Loading…
The e-funnel trap: Automatic monitoring of lepidoptera; a case study of tomato leaf miner
•The electronic funnel trap (e-funnel) wirelessly reports counts for all the Lepidoptera species with known pheromone.•There is no statistically significant difference between insect counts reported to the server and manually verified counts.•Manual counting of insects can be replaced by e-traps.•e-...
Saved in:
Published in: | Computers and electronics in agriculture 2021-06, Vol.185, p.106154, Article 106154 |
---|---|
Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c334t-859a79e04ecd36d794bfde15dd688f9a2d98f66d4d331c1a1824cae6ae860af93 |
---|---|
cites | cdi_FETCH-LOGICAL-c334t-859a79e04ecd36d794bfde15dd688f9a2d98f66d4d331c1a1824cae6ae860af93 |
container_end_page | |
container_issue | |
container_start_page | 106154 |
container_title | Computers and electronics in agriculture |
container_volume | 185 |
creator | Rigakis, Iraklis I. Varikou, Kiki N. Nikolakakis, Antonis E. Skarakis, Zacharias D. Tatlas, Nikolaos A. Potamitis, Ilyas G. |
description | •The electronic funnel trap (e-funnel) wirelessly reports counts for all the Lepidoptera species with known pheromone.•There is no statistically significant difference between insect counts reported to the server and manually verified counts.•Manual counting of insects can be replaced by e-traps.•e-funnels are reliable enough to shift decision making from weekly-based to daily-based.•The Technology Readiness Level is 9 (TRL-9).
We introduce the electronic funnel trap (e-funnel) of automatic monitoring for all the Lepidoptera species with known pheromone. The e-funnels carry an optical counter that counts captures of Lepidopterans and form their own network based on the LoRa radio protocol. The gateway of the network reports collection results of insect counts, GPS locations, time-stamps and temperature to a cloud server. We evaluated the trapping efficacy and specificity of typical funnel traps versus a network of their electronic versions using sex pheromone as lure to determine the population dynamics of Tuta absoluta (Gelechiidae). Results show that there is no statistically significant difference between insect counts reported to the server and manually verified counts. However, the e-funnel network recorded 84% of the captures of an identical network of typical plastic traps. |
doi_str_mv | 10.1016/j.compag.2021.106154 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2536820245</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0168169921001721</els_id><sourcerecordid>2536820245</sourcerecordid><originalsourceid>FETCH-LOGICAL-c334t-859a79e04ecd36d794bfde15dd688f9a2d98f66d4d331c1a1824cae6ae860af93</originalsourceid><addsrcrecordid>eNp9kE1LAzEQhoMoWKv_wEPA89ZkP7KJglDELyh4qQdPISaTmtLdrElW6L83dT17Gmbmfd9hHoQuKVlQQtn1dqF9N6jNoiQlzSNGm_oIzShvy6KlpD1GsyzjBWVCnKKzGLck94K3M_S-_gQMhR37HnY4BTXc4OWYfKeS07jzvUs-uH6DvcU7GJzxQ4KgbrHCWkXAMY1mf1j-WnzWKIs710M4RydW7SJc_NU5ent8WN8_F6vXp5f75arQVVWngjdCtQJIDdpUzLSi_rAGaGMM49wKVRrBLWOmNlVFNVWUl7VWwBRwRpQV1RxdTblD8F8jxCS3fgx9PinLpmI8M6mbrKonlQ4-xgBWDsF1KuwlJfIAUW7lBFEeIMoJYrbdTTbIH3w7CDJqB70G4wLoJI13_wf8AOppfLg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2536820245</pqid></control><display><type>article</type><title>The e-funnel trap: Automatic monitoring of lepidoptera; a case study of tomato leaf miner</title><source>ScienceDirect Journals</source><creator>Rigakis, Iraklis I. ; Varikou, Kiki N. ; Nikolakakis, Antonis E. ; Skarakis, Zacharias D. ; Tatlas, Nikolaos A. ; Potamitis, Ilyas G.</creator><creatorcontrib>Rigakis, Iraklis I. ; Varikou, Kiki N. ; Nikolakakis, Antonis E. ; Skarakis, Zacharias D. ; Tatlas, Nikolaos A. ; Potamitis, Ilyas G.</creatorcontrib><description>•The electronic funnel trap (e-funnel) wirelessly reports counts for all the Lepidoptera species with known pheromone.•There is no statistically significant difference between insect counts reported to the server and manually verified counts.•Manual counting of insects can be replaced by e-traps.•e-funnels are reliable enough to shift decision making from weekly-based to daily-based.•The Technology Readiness Level is 9 (TRL-9).
