Monitoring Pest Insect Traps by Means of Low-Power Image Sensor Technologies
Monitoring pest insect populations is currently a key issue in agriculture and forestry protection. At the farm level, human operators typically must perform periodical surveys of the traps disseminated through the field. This is a labor-, time- and cost-consuming activity, in particular for large p...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2012-11-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/12/11/15801 |
| _version_ | 1811300563148603392 |
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| author | Juan J. Serrano Alberto Bonastre Manuel P. Malumbres Hector Migallon Otoniel López Miguel Martinez Rach |
| author_facet | Juan J. Serrano Alberto Bonastre Manuel P. Malumbres Hector Migallon Otoniel López Miguel Martinez Rach |
| author_sort | Juan J. Serrano |
| collection | DOAJ |
| description | Monitoring pest insect populations is currently a key issue in agriculture and forestry protection. At the farm level, human operators typically must perform periodical surveys of the traps disseminated through the field. This is a labor-, time- and cost-consuming activity, in particular for large plantations or large forestry areas, so it would be of great advantage to have an affordable system capable of doing this task automatically in an accurate and a more efficient way. This paper proposes an autonomous monitoring system based on a low-cost image sensor that it is able to capture and send images of the trap contents to a remote control station with the periodicity demanded by the trapping application. Our autonomous monitoring system will be able to cover large areas with very low energy consumption. This issue would be the main key point in our study; since the operational live of the overall monitoring system should be extended to months of continuous operation without any kind of maintenance (i.e., battery replacement). The images delivered by image sensors would be time-stamped and processed in the control station to get the number of individuals found at each trap. All the information would be conveniently stored at the control station, and accessible via Internet by means of available network services at control station (WiFi, WiMax, 3G/4G, etc.). |
| first_indexed | 2024-04-13T06:54:00Z |
| format | Article |
| id | doaj.art-68c8a37d0e8e440c9488fa263b829ee6 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T06:54:00Z |
| publishDate | 2012-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-68c8a37d0e8e440c9488fa263b829ee62022-12-22T02:57:19ZengMDPI AGSensors1424-82202012-11-011211158011581910.3390/s121115801Monitoring Pest Insect Traps by Means of Low-Power Image Sensor TechnologiesJuan J. SerranoAlberto BonastreManuel P. MalumbresHector MigallonOtoniel LópezMiguel Martinez RachMonitoring pest insect populations is currently a key issue in agriculture and forestry protection. At the farm level, human operators typically must perform periodical surveys of the traps disseminated through the field. This is a labor-, time- and cost-consuming activity, in particular for large plantations or large forestry areas, so it would be of great advantage to have an affordable system capable of doing this task automatically in an accurate and a more efficient way. This paper proposes an autonomous monitoring system based on a low-cost image sensor that it is able to capture and send images of the trap contents to a remote control station with the periodicity demanded by the trapping application. Our autonomous monitoring system will be able to cover large areas with very low energy consumption. This issue would be the main key point in our study; since the operational live of the overall monitoring system should be extended to months of continuous operation without any kind of maintenance (i.e., battery replacement). The images delivered by image sensors would be time-stamped and processed in the control station to get the number of individuals found at each trap. All the information would be conveniently stored at the control station, and accessible via Internet by means of available network services at control station (WiFi, WiMax, 3G/4G, etc.).http://www.mdpi.com/1424-8220/12/11/15801pest detectiontrap monitoringimage processingimage sensorslow power devices |
| spellingShingle | Juan J. Serrano Alberto Bonastre Manuel P. Malumbres Hector Migallon Otoniel López Miguel Martinez Rach Monitoring Pest Insect Traps by Means of Low-Power Image Sensor Technologies Sensors pest detection trap monitoring image processing image sensors low power devices |
| title | Monitoring Pest Insect Traps by Means of Low-Power Image Sensor Technologies |
| title_full | Monitoring Pest Insect Traps by Means of Low-Power Image Sensor Technologies |
| title_fullStr | Monitoring Pest Insect Traps by Means of Low-Power Image Sensor Technologies |
| title_full_unstemmed | Monitoring Pest Insect Traps by Means of Low-Power Image Sensor Technologies |
| title_short | Monitoring Pest Insect Traps by Means of Low-Power Image Sensor Technologies |
| title_sort | monitoring pest insect traps by means of low power image sensor technologies |
| topic | pest detection trap monitoring image processing image sensors low power devices |
| url | http://www.mdpi.com/1424-8220/12/11/15801 |
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