HoneySeg: A segmentation tool for detecting honey areas in honeycombs
The task of evaluating hives is arduous and time-consuming for beekeepers. One of the tasks involves evaluating the honey in the combs to determine the available surface area, as this is directly related to the health of the hive. Currently, there are very few software tools specifically designed for beekeeping that help alleviate the work of beekeepers. Therefore, this paper presents HoneySeg , a Python-based application for calculating honey area and segmenting honey zones in images of honeycombs. It is an open-source tool designed specifically for beekeeping that does not require prior training for use by the beekeeper. • One of the few software tools designed specifically for beekeeping. • Tool that alleviates the workload for beekeepers in the task of detecting and quantifying honey areas in images of honeycombs. • Automatic tool with a low learning curve for beekeepers. • An open-source tool with modularized code to allow modifications by researchers.
Authors
- Manuel Ortíz-López (ORCID: https://orcid.org/0000-0001-8312-1729)
- Francisco J. Rodriguez‐Lozano (ORCID: https://orcid.org/0000-0003-3560-1407)
- Sergio R. Geninatti (ORCID: https://orcid.org/0000-0003-0857-9400)
- José Luis Ávila-Jiménez (ORCID: https://orcid.org/0000-0001-8006-8256)
- J. M. Flores (ORCID: https://orcid.org/0000-0002-2238-4610)
Institutions
- National University of Rosario (AR)
- University of Córdoba (ES)
Publication Details
- Journal
- Software Impacts
- Published
- 2025-09-25
- DOI
- https://doi.org/10.1016/j.simpa.2025.100788
- Primary Topic
- Insect and Pesticide Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00