Towards Automated Insect Farming: Detection and Segmentation of Mealworm Beetles, Tenebrio molitor, using Synthetic and Real Datasets

Zenodo (CERN European Organization for Nuclear Research) 2026 Preprint Open access

Read full text
Authors: Muhammad Mubeen Tayyab, Mark Hansen, Melvyn Lionel Smith, Muhammad Fahim Tariq
DOI: 10.5281/zenodo.18236034
Cited by: 0

Abstract

This manuscript is a preprint and is currently under peer review at the Journal of Applied Entomology.

Fields of Study & Subjects

Insect Utilization and Effects Smart Agriculture and AI Advanced Neural Network Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
13 January 2026
Language
EN
Document type
Preprint