The Classification of Aflatoxin Contamination Level in Cocoa Beans using Fluorescence Imaging and Deep learning
Muhammad Syukri Sadimantara,
Bambang Dwi Argo,
Sucipto Sucipto
et al.
Abstract:Aflatoxin contamination in cacao is a significant problem in terms of trade losses and health effects. This calls for the need for a non-invasive, precise, and effective detection strategy. This research contribution is to determine the best deep-learning model to classify the aflatoxin contamination level in cocoa beans based on fluorescence images and deep learning to improve performance in the classification. The process involved inoculating and incubating Aspergillus flavus (6mL/100g) to obtain aflatoxin-c… Show more
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