Description du projet
Contribuer à sauver les abeilles grâce à des algorithmes informatiques
Les scientifiques nous mettent en garde depuis des années contre la disparition imminente des abeilles (les colonies d’abeilles ont chuté à 2,5 millions par rapport à 6 millions en 1947) et aux conséquences catastrophiques de leur extinction. Les abeilles pollinisent plus de 80 % de la nourriture que nous ingérons et sont essentielles à la survie de l’écosystème terrestre. Afin de préserver les abeilles, le projet HIVE-TECH, financé par l’UE, recourt à des algorithmes d’intelligence artificielle (IA) destinés à optimiser la gestion de l’apiculture. Il a mis au point un système IdO d’aide à la décision axé sur les données capable d’analyser les principaux paramètres vitaux d’une colonie, comme la production de miel et la quantité d’aliments en réserve pour l’hiver. Les algorithmes prédictifs du système peuvent identifier les anomalies comme le manque d’aliments, et suggérer les actions à prendre.
Objectif
Bees are essential for human life, environment health and food production, with more than 80% of the world's food supply depending on pollination activity. Honeybees’ population is threatened by extensive use of pesticides, pathogens/parasites, trauma related to poor beehive management and climate changes. The yearly mortality rates of bees are in the range of 26% in Europe, reaching 40-50% in some countries and seasons. To reduce the incidence of bees’ mortality and improve profitability of the operators, it is essential to have tools to support efficient management of treatments and of beekeeping practices. HIVE-TECH is an IoT data-driven Decision Support System based on Artificial Intelligence algorithms for optimized beekeeping management. HIVE-TECH allows reducing the use of medical treatments and optimizing the beekeeping practices by analyzing the main life parameters of a colony: production of honey, amount of feed stock during winter, temperature and air quality in the hive, buzzing sound spectrum, integration with images from satellite and weather data. Thanks to proprietary predictive algorithms, HIVE-TECH can identify anomalous conditions (swarming, brood-less colony, queen stopping egg-laying, reduction in production, lack of feed stock, etc) and provide proactive suggestions for efficient management, acting as a Decision Support System. The use of HIVE-TECH was proven to reduce the mortality of bees of 20%, reduce operation costs of 20% and increase the yield of production of honey of 30%. Thanks to Data Analytics algorithms on Big Data collected, HIVE-TECH will also provide services to chemical and pharma companies, research institutes and authorities, assessing health status of bees connected to the use of new treatments, nourishments and pesticides. This represents a breakthrough solution with high potential business and huge environmental and social impact, allowing the creation a new paradigm that we name the “Internet of Bees”.
Champ scientifique
- natural sciencescomputer and information sciencesartificial intelligence
- social sciencessociologydemographymortality
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
- engineering and technologyenvironmental engineeringair pollution engineering
- agricultural sciencesanimal and dairy scienceapiculture
Programme(s)
Régime de financement
SME-2 - SME instrument phase 2Coordinateur
20056 Trezzo Sull'Adda
Italie
L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.