We introduce the electronic funnel trap (e-funnel) of automatic monitoring for all the Lepidoptera species with known pheromone. The e-funnels carry an optical counter that counts captures of Lepidopterans and form their own network based on the LoRa radio protocol. The gateway of the network reports collection results of insect counts, GPS locations, time-stamps and temperature to a cloud server. We evaluated the trapping efficacy and specificity of typical funnel traps versus a network of their electronic versions using sex pheromone as lure to determine the population dynamics of Tuta absoluta (Gelechiidae). Results show that there is no statistically significant difference between insect counts reported to the server and manually verified counts. However, the e-funnel network recorded 84% of the captures of an identical network of typical plastic traps.</description><identifier>ISSN: 0168-1699</identifier><identifier>EISSN: 1872-7107</identifier><identifier>DOI: 10.1016/j.compag.2021.106154</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Computer networks ; Electronic insect trap ; Funnel trap ; Funnels ; Gateways ; Insects ; Lepidoptera ; Monitoring ; Precision agriculture ; Servers</subject><ispartof>Computers and electronics in agriculture, 2021-06, Vol.185, p.106154, Article 106154</ispartof><rights>2021 Elsevier B.V.</rights><rights>Copyright Elsevier BV Jun 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c334t-859a79e04ecd36d794bfde15dd688f9a2d98f66d4d331c1a1824cae6ae860af93</citedby><cites>FETCH-LOGICAL-c334t-859a79e04ecd36d794bfde15dd688f9a2d98f66d4d331c1a1824cae6ae860af93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Rigakis, Iraklis I.</creatorcontrib><creatorcontrib>Varikou, Kiki N.</creatorcontrib><creatorcontrib>Nikolakakis, Antonis E.</creatorcontrib><creatorcontrib>Skarakis, Zacharias D.</creatorcontrib><creatorcontrib>Tatlas, Nikolaos A.</creatorcontrib><creatorcontrib>Potamitis, Ilyas G.</creatorcontrib><title>The e-funnel trap: Automatic monitoring of lepidoptera; a case study of tomato leaf miner</title><title>Computers and electronics in agriculture</title><description>•The electronic funnel trap (e-funnel) wirelessly reports counts for all the Lepidoptera species with known pheromone.•There is no statistically significant difference between insect counts reported to the server and manually verified counts.•Manual counting of insects can be replaced by e-traps.•e-funnels are reliable enough to shift decision making from weekly-based to daily-based.•The Technology Readiness Level is 9 (TRL-9).
We introduce the electronic funnel trap (e-funnel) of automatic monitoring for all the Lepidoptera species with known pheromone. The e-funnels carry an optical counter that counts captures of Lepidopterans and form their own network based on the LoRa radio protocol. The gateway of the network reports collection results of insect counts, GPS locations, time-stamps and temperature to a cloud server. We evaluated the trapping efficacy and specificity of typical funnel traps versus a network of their electronic versions using sex pheromone as lure to determine the population dynamics of Tuta absoluta (Gelechiidae). Results show that there is no statistically significant difference between insect counts reported to the server and manually verified counts. However, the e-funnel network recorded 84% of the captures of an identical network of typical plastic traps.</description><subject>Computer networks</subject><subject>Electronic insect trap</subject><subject>Funnel trap</subject><subject>Funnels</subject><subject>Gateways</subject><subject>Insects</subject><subject>Lepidoptera</subject><subject>Monitoring</subject><subject>Precision agriculture</subject><subject>Servers</subject><issn>0168-1699</issn><issn>1872-7107</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LAzEQhoMoWKv_wEPA89ZkP7KJglDELyh4qQdPISaTmtLdrElW6L83dT17Gmbmfd9hHoQuKVlQQtn1dqF9N6jNoiQlzSNGm_oIzShvy6KlpD1GsyzjBWVCnKKzGLck94K3M_S-_gQMhR37HnY4BTXc4OWYfKeS07jzvUs-uH6DvcU7GJzxQ4KgbrHCWkXAMY1mf1j-WnzWKIs710M4RydW7SJc_NU5ent8WN8_F6vXp5f75arQVVWngjdCtQJIDdpUzLSi_rAGaGMM49wKVRrBLWOmNlVFNVWUl7VWwBRwRpQV1RxdTblD8F8jxCS3fgx9PinLpmI8M6mbrKonlQ4-xgBWDsF1KuwlJfIAUW7lBFEeIMoJYrbdTTbIH3w7CDJqB70G4wLoJI13_wf8AOppfLg</recordid><startdate>202106</startdate><enddate>202106</enddate><creator>Rigakis, Iraklis I.</creator><creator>Varikou, Kiki N.</creator><creator>Nikolakakis, Antonis E.</creator><creator>Skarakis, Zacharias D.</creator><creator>Tatlas, Nikolaos A.