Descrizione del progetto
Aiutare a salvare le api con algoritmi informatici
Gli scienziati ci hanno avvertito per anni dell’imminente scomparsa delle api (le colonie di api sono scese a 2,5 milioni dai 6 milioni del 1947) e di quanto catastrofica sarebbe la loro estinzione. Le api impollinano più dell’80 % di tutto il cibo che mangiamo e sono vitali per sostenere l’ecosistema terrestre. Per salvare le api, il progetto HIVE-TECH, finanziato dall’UE, utilizza algoritmi di intelligenza artificiale per ottimizzare la gestione dell’apicoltura. Nell’ambito del progetto è stato sviluppato un sistema di supporto decisionale basato sui dati dell’Internet degli oggetti che può analizzare i principali parametri vitali di una colonia, come la produzione di miele e la quantità di cibo durante l’inverno. Gli algoritmi predittivi del sistema possono identificare condizioni anomale, come la mancanza di cibo, e suggerire le azioni da intraprendere.
Obiettivo
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”.
Campo scientifico
- 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
Programma(i)
Argomento(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SMEInst-2018-2020-2
Meccanismo di finanziamento
SME-2 - SME instrument phase 2Coordinatore
20056 Trezzo Sull'Adda
Italia
L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.