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Odor-based real-time detection and identification of pests and diseases attacking crop plants
Auteur(s)
Terunobu Akiyama
Kosuke Minami
Genki Yoshikawa
Felipe Lopez-Hilfiker
Luca Cappellin
Date de parution
2024-07-29
Résumé
Plants respond to attacks by herbivores and pathogens by releasing specific blends of volatile compounds and the resulting odor can be specific for the attacking species. We tested if these odors can be used to monitor the presence of pests and diseases in agriculture. Two methods were used, one employing piezoresistive membrane surface stress sensors and the other proton-transfer reaction mass spectrometry. Under laboratory conditions, both techniques readily distinguished between maize plants that were either undamaged, infested by caterpillars, or infected by a fungal pathogen. Under outdoor conditions, the spectrometer could be used to recognize plants with simulated caterpillar damage with about 80% accuracy. Further finetuning of these techniques should lead to the development of odor-sensing mobile devices capable of alerting farmers to the presence and exact location of pests and diseases in their fields.
Identifiants
Type de publication
preprint
Dossier(s) à télécharger