</creator><creator>Potamitis, Ilyas G.</creator><general>Elsevier B.V</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>202106</creationdate><title>The e-funnel trap: Automatic monitoring of lepidoptera; a case study of tomato leaf miner</title><author>Rigakis, Iraklis I. ; Varikou, Kiki N. ; Nikolakakis, Antonis E. ; Skarakis, Zacharias D. ; Tatlas, Nikolaos A. ; Potamitis, Ilyas G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c334t-859a79e04ecd36d794bfde15dd688f9a2d98f66d4d331c1a1824cae6ae860af93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Computer networks</topic><topic>Electronic insect trap</topic><topic>Funnel trap</topic><topic>Funnels</topic><topic>Gateways</topic><topic>Insects</topic><topic>Lepidoptera</topic><topic>Monitoring</topic><topic>Precision agriculture</topic><topic>Servers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rigakis, Iraklis I.</creatorcontrib><creatorcontrib>Varikou, Kiki N.</creatorcontrib><creatorcontrib>Nikolakakis, Antonis E.</creatorcontrib><creatorcontrib>Skarakis, Zacharias D.</creatorcontrib><creatorcontrib>Tatlas, Nikolaos A.</creatorcontrib><creatorcontrib>Potamitis, Ilyas G.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Computers and electronics in agriculture</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rigakis, Iraklis I.</au><au>Varikou, Kiki N.</au><au>Nikolakakis, Antonis E.</au><au>Skarakis, Zacharias D.</au><au>Tatlas, Nikolaos A.</au><au>Potamitis, Ilyas G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The e-funnel trap: Automatic monitoring of lepidoptera; a case study of tomato leaf miner</atitle><jtitle>Computers and electronics in agriculture</jtitle><date>2021-06</date><risdate>2021</risdate><volume>185</volume><spage>106154</spage><pages>106154-</pages><artnum>106154</artnum><issn>0168-1699</issn><eissn>1872-7107</eissn><abstract>•The electronic funnel trap (e-funnel) wirelessly reports counts for all the Lepidoptera species with known pheromone.•There is no statistically significant difference between insect counts reported to the server and manually verified counts.•Manual counting of insects can be replaced by e-traps.•e-funnels are reliable enough to shift decision making from weekly-based to daily-based.•The Technology Readiness Level is 9 (TRL-9).
We introduce the electronic funnel trap (e-funnel) of automatic monitoring for all the Lepidoptera species with known pheromone. The e-funnels carry an optical counter that counts captures of Lepidopterans and form their own network based on the LoRa radio protocol. The gateway of the network reports collection results of insect counts, GPS locations, time-stamps and temperature to a cloud server. We evaluated the trapping efficacy and specificity of typical funnel traps versus a network of their electronic versions using sex pheromone as lure to determine the population dynamics of Tuta absoluta (Gelechiidae). Results show that there is no statistically significant difference between insect counts reported to the server and manually verified counts. However, the e-funnel network recorded 84% of the captures of an identical network of typical plastic traps.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.compag.2021.106154</doi></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0168-1699 |
ispartof | Computers and electronics in agriculture, 2021-06, Vol.185, p.106154, Article 106154 |
issn | 0168-1699 1872-7107 |
language | eng |
recordid | cdi_proquest_journals_2536820245 |
source | ScienceDirect Journals |
subjects | Computer networks Electronic insect trap Funnel trap Funnels Gateways Insects Lepidoptera Monitoring Precision agriculture Servers |
title | The e-funnel trap: Automatic monitoring of lepidoptera; a case study of tomato leaf miner |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T18%3A44%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20e-funnel%20trap:%20Automatic%20monitoring%20of%20lepidoptera;%20a%20case%20study%20of%20tomato%20leaf%20miner&rft.jtitle=Computers%20and%20electronics%20in%20agriculture&rft.au=Rigakis,%20Iraklis%20I.&rft.date=2021-06&rft.volume=185&rft.spage=106154&rft.pages=106154-&rft.artnum=106154&rft.issn=0168-1699&rft.eissn=1872-7107&rft_id=info:doi/10.1016/j.compag.2021.106154&rft_dat=%3Cproquest_cross%3E2536820245%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c334t-859a79e04ecd36d794bfde15dd688f9a2d98f66d4d331c1a1824cae6ae860af93%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2536820245&rft_id=info:pmid/&rfr_iscdi=true |