An E-Nose Using Metal Oxide Semiconductor Sensors Array to Recognize the Odors of Fall Armyworm Pest for Its Early Detection in the Farm

dc.contributor.authorAHOUANDJINOU, SÈMÈVO ARNAUD ROLAND MARTIAL
dc.contributor.authorKIKI, PROBUS K. M. A.
dc.contributor.authorASSOGBA, KOKOU
dc.date.accessioned2026-06-02T16:06:57Z
dc.date.available2026-06-02T16:06:57Z
dc.date.issued2022
dc.description.abstractConsiderably decrease hunger and food insecurity in the world is one of sustainable development goals of the horizon 2030. Agriculture, which is one of most countries main sector and the only factor in the diet of the world’s population, is challenged by pest attack. Technology tools offer real opportunities to better protect farms from many damages caused to crops. In this work, an e-nose system using Metal Oxide Semiconductor sensors for early detection of fall armyworm (FAW) pest is proposed. This is based on a special architecture designed to have an affordable and efficient e-nose. Detailed investigations were carried out to identify sensors with potential sensitivity to FAW odors. Then, the sensors were used in a sensor matrix as electronic nose. An electronic acquisition card was achieved to interface the electrical output of the array of seven metal oxide semiconductor gas sensors exposed to an odor diffusion …
dc.identifier.otherBECDB-13342
dc.identifier.urihttps://dspace.uac.bj/handle/123456789/11447
dc.language.isofr
dc.relation.ispartofe-Infrastructure and e-Services for Developing Countries. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
dc.subjectSmart farming
dc.subjectFall Armyworm (FAW)
dc.subjectMulti-level monitoring
dc.subjectEarly detection
dc.subjectE-nose
dc.subjectImage processing
dc.titleAn E-Nose Using Metal Oxide Semiconductor Sensors Array to Recognize the Odors of Fall Armyworm Pest for Its Early Detection in the Farm
dc.typeArticle

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