Data and code from: AI-based image profiling and detection for the beetle byte quintet using Vision Transformer (ViT) in advanced stored product infestation monitoring

Data and code from: AI-based image profiling and detection for the beetle byte quintet using Vision Transformer (ViT) in advanced stored product infestation monitoring

<p dir="ltr">Managing beetles that infest stored products is crucial for reducing losses in harvest supply chains and improving food security and safety. Successful pest management programs require effective and timely monitoring programs, but traditional methods for detecting pests...

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Bibliographic Details
Main Author: Alison Gerken (17362585) (author)
Other Authors: Ronnie Serfa Juan (21360503) (author), Lester Pordesimo (21493895) (author), James Campbell (21493900) (author), Paul Armstrong (21493904) (author)
Published: 2025
Subjects:
Agricultural, veterinary and food sciences
Food sciences
Food sciences not elsewhere classified
Biological sciences
Terrestrial ecology
Artificial intelligence
Modelling and simulation
Computer vision
Image processing
stored product insects
computer vision
Image identification
beetles
Coleoptera
stored grain
postharvest
image processing
neural network
pest management
source code
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