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001-es BibID:BIBFORM114779
035-os BibID:(Cikkazonosító)1818 (WoS)001075360900001 (Scopus)85172162693
Első szerző:Sütő József (programtervező informatikus)
Cím:Hardware and Software Support for Insect Pest Management / Suto, Jozsef
Dátum:2023
ISSN:2077-0472
Tárgyszavak:Műszaki tudományok Informatikai tudományok hozzászólás
folyóiratcikk
Megjelenés:Agriculture-Basel. - 13 : 9 (2023), p. 1-2. -
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2.

001-es BibID:BIBFORM105076
035-os BibID:(WOS)000894348700001 (Scopus)85141844625 (Cikkazonosító)1897
Első szerző:Sütő József (programtervező informatikus)
Cím:A Novel Plug-in Board for Remote Insect Monitoring / Jozsef Suto
Dátum:2022
ISSN:2077-0472
Megjegyzések:The conventional approach to monitoring insect swarming is based on traps that are periodically checked by human operators. However, human checking of trap contents is expensive, and in many environments, the pest species most frequently encountered in the traps can be detected and monitored automatically. To achieve this goal, a dedicated data acquisition device is necessary, which makes real-time and online pest monitoring possible from a distant location. In addition, it is beneficial for the device to run machine learning algorithms that count and identify insects automatically from pictures. Thanks to the advantages of integrated circuits, more systems have been designed to improve integrated pest management in the context of precision agriculture. However, in our opinion, all of those systems have one or more disadvantages, such as high cost, low power autonomy, low picture quality, a WIFI coverage requirement, intensive human control, and poor software support. Therefore, the aim of this work is to present a novel plug-in board for automatic pest detection and counting. The plug-in board is dedicated to Raspberry Pi devices, especially the Raspberry Pi Zero. The proposed board, in combination with a Raspberry Pi device and a Pi camera, overcomes the limitations of other prototypes found in the literature. In this paper, a detailed description can be found about the schematic and characteristics of the board with a deep-learning-based insect-counting method.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
embedded system
insect counting
machine learning
precision agriculture
pest monitoring
Raspberry Pi
Megjelenés:Agriculture-Basel. - 12 : 11 (2022), p. 1-16. -
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DOI
Intézményi repozitóriumban (DEA) tárolt változat
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3.

001-es BibID:BIBFORM104250
035-os BibID:(Scopus)85141864759 (WOS)000875901100001
Első szerző:Sütő József (programtervező informatikus)
Cím:Codling Moth Monitoring with Camera-Equipped Automated Traps: A Review / Suto, Jozsef
Dátum:2022
ISSN:2077-0472
Megjegyzések:The codling moth (Cydia pomonella) is probably the most harmful pest in apple and pear orchards. The crop loss due to the high harmfulness of the insect can be extremely expensive; therefore, sophisticated pest management is necessary to protect the crop. The conventional monitoring approach for insect swarming has been based on traps that are periodically checked by human operators. However, this workflow can be automatized. To achieve this goal, a dedicated image capture device and an accurate insect counter algorithm are necessary which make online insect swarm prediction possible. From the hardware side, more camera-equipped embedded systems have been designed to remotely capture and upload pest trap images. From the software side, with the aid of machine vision and machine learning methods, traditional (manual) identification and counting can be solved by algorithm. With the appropriate combination of the hardware and software components, spraying can be accurately scheduled, and the crop-defending cost will be significantly reduced. Although automatic traps have been developed for more pest species and there are a large number of papers which investigate insect detection, a limited number of articles focus on the C. pomonella. The aim of this paper is to review the state of the art of C. pomonella monitoring with camera-equipped traps. The paper presents the advantages and disadvantages of automated traps` hardware and software components and examines their practical applicability.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
automated trap
insect monitoring
pest management
precision agriculture
remote sensing
Megjelenés:Agriculture-Basel. - 12 : 10 (2022), p. 1721-. -
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DOI
Intézményi repozitóriumban (DEA) tárolt változat
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