2024/01/01 by Jean-Charles Huet, Huet, Jean-Charles, Lamine Bougueroua +19
Agricultural and Biological Sciences · #0 #Artificial intelligence #Beekeeping management #Chatbot #Computer science #Decision support tools #Food Industry and Aquatic Biology #Image processing #Precision beekeeping #Varroa mite
paper · pdf · doi:10.17180/ciag-2024-vol94-art18-gb
published in HAL (Le Centre pour la Communication Scientifique Directe) (Centre National de la Recherche Scientifique)
openalex publication_date 2024/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
Beekeeping becomes technically more complex, due to the drop in harvests and the loss of livestock that negatively influence this activity. Scientific and technical references remain insufficiently transferred to all beekeepers. This is partly due to a lack of data collected under real beekeeping conditions. We are proposing to build digital tools for managing bee populations, providing back-up for beekeeping practices, colony health and yield, while enabling beekeepers to compare their data. The aim of the tools developed is to support beekeepers in their decision-making. More practically, these tools include a digital logbook, a data entry application and a varroa mite detection tool.