-11 with total page 673 pages. Available in PDF, EPUB and Kindle.
Unmanned Aerial Vehicle Systems in Crop Production
Author :
Publisher : CRC Press
Total Pages : 673
Release :
ISBN-10 : 9780429757471
ISBN-13 : 0429757476
Rating : 4/5 (71 Downloads)

Book Synopsis Unmanned Aerial Vehicle Systems in Crop Production by : K. R. Krishna

Book excerpt: This volume responds to the growing interest in adopting aerial robots (UAVs, or drones) for agricultural crop production, which are revolutionizing farming methods worldwide. The book provides a detailed review of 250 UAVs that examines their usefulness in enhancing profitability, yield, and quality of crop production. Recent trends indicate an increase in agricultural drone production and use. Millions of dollars have been invested in start-ups that produce agro-drones in the past several years. North America, Europe, China, and the Far East have excelled in offering a large number of UAV models. Some of them are versatile, a few are specific, and many of them are low cost. With so many drone models (over 1200) available, how do farmers and agricultural specialists choose the models best for them? This compendium examines the most useful drones and provides the pertinent details about each drone, its producer, cost incurred, and its pros and cons. It covers their technical specifications, suitability for various purposes, previous performances in farms, and possible benefits to farmers. It covers fixed-wing drones, fixed-winged (hybrid) VTOL helicopters, multi-copters, tilted-wing drones, etc. The book includes a few drones meant more for military or other purposes (e.g. recreation/fun) but that could be easily modified and adapted for the farming sector. The reviews compare activities among the UAVs, such aerial imagery of crops, ability to provide spectral analyses to collect useful data about a crop’s growth patterns, and how they can be used to gauge crop canopy temperature (i.e. water stress index), determine grain maturity, and much more.


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