Deep transfer learning based and MFCC based acoustic detector of rice weevils, Sitophilus oryzae (L.) in stored grains

• Main Author: Rabano, Stephenn L.
• Format: text
• Language: English
• Published: Animo Repository 2018
• Subjects: Acoustic imaging; Deep learning (Machine learning); Rice weevil—Detection; Electrical and Computer Engineering
• Online Access: https://animorepository.dlsu.edu.ph/etd_masteral/6345; https://animorepository.dlsu.edu.ph/context/etd_masteral/article/13418/viewcontent/Rabano_S_MS_ECE_Thesis2_Redacted.pdf
• Institution: De La Salle University

Rice postharvest losses affects the sustainability in human consumption of rice. About one quarter to one third of the world grain crop is lost every year during storage, and most of this is caused by insect infestation. Even though there are grains that remain after the feeding of these insects, gr...