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Background: Mealybugs are major pests that cause sap loss and can significantly reduce the quality and market value of durian fruits. Early detection is essential for effective pest management. This study explores the impact of mealybug infestation on volatile emissions and evaluates the application of a low-cost electronic nose (E-nose) system for early infestation detection and ripeness monitoring.
Methods: A prototype electronic nose (E-nose), equipped with four Grove Multichannel Gas Sensor V2 (GM) series sensors selected from a sensitivity survey of 13 sensors, was developed and tested on "Monthong" and "Kradum Thong" durians under outdoor and indoor conditions. Fruit odor signals were analyzed, and linear discriminant analysis (LDA) was used to assess classification performance.
Results: The E-nose effectively differentiated odor profiles between infested and uninfested fruits and ripeness stages. Infested fruits exhibited a different trend of odor changes during ripening, likely due to stress-induced physiological responses.
Discussion: This is the first study demonstrating the use of an E-nose for durian pest detection and ripeness monitoring. The E-nose shows strong potential as a cost-effective, non-destructive tool for early pest detection and postharvest quality control. Future work will focus on scaling the technology with robotic platforms for large-scale monitoring in farms and storage facilities.
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http://dx.doi.org/10.7717/peerj.19936 | DOI Listing |
J Econ Entomol
September 2025
Department of Entomology and Nematology, Southwest Florida Research and Education Center (SWFREC), University of Florida/IFAS, Immokalee, FL, USA.
The Citrus Under Protective Screen is a novel production system implemented to grow citrus free of huanglongbing disease vectored by Asian citrus psyllid, Diaphorina citri. Other significant pests such as mites, scales, thrips, mealybugs, and leafminers, as well as parasitoids and small predators, have been identified from Citrus Under Protective Screen and require management. Chrysomphalus aonidum (L.
View Article and Find Full Text PDFPeerJ
September 2025
Department of Entomology and Plant Pathology, Faculty of Agriculture, Khon Kaen University, Khon Kaen, Thailand.
Background: Mealybugs are major pests that cause sap loss and can significantly reduce the quality and market value of durian fruits. Early detection is essential for effective pest management. This study explores the impact of mealybug infestation on volatile emissions and evaluates the application of a low-cost electronic nose (E-nose) system for early infestation detection and ripeness monitoring.
View Article and Find Full Text PDFInsect Mol Biol
October 2025
College of Life Sciences, China Jiliang University, Hangzhou, China.
Mealybugs are highly aggressive pests that infest various plants and cause substantial economic losses. Histone lysine methyltransferases (KMT) are evolutionarily conserved and proposed to be essential in early embryo development in animals. However, few KMTs have been reported in mealybugs.
View Article and Find Full Text PDFInsects
April 2025
Department of Agricultural and Food Sciences, University of Bologna, 40127 Bologna, Italy.
Vineyard mealybugs (Hemiptera: Pseudococcidae) are economic pests in vineyards, demanding integrated control strategies. Several ant species can facilitate mealybug infestation by protecting them from natural enemies in a mutualistic relationship known as trophobiosis. In the frame of an ant management system, the provision of sugary liquid has proved worldwide to improve mealybug control.
View Article and Find Full Text PDFSci Rep
April 2025
Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, 602 117, India.
Agriculture is an essential foundation that supports numerous economies, and the longevity of the coffee business is of paramount significance. Controlling and safeguarding coffee farms from harmful pests, including the Coffee Berry Borer, Mealybugs, Scales, and Leaf Miners, which may drastically affect crop productivity and quality. Standard methods for detecting pest diseases sometimes need specialized knowledge or thorough analysis, leading to a substantial commitment of time and effort.
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