Unmanned Aerial Vehicles (UAV) in Precision Agriculture: Applications and Challenges

被引:119
作者
Velusamy, Parthasarathy [1 ]
Rajendran, Santhosh [1 ]
Mahendran, Rakesh Kumar [2 ]
Naseer, Salman [3 ]
Shafiq, Muhammad [4 ]
Choi, Jin-Ghoo [4 ]
机构
[1] Karpagam Acad Higher Educ, Dept Comp Sci & Engn, Coimbatore 641021, Tamil Nadu, India
[2] Vel Tech Multitech Dr Rangarajan Dr Sakuthala Eng, Dept Elect & Commun Engn, Chennai 600062, Tamil Nadu, India
[3] Univ Punjab, Dept Informat Technol, Gujranwala Campus, Gujranwala 52250, Pakistan
[4] Yeungnam Univ, Dept Informat & Commun Engn, Gyongsan 38541, South Korea
基金
新加坡国家研究基金会;
关键词
UAV; crop monitoring; pest management; remote sensing; SPIDER-MITE DAMAGE; MULTISPECTRAL IMAGERY; INFESTED COTTON; STRESS; TECHNOLOGIES; SPECTROSCOPY; INFESTATIONS; PHOTOGRAPHY; APHIDIDAE; ARMYWORM;
D O I
10.3390/en15010217
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Agriculture is the primary source of income in developing countries like India. Agriculture accounts for 17 percent of India's total GDP, with almost 60 percent of the people directly or indirectly employed. While researchers and planters focus on a variety of elements to boost productivity, crop loss due to disease is one of the most serious issues they confront. Crop growth monitoring and early detection of pest infestations are still a problem. With the expansion of cultivation to wider fields, manual intervention to monitor and diagnose insect and pest infestations is becoming increasingly difficult. Failure to apply on time fertilizers and pesticides results in more crop loss and so lower output. Farmers are putting in greater effort to conserve crops, but they are failing most of the time because they are unable to adequately monitor the crops when they are infected by pests and insects. Pest infestation is also difficult to predict because it is not evenly distributed. In the recent past, modern equipment, tools, and approaches have been used to replace manual involvement. Unmanned aerial vehicles serve a critical role in crop disease surveillance and early detection in this setting. This research attempts to give a review of the most successful techniques to have precision-based crop monitoring and pest management in agriculture fields utilizing unmanned aerial vehicles (UAVs) or unmanned aircraft. The researchers' reports on the various types of UAVs and their applications to early detection of agricultural diseases are rigorously assessed and compared. This paper also discusses the deployment of aerial, satellite, and other remote sensing technologies for disease detection, as well as their Quality of Service (QoS).
引用
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页数:19
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