PROBES snapshot: Enhanced Pest Acoustic Detection Device for Rice (EPADDY)

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dc.creatorGakhar, Shalini
dc.creatorBenavente, Grecia
dc.creatorJimenez, Daniel Ricardo
dc.date2025-12
dc.date2026-02-05T08:29:33Z
dc.date2026-02-05T08:29:33Z
dc.date.accessioned2026-06-27T13:36:57Z
dc.descriptionThis one-page brief, developed by the Digital Transformation Accelerator (DTA) team at the Alliance of Bioversity International and CIAT, is based on the EPADDY probe led by Shalini Gakhar, Data Scientist - Interoperability and Data Science Life Cycle at IRRI. The probe explores the use of acoustic sensing and machine learning to detect insect pests hidden inside stored rice grains. By capturing and analyzing insect-generated sounds, the approach aims to provide an early warning system for post-harvest infestations before visible damage occurs. Implemented as an early-stage, safe-to-fail experiment, the probe focuses on understanding the feasibility, accuracy, and practical challenges of using low-cost hardware and AI models in real storage environments. The brief synthesizes early insights to inform future development of scalable, non-invasive pest monitoring solutions for rice storage systems.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/181204
dc.identifier.urihttp://hdl.handle.net/123456789/64955
dc.languageen
dc.rightsOpen Access
dc.sourceGakhar, S.; Benavente, G.; Jimenez, D.R. (2025) PROBES snapshot: Enhanced Pest Acoustic Detection Device for Rice (EPADDY). 1 p.
dc.subjectrice
dc.subjectartificial intelligence
dc.subjectpostharvest losses
dc.subjectinsect pests
dc.subjectacoustic monitoring
dc.titlePROBES snapshot: Enhanced Pest Acoustic Detection Device for Rice (EPADDY)
dc.typeBrief

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