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Authors:
Alberto Ivars-Palomares
Francisco Javier Diaz
Sandra Sendra
Jaime Lloret
Keywords: pests; aromatic plants; sustainable agriculture; gas sensors; pest repellent.
Abstract:
The agricultural sector faces escalating challenges from pest issues exacerbated by climate change, which alters the distribution and behavior of insect pests, threatening crop yields and food security globally. While traditional chemical pest control methods exist, there is increasing interest in sustainable alternatives, such as plant-derived Volatile Organic Compounds (VOCs), which show potential for environmentally friendly pest management. Certain plants, including rosemary, peppermint, and lavender, emit VOCs capable of repelling pests, aligning with principles of integrated pest management and climate-smart agriculture. Advances in sensor technology now allow precise detection and analysis of these plant-produced VOCs, facilitating research into their composition, concentration, and effectiveness for pest control. Additionally, understanding the dispersal range of VOCs is essential to optimize the placement of aromatic plants in agricultural systems for maximum pest deterrence. This study aims to characterize the gases emitted by rosemary, peppermint, and lavender using various gas sensors, and additionally, to determine the maximum detection range of these emissions to enhance pest control strategies. For data classification, Machine Learning (ML) techniques were employed to enhance the system's performance. With all features, Boosted Trees achieved 77.66% accuracy, while reducing to 5 features improved accuracy to 80.4%. The model effectively distinguishes temperature patterns between distances, though the confusion matrix shows minor misclassifications, suggesting potential for refinement.
Pages: 49 to 54
Copyright: Copyright (c) IARIA, 2024
Publication date: November 17, 2024
Published in: conference
ISBN: 978-1-68558-323-1
Location: Valencia, Spain
Dates: from November 17, 2024 to November 21, 2024