Automatic Record Using Camera of Diel Periodicity of Pheromone Trap Catches.

Kondo, Akira; Sano, Toshihiro; Tanaka, Fukusaburo

doi:10.1303/jjaez.38.197

Cited by 8 publications

(5 citation statements)

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“…A significant advance was made with the remote transmission of the recorded data to a computer, as in the case of the automatic detection of the boll weevil Anthonomus grandis Boheman (Coleoptera: Curculionidae) (Hendricks 1990). One of the first applications of cameras for insect pest monitoring was reported by Kondo et al (1994) to monitor the Asiatic rice borer Chilo suppressalis Walker (Lepidoptera: Crambidae) and the tobacco cutworm Spodoptera litura Fabricius (Lepidoptera: Noctuidae). During the last 25 years, thanks to the significant technological progress and in parallel to the development of camera traps for wildlife monitoring (Rovero et al 2013), camera devices have been increasingly exploited for insect pest monitoring.…”

Section: Monitoring Insect Pests With New Technologiesmentioning

confidence: 99%

Insect pest monitoring with camera-equipped traps: strengths and limitations

2020

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Integrated pest management relies on insect pest monitoring to support the decision of counteracting a given level of infestation and to select the adequate control method. The classic monitoring approach of insect pests is based on placing in single infested areas a series of traps that are checked by human operators on a temporal basis. This strategy requires high labor cost and provides poor spatial and temporal resolution achievable by single operators. The adoption of image sensors to monitor insect pests can result in several practical advantages. The purpose of this review is to summarize the progress made on automatic traps with a particular focus on camera-equipped traps. The use of software and image recognition algorithms can support automatic trap usage to identify and/or count insect species from pictures. Considering the high image resolution achievable and the opportunity to exploit data transfer systems through wireless technology, it is possible to have remote control of insect captures, limiting field visits. The availability of real-time and on-line pest monitoring systems from a distant location opens the opportunity for measuring insect population dynamics constantly and simultaneously in a large number of traps with a limited human labor requirement. The actual limitations are the high cost, the low power autonomy and the low picture quality of some prototypes together with the need for further improvements in fully automated pest detection. Limits and benefits resulting from several case studies are examined with a perspective for the future development of technology-driven insect pest monitoring and management.

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Section: Monitoring Insect Pests With New Technologiesmentioning

confidence: 99%

Insect pest monitoring with camera-equipped traps: strengths and limitations

2020

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“…Recently, the potential using of cameras for monitoring insect pest have intensified and several camera-based pheromone traps have been designed and used to monitor insect pest. One of the first users of camera on insect trap is Kondo et al (1994). They designed an automatic device with a camera to record the changes in pheromone trap catches.…”

Section: Population Development Of Lobesia Botrana In Hadim and Taşkentmentioning

confidence: 99%

Remote Monitoring of European Grapevine Moth, Lobesia botrana (Lepidoptera: Tortricidae) Population Using Camera-Based Pheromone Traps in Vineyards

Ünlü

Akdemïr

Öğür

et al. 2019

Turkish JAF Sci.Tech.

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This study presents a new sex pheromone trap for European Grapevine Moth, Lobesia botrana, to monitor its field population without direct field observations in Turkey. The study was conducted in Hadim and Taşkent (Konya) districts in 2016. Viticulture has been carried out for many years in both districts where the maximum vineyards are located. Due to the distance to the center and the difficulty of transportation to these districts, there has not been conducted any detailed studies until today. Therefore, this study about L. botrana, which is harmful in these vineyards, was planned. In order to monitor the pest population, the cameras were placed onto the pheromone traps, and it was tried to get information about the population development of the pest via internet without going to the vineyards. For this purpose, four locations in Hadim and one location in Taşkent district were selected and one pheromone trap was established in each location before the bud burst in vineyards. The camera was placed on each pheromone trap and was linked with vMEyeIPC program via internet. The time of first adult flight and the population development of adult L. botrana were determined. The first adult flight began at the beginning (7/4/2016) and in the middle of April (15/4/2016) in Hadim and Taşkent, respectively. The number of offspring and the maximum number of pest individuals caught in traps were recorded in vineyards in both districts.

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“…Appearance and the phenotypic traits are easily monitored by image data [17][18][19], so it is important for a sensor network to have the function of high-resolution image capture and high-speed data transmission to perform image monitoring. Image data are also effective to detect plant damage by disease and pests at an early date [20][21][22]. For detection and reaction, the function of real-time monitoring and remote control of peripheral equipment to protect plants immediately is also required of a sensor network.…”

Section: Crop and Growth Conditionmentioning

confidence: 99%

Web-based sensor network system "Field Servers" for practical agricultural applications

Fukatsu

Hirafuji

2014

Proceedings of the 2014 International Workshop on Web Intelligence and Smart Sensing

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In previous works, we have proposed a Web-based sensor network system or "Field Server" for agricultural use that has a monitoring module with a Web server, a wireless communication module to the Internet, and a camera module for image monitoring. In this paper, we have focused on providing effective, individualized and practical monitoring to provide the information farmers need, and developed an Open Field Server that enables easy and flexible monitoring of various types of agricultural fields and contexts. Then, we deployed the Open Field Server in five different practical agricultural applications: weather monitoring for growth prediction, insect counting for pest damage forecasting, crop growth monitoring with image data, wild animal surveillance, and farm operation recognition. Through these monitoring experiments, we demonstrated the potential and effectiveness of the system in a wide variety of practical agricultural applications while our experience has pointed to areas in which the system could be further refined to achieve advanced monitoring in a wide variety of situations.

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Automatic Record Using Camera of Diel Periodicity of Pheromone Trap Catches.

Cited by 8 publications

References 0 publications

Insect pest monitoring with camera-equipped traps: strengths and limitations

Insect pest monitoring with camera-equipped traps: strengths and limitations

Remote Monitoring of European Grapevine Moth, Lobesia botrana (Lepidoptera: Tortricidae) Population Using Camera-Based Pheromone Traps in Vineyards

Web-based sensor network system "Field Servers" for practical agricultural applications

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