{"title":"Detection of Spodoptera litura F. using an electronic nose: A novel approach for monitoring vegetable crop pests","authors":"Atirach Noosidum , Rattanawadee Onwong , Jarunee Phittayanivit , Chatchaloem Arkhan , Pisit Poolprasert , Benjakhun Sangtongpraow , Chatchawal Wongchoosuk","doi":"10.1016/j.compag.2025.110984","DOIUrl":null,"url":null,"abstract":"<div><div>The common cutworm, <em>Spodoptera litura</em>, is an economically important insect pest worldwide. However, outbreaks and control failures are frequently reported, with infestations often detected by farmers only after severe damage has occurred. This study aimed to apply an electronic nose (e-nose) based on eight metal oxide semiconductor (MOS) gas sensors to detect insect odors emitted from different stages of <em>S. litura</em> and volatile organic compounds (VOCs) released from their infested host plants. In laboratory tests, a prototype e-nose equipped with eight TGS sensors successfully detected various insect odors from different developmental stages and numbers of individuals (0.31–41.04 %). Older larvae and higher numbers of insects induced higher sensor responses. The e-nose also distinguished between two closely related species, <em>S. litura</em> and <em>S. exigua</em>. Additionally, plant VOCs released from pak choi (<em>Brassica rapa</em>) leaves with more than 5 % damage caused by <em>S. litura</em> larvae were more readily detected by the e-nose compared to leaves cut with scissors or undamaged plants. The e-nose also detected insect odors from <em>S. litura</em> larvae and plant VOCs from infested plants at distances of up to 40 cm. In greenhouse tests, the e-nose began detecting differences in insect odors and plant VOCs measurements between <em>S. litura</em>-infested and healthy plants when neonate larvae invaded plant leaves. This study demonstrates the potential of the e-nose equipped with eight TGS sensors as a detection tool for <em>S. litura</em> infestations in crop production.</div></div>","PeriodicalId":50627,"journal":{"name":"Computers and Electronics in Agriculture","volume":"239 ","pages":"Article 110984"},"PeriodicalIF":8.9000,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Electronics in Agriculture","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168169925010907","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The common cutworm, Spodoptera litura, is an economically important insect pest worldwide. However, outbreaks and control failures are frequently reported, with infestations often detected by farmers only after severe damage has occurred. This study aimed to apply an electronic nose (e-nose) based on eight metal oxide semiconductor (MOS) gas sensors to detect insect odors emitted from different stages of S. litura and volatile organic compounds (VOCs) released from their infested host plants. In laboratory tests, a prototype e-nose equipped with eight TGS sensors successfully detected various insect odors from different developmental stages and numbers of individuals (0.31–41.04 %). Older larvae and higher numbers of insects induced higher sensor responses. The e-nose also distinguished between two closely related species, S. litura and S. exigua. Additionally, plant VOCs released from pak choi (Brassica rapa) leaves with more than 5 % damage caused by S. litura larvae were more readily detected by the e-nose compared to leaves cut with scissors or undamaged plants. The e-nose also detected insect odors from S. litura larvae and plant VOCs from infested plants at distances of up to 40 cm. In greenhouse tests, the e-nose began detecting differences in insect odors and plant VOCs measurements between S. litura-infested and healthy plants when neonate larvae invaded plant leaves. This study demonstrates the potential of the e-nose equipped with eight TGS sensors as a detection tool for S. litura infestations in crop production.
期刊介绍:
Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.