AIMC Topic: Weevils

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Machine learning-enabled acoustic sensing for RPW infestation detection.

Scientific reports
Red Palm Weevil(RPW) infestation is a major challenge in palm production, often remaining undetected until severe internal damage has occurred. This proposed work presents a novel non-invasive auditory detection system that combines advanced signal p...

Towards Detecting Red Palm Weevil Using Machine Learning and Fiber Optic Distributed Acoustic Sensing.

Sensors (Basel, Switzerland)
Red palm weevil (RPW) is a detrimental pest, which has wiped out many palm tree farms worldwide. Early detection of RPW is challenging, especially in large-scale farms. Here, we introduce the combination of machine learning and fiber optic distribute...

Fuzzy controller based E-nose classification of Sitophilus oryzae infestation in stored rice grain.

Food chemistry
Fuzzy controller artmap based algorithms via E-nose selective metal oxides sensor (MOS) data was applied for classification of S. oryzae infestation in rice grains. The screened defuzzified data of selective sensors was further applied to detect S. o...

Transcriptomic alterations in Sitophilus zeamais in response to allyl isothiocyanate fumigation.

Pesticide biochemistry and physiology
To study the fumigation mechanisms of Allyl isothiocyanate (AITC) a promising biorational alternative to present fumigants (phosphine and methyl bromide), and provide theoretical basis for its further development in the control of stored grain pests,...