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Monitoring and Detection of Insect Pests Using Smart Trap Technologies
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Author(s): Aqsa Aslam (Department of Zoology, Wildlife and Fisheries, Faculty of Sciences, University of Agriculture, Faisalabad, Pakistan), Muhammad Umar Ijaz (Department of Zoology, Wildlife and Fisheries, Faculty of Sciences, University of Agriculture, Faisalabad, Pakistan), Muhammad Talha Aslam (Key Laboratory of Crop Physiology, Ecology, and Genetic Breeding, Ministry of Education/College of Agronomy, Jiangxi Agricultural University, Nanchang, China), Muhammad Umer Chattha (Department of Agronomy, Faculty of Agriculture, University of Agriculture, Faisalabad, Pakistan), Imran Khan (Department of Agronomy, Faculty of Agriculture, University of Agriculture, Faisalabad, Pakistan), Muhammad Zeeshan Gulzar (Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei, China), Maham Mehmood (Department of Zoology, Wildlife and Fisheries, Faculty of Sciences, University of Agriculture, Faisalabad, Pakistan)and Faiza Ali (Department of Zoology, Wildlife and Fisheries, Faculty of Sciences, University of Agriculture, Faisalabad, Pakistan)
Copyright: 2024
Pages: 26
Source title:
Revolutionizing Pest Management for Sustainable Agriculture
Source Author(s)/Editor(s): Muhammad Zia Ul Haq (Department of Agronomy, University of Agriculture, Faisalabad, Pakistan)and Iftikhar Ali (Department of Agronomy, University of Agriculture, Faisalabad, Pakistan)
DOI: 10.4018/979-8-3693-3061-6.ch018
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Abstract
Despite all the strategies of integrated pest management (IPM), insecticides are still frequently used in its cultivation. The frequent spread of invasive species and unexpected pest outbreaks are serious problems posed by climate change that influence pest phenology. The latest reviews suggested that the current monitoring strategies of IPM need to be revised. Automated pest-monitoring systems are sophisticated, accurate, and efficient monitoring techniques. For this, several systems have been designed to improve IPM in precision agriculture. This comprises the latest methods and scientific state of the art of the use of sensors for automatic detection and monitoring of insect pests. Further, the advanced strategies for the identification of pests based on infrared detectors, audio sensors, and image-based classification, presenting the different systems available, their applications and recent developments, including machine learning and the Internet of Things are given with future trends of automatic traps and decision support systems.
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