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Automatic Detection and Monitoring of Insect Pests—A Review

1
Department of Agroforest Ecosystems, Polytechnic University of Valencia, 46022 Valencia, Spain
2
Department of Crop Protection, Faculty of Agricultural Sciences, University of Göttingen, 37077 Göttingen, Germany
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Department of Agroforest Engineering, ETSI Agronómica, Alimentaria y de Biosistemas, Universidad Politécnica de Madrid, 28040 Madrid, Spain
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Department of Civil, Industrial and Environmental Engineering (DICIA), Faculty of Science and Technology, Catholic University of Asunción (UCA), Asunción, Paraguay
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Agriculture Department, City Hall of Parauapebas, Parauapebas 66515000, Brazil
*
Author to whom correspondence should be addressed.
Agriculture 2020, 10(5), 161; https://doi.org/10.3390/agriculture10050161
Received: 26 March 2020 / Revised: 16 April 2020 / Accepted: 18 April 2020 / Published: 9 May 2020
(This article belongs to the Special Issue Image Analysis Techniques in Agriculture)
Many species of insect pests can be detected and monitored automatically. Several systems have been designed in order to improve integrated pest management (IPM) in the context of precision agriculture. Automatic detection traps have been developed for many important pests. These techniques and new technologies are very promising for the early detection and monitoring of aggressive and quarantine pests. The aim of the present paper is to review the techniques and scientific state of the art of the use of sensors for automatic detection and monitoring of insect pests. The paper focuses on the methods for identification of pests based in infrared sensors, audio sensors and image-based classification, presenting the different systems available, examples of applications and recent developments, including machine learning and Internet of Things. Future trends of automatic traps and decision support systems are also discussed. View Full-Text
Keywords: automatic traps; sensors; integrated pest management automatic traps; sensors; integrated pest management
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MDPI and ACS Style

Cardim Ferreira Lima, M.; Damascena de Almeida Leandro, M.E.; Valero, C.; Pereira Coronel, L.C.; Gonçalves Bazzo, C.O. Automatic Detection and Monitoring of Insect Pests—A Review. Agriculture 2020, 10, 161.

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