Automatic Detection and Monitoring of Insect Pests—A Review

Matheus Cardim Ferreira Lima, Maria Elisa Damascena de Almeida Leandro, Constantino Valero, Luis Carlos Pereira Coronel and Clara Oliva Gonçalves Bazzo
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Matheus Cardim Ferreira Lima: Department of Agroforest Ecosystems, Polytechnic University of Valencia, 46022 Valencia, Spain
Maria Elisa Damascena de Almeida Leandro: Department of Crop Protection, Faculty of Agricultural Sciences, University of Göttingen, 37077 Göttingen, Germany
Constantino Valero: Department of Agroforest Engineering, ETSI Agronómica, Alimentaria y de Biosistemas, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Luis Carlos Pereira Coronel: Department of Civil, Industrial and Environmental Engineering (DICIA), Faculty of Science and Technology, Catholic University of Asunción (UCA), Asunción, Paraguay
Clara Oliva Gonçalves Bazzo: Agriculture Department, City Hall of Parauapebas, Parauapebas 66515000, Brazil

Agriculture, 2020, vol. 10, issue 5, 1-24

Abstract: 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.

Keywords: automatic traps; sensors; integrated pest management (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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