Dispositivo de captura y envio de imagenes a un servidor remoto para monitorizar trampas para insectos en el campo

Blasco, J.M.; Alegre, Vicente; Fereres, Alberto; Cubero, Sergio; López, Santiago; Chueca, Patricia; Sanjuán, S.

doi:10.26754/c_agroing.2019.com.3469

Cited by 2 publications

(1 citation statement)

References 4 publications

(4 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Applying texture and shape analysis, Ghods and Shojaeddini [22] created an algorithm that could identify whiteflies in plant leaves with 85% accuracy. Blasco et al [23] developed a prototype to monitor insect traps placed in the field by capturing and sending images of the trapped insects to a remote server. The device was created on the basis of a Raspberry Pi platform and incorporates a camera to capture the images, a control board to program the image capture intervals and a modem to send the images and additional information to a remote media server.…”

Section: Automatic Monitoring Of Sucking Insectsmentioning

confidence: 99%

Automatic Detection and Monitoring of Insect Pests—A Review

et al. 2020

View full text Add to dashboard Cite

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.

show abstract

Section: Automatic Monitoring Of Sucking Insectsmentioning

confidence: 99%

Automatic Detection and Monitoring of Insect Pests—A Review

et al. 2020

View full text Add to dashboard Cite

show abstract

Monitoring and Detection of Insect Pests Using Smart Trap Technologies

Aslam,

Ijaz,

Aslam

et al. 2024

Advances in Environmental Engineering and Green Technologies

View full text Add to dashboard Cite

Despite all the strategies of integrated pest management (IPM), insecticides are still frequently used in its cultivation. The frequent spread of invasive species and unexpected pest outbreaks are serious problems posed by climate change that influence pest phenology. The latest reviews suggested that the current monitoring strategies of IPM need to be revised. Automated pest-monitoring systems are sophisticated, accurate, and efficient monitoring techniques. For this, several systems have been designed to improve IPM in precision agriculture. This comprises the latest methods and scientific state of the art of the use of sensors for automatic detection and monitoring of insect pests. Further, the advanced strategies for the identification of pests based on infrared detectors, audio sensors, and image-based classification, presenting the different systems available, their applications and recent developments, including machine learning and the Internet of Things are given with future trends of automatic traps and decision support systems.

show abstract

Dispositivo de captura y envio de imagenes a un servidor remoto para monitorizar trampas para insectos en el campo

Cited by 2 publications

References 4 publications

Automatic Detection and Monitoring of Insect Pests—A Review

Automatic Detection and Monitoring of Insect Pests—A Review

Monitoring and Detection of Insect Pests Using Smart Trap Technologies

Contact Info

Product

Resources

About