A Literature Survey of Unmanned Aerial Vehicle Usage for Civil Applications

Author(s):  
Mithra Sivakumar ◽  
Naga Malleswari TYJ
Author(s):  
Vandana C P ◽  
Anuj Prakash ◽  
Arnab Bhowal ◽  
Monisha Taj D

This paper is an intend to consolidate the review and perform literature survey on Drone Assisted Effective Sprayer. In this paper we consider how we use unmanned aerial vehicle (drone) in effective pesticide spraying using algorithms like CNN and YOLO. In India, Agriculture is a major sector of our economy. To increase the gross crop yield and to enhance the potency of the crops, the application of pesticides and fertilizers is crucial. To increase the speed and effectiveness of the spraying process, the use of drones are being introduced in agriculture all around the world. The same pesticide cannot be sprayed over different crops as their requirements differ. In this paper we analyse CNN and YOLO algorithms to find a specific crop and spray pesticide to a specific area of crop field.


2018 ◽  
Vol 6 (1) ◽  
pp. 32-46 ◽  
Author(s):  
N. Aswini ◽  
E. Krishna Kumar ◽  
S.V. Uma

Purpose The purpose of this paper is to provide an overview of unmanned aerial vehicle (UAV) developments, types, the major functional components of UAV, challenges, and trends of UAVs, and among the various challenges, the authors are concentrating more on obstacle sensing methods. This also highlights the scope of on-board vision-based obstacle sensing for miniature UAVs. Design/methodology/approach The paper initially discusses the basic functional elements of UAV, then considers the different challenges faced by UAV designers. The authors have narrowed down the study on obstacle detection and sensing methods for autonomous operation. Findings Among the various existing obstacle sensing techniques, on-board vision-based obstacle detection has better scope in the future requirements of miniature UAVs to make it completely autonomous. Originality/value The paper gives original review points by doing a thorough literature survey on various obstacle sensing techniques used for UAVs.


2020 ◽  
Vol 20 (4) ◽  
pp. 332-342
Author(s):  
Hyung Jun Park ◽  
Seong Hee Cho ◽  
Kyung-Hwan Jang ◽  
Jin-Woon Seol ◽  
Byung-Gi Kwon ◽  
...  

2018 ◽  
pp. 7-13
Author(s):  
Anton M. Mishchenko ◽  
Sergei S. Rachkovsky ◽  
Vladimir A. Smolin ◽  
Igor V . Yakimenko

Results of experimental studying radiation spatial structure of atmosphere background nonuniformities and of an unmanned aerial vehicle being the detection object are presented. The question on a possibility of its detection using optoelectronic systems against the background of a cloudy field in the near IR wavelength range is also considered.


Author(s):  
Amir Birjandi ◽  
◽  
Valentin Guerry ◽  
Eric Bibeau ◽  
Hamidreza Bolandhemmat ◽  
...  

2019 ◽  
Vol E102.B (10) ◽  
pp. 2014-2020
Author(s):  
Yancheng CHEN ◽  
Ning LI ◽  
Xijian ZHONG ◽  
Yan GUO

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