Implementation of drone technology for farm monitoring & pesticide spraying: A review

IF 7.7 Q1 AGRICULTURE, MULTIDISCIPLINARY Information Processing in Agriculture Pub Date : 2023-06-01 DOI:10.1016/j.inpa.2022.02.002

Abdul Hafeez , Mohammed Aslam Husain , S.P. Singh , Anurag Chauhan , Mohd. Tauseef Khan , Navneet Kumar , Abhishek Chauhan , S.K. Soni

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引用次数: 65

Abstract

The world receives more than 200 thousand people in a day and it is expected that the total world population will reach 9.6 billion by the year 2050. This will result in extra food demand, which can only be met from enhanced crop yield. Therefore, modernization of the agricultural sector becomes the need of the hour. There are many constraints that are responsible for the low production of crops, which can be overcome by using drone technology in the agriculture sector. This paper presents an analysis of drone technologies and their modifications with time in the agriculture sector in the last decade. The application of drones in the area of crop monitoring, and pesticide spraying for Precision Agriculture (PA) has been covered. The work done related to drone structure, multiple sensor development, innovation in spot area spraying has been presented. Moreover, the use of Artificial Intelligent (AI) and deep learning for the remote monitoring of crops has been discussed.

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无人机技术在农田监测和农药喷洒中的应用综述

世界上每天接待20多万人，预计到2050年世界总人口将达到96亿。这将导致额外的粮食需求，而这只能通过提高作物产量来满足。因此，农业现代化成为当务之急。农作物产量低有许多制约因素，这些制约因素可以通过在农业领域使用无人机技术来克服。本文分析了无人机技术及其在过去十年中随时间在农业部门的变化。介绍了无人机在作物监测、精准农业农药喷洒等领域的应用。介绍了在无人机结构、多传感器研制、斑点区域喷涂技术创新等方面所做的工作。此外，还讨论了人工智能(AI)和深度学习在作物远程监测中的应用。

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来源期刊

Information Processing in Agriculture Agricultural and Biological Sciences-Animal Science and Zoology

CiteScore

21.10

自引率

0.00%

发文量

期刊介绍： Information Processing in Agriculture (IPA) was established in 2013 and it encourages the development towards a science and technology of information processing in agriculture, through the following aims: • Promote the use of knowledge and methods from the information processing technologies in the agriculture; • Illustrate the experiences and publications of the institutes, universities and government, and also the profitable technologies on agriculture; • Provide opportunities and platform for exchanging knowledge, strategies and experiences among the researchers in information processing worldwide; • Promote and encourage interactions among agriculture Scientists, Meteorologists, Biologists (Pathologists/Entomologists) with IT Professionals and other stakeholders to develop and implement methods, techniques, tools, and issues related to information processing technology in agriculture; • Create and promote expert groups for development of agro-meteorological databases, crop and livestock modelling and applications for development of crop performance based decision support system. Topics of interest include, but are not limited to: • Smart Sensor and Wireless Sensor Network • Remote Sensing • Simulation, Optimization, Modeling and Automatic Control • Decision Support Systems, Intelligent Systems and Artificial Intelligence • Computer Vision and Image Processing • Inspection and Traceability for Food Quality • Precision Agriculture and Intelligent Instrument • The Internet of Things and Cloud Computing • Big Data and Data Mining