Automatic Detection and Monitoring of Insect Pests—A Review
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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-05-01
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| Series: | Agriculture |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-0472/10/5/161 |
| _version_ | 1797568387477405696 |
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| author | Matheus Cardim Ferreira Lima Maria Elisa Damascena de Almeida Leandro Constantino Valero Luis Carlos Pereira Coronel Clara Oliva Gonçalves Bazzo |
| author_facet | Matheus Cardim Ferreira Lima Maria Elisa Damascena de Almeida Leandro Constantino Valero Luis Carlos Pereira Coronel Clara Oliva Gonçalves Bazzo |
| author_sort | Matheus Cardim Ferreira Lima |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T19:56:14Z |
| format | Article |
| id | doaj.art-321791827f9640018e3a745b61597acc |
| institution | Directory Open Access Journal |
| issn | 2077-0472 |
| language | English |
| last_indexed | 2024-03-10T19:56:14Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj.art-321791827f9640018e3a745b61597acc2023-11-19T23:56:15ZengMDPI AGAgriculture2077-04722020-05-0110516110.3390/agriculture10050161Automatic Detection and Monitoring of Insect Pests—A ReviewMatheus Cardim Ferreira Lima0Maria Elisa Damascena de Almeida Leandro1Constantino Valero2Luis Carlos Pereira Coronel3Clara Oliva Gonçalves Bazzo4Department of Agroforest Ecosystems, Polytechnic University of Valencia, 46022 Valencia, SpainDepartment of Crop Protection, Faculty of Agricultural Sciences, University of Göttingen, 37077 Göttingen, GermanyDepartment of Agroforest Engineering, ETSI Agronómica, Alimentaria y de Biosistemas, Universidad Politécnica de Madrid, 28040 Madrid, SpainDepartment of Civil, Industrial and Environmental Engineering (DICIA), Faculty of Science and Technology, Catholic University of Asunción (UCA), Asunción, ParaguayAgriculture Department, City Hall of Parauapebas, Parauapebas 66515000, BrazilMany 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.https://www.mdpi.com/2077-0472/10/5/161automatic trapssensorsintegrated pest management |
| spellingShingle | Matheus Cardim Ferreira Lima Maria Elisa Damascena de Almeida Leandro Constantino Valero Luis Carlos Pereira Coronel Clara Oliva Gonçalves Bazzo Automatic Detection and Monitoring of Insect Pests—A Review Agriculture automatic traps sensors integrated pest management |
| title | Automatic Detection and Monitoring of Insect Pests—A Review |
| title_full | Automatic Detection and Monitoring of Insect Pests—A Review |
| title_fullStr | Automatic Detection and Monitoring of Insect Pests—A Review |
| title_full_unstemmed | Automatic Detection and Monitoring of Insect Pests—A Review |
| title_short | Automatic Detection and Monitoring of Insect Pests—A Review |
| title_sort | automatic detection and monitoring of insect pests a review |
| topic | automatic traps sensors integrated pest management |
| url | https://www.mdpi.com/2077-0472/10/5/161 |
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