Automatic monitoring of pest insects traps by Zigbee-based wireless networking of image sensors

Tirelli, Paolo; Borghese, N. Alberto; Pedersini, F.; Galassi, Giulia; Oberti, R.

doi:10.1109/imtc.2011.5944204

Cited by 47 publications

(25 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Recently published promising approaches to counting insects include the use of motion sensors (Liao et al 2012), cameras (Guarnieri et al 2011, Tirelli et al 2011, Fukatsu et al 2012, Ló pez et al 2012, and sound recognition (Blumstein et al 2011, Mankin et al 2011.…”

mentioning

confidence: 99%

“…Affordable systems that could deploy multiple sensors would also permit assessment of variations in insect population activity on a large spatial scale in both short-term studies (e.g., daily movement patterns) and long-term monitoring (e.g., precisely recording small phenological shifts in response to climate variations). Monitoring traps with wireless technology (either Wi-Fi intranet or cell phone signal) potentially reduces the need for travel by permitting trap data, status, setting, and data-processing to be monitored in real time from a distant location (Tirelli et al 2011, Ló pez et al 2012. If wireless infrastructure is either not available or is an unnecessary expense, recording data locally will still provide intensive sampling options at remote locations.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Precise and Low-Cost Monitoring of Plum Curculio (Coleoptera: Curculionidae) Pest Activity in Pyramid Traps With Cameras

Selby¹,

Gage²,

Whalon³

2014

Environ Entomol

View full text Add to dashboard Cite

Incorporating camera systems into insect traps potentially benefits insect phenology modeling, nonlethal insect monitoring, and research into the automated identification of traps counts. Cameras originally for monitoring mammals were instead adapted to monitor the entrance to pyramid traps designed to capture the plum curculio, Conotrachelus nenuphar (Herbst) (Coleoptera: Curculionidae). Using released curculios, two new trap designs (v.I and v.II) were field-tested alongside conventional pyramid traps at one site in autumn 2010 and at four sites in autumn 2012. The traps were evaluated on the basis of battery power, ease-of-maintenance, adaptability, required-user-skills, cost (including labor), and accuracy-of-results. The v.II design fully surpassed expectations, except that some trapped curculios were not photographed. In 2012, 13 of the 24 traps recorded every curculio entering the traps during the 18-d study period, and in traps where some curculios were not photographed, over 90% of the omissions could be explained by component failure or external interference with the motion sensor. Significantly more curculios entered the camera traps between 1800 and 0000 hours. When compared with conventional pyramid traps, the v.I traps collected a similar number of curculios. Two observed but not significant trends were that the v.I traps collected twice as many plum curculios as the v.II traps, while at the same time the v.II traps collected more than twice as many photos per plum curculio as the v.I traps. The research demonstrates that low-cost, precise monitoring of field insect populations is feasible without requiring extensive technical expertise.

show abstract

mentioning

confidence: 99%

mentioning

confidence: 99%

Precise and Low-Cost Monitoring of Plum Curculio (Coleoptera: Curculionidae) Pest Activity in Pyramid Traps With Cameras

Selby¹,

Gage²,

Whalon³

2014

Environ Entomol

View full text Add to dashboard Cite

show abstract

“…Finally the cost of a ZigBee chip is low, again depending on configuration from $1 to $3. Consequently many researchers used ZigBee as their communication infrastructure and reported successful operation of the network [13,28,29,37,38,40,44,47,48,49,50,51]. The communication range reported varies from 5m to approx.…”

Section: In Greenhouse Radio Communicationmentioning

confidence: 99%

The Landscape of Wireless Sensing in Greenhouse Monitoring and Control

Berezowski¹

2012

IJWMN

View full text Add to dashboard Cite

show abstract

“…Jingxiao [9] transmitted the image of the pest to the PC side for HSV color model segmentation and then the pest is identified by BP neural network. Vincent et al [10] proposed a target detector that uses the analytical decision support system to make the detector adapt to changes in the plant to identify aphids on the plant; Tirelli et al studied the remote monitoring system to prevent pest outbreaks and trigger an alarm when the number of pests is too high [11]; Ukatsu achieved the remote counting function of rice margin bugs through using the wireless network technology.…”

Section: Introductionmentioning

confidence: 99%

Aphid Identification and Counting Based on Smartphone and Machine Vision

et al. 2017

View full text Add to dashboard Cite

Exact enumeration of aphids before the aphids outbreak can provide basis for precision spray. This paper designs counting software that can be run on smartphones for real-time enumeration of aphids. As a first step of the method used in this paper, images of the yellow sticky board that is aiming to catch insects are segmented from complex background by using GrabCut method; then the images will be normalized by perspective transformation method. The second step is the pretreatment on the images; images of aphids will be segmented by using OSTU threshold method after the effect of random illumination is eliminated by single image difference method. The last step of the method is aphids' recognition and counting according to area feature of aphids after extracting contours of aphids by contour detection method. At last, the result of the experiment proves that the effect of random illumination can be effectively eliminated by using single image difference method. The counting accuracy in greenhouse is above 95%, while it can reach 92.5% outside. Thus, it can be seen that the counting software designed in this paper can realize exact enumeration of aphids under complicated illumination which can be used widely. The design method proposed in this paper can provide basis for precision spray according to its effective detection insects.

show abstract

Automatic monitoring of pest insects traps by Zigbee-based wireless networking of image sensors

Cited by 47 publications

References 1 publication

Precise and Low-Cost Monitoring of Plum Curculio (Coleoptera: Curculionidae) Pest Activity in Pyramid Traps With Cameras

Precise and Low-Cost Monitoring of Plum Curculio (Coleoptera: Curculionidae) Pest Activity in Pyramid Traps With Cameras

The Landscape of Wireless Sensing in Greenhouse Monitoring and Control

Aphid Identification and Counting Based on Smartphone and Machine Vision

Contact Info

Product

Resources

About