Project description
Helping to save the bees with computer algorithms
Scientists have been warning us for years of the bees’ impending demise (bee colonies have declined to 2.5 million from 6 million in 1947) and how catastrophic their extinction would be. Bees pollinate more than 80 % of all the food we eat and are vital to sustaining Earth’s ecosystem. To help save the bees, the EU-funded HIVE-TECH project is using artificial intelligence (AI) algorithms to optimise beekeeping management. It developed an IoT data-driven decision support system that can analyse a colony’s main life parameters, such as honey production and amount of feed stock during winter. The system’s predictive algorithms can identify anomalous conditions such as lack of feed stock, and suggest what actions to take.
Objective
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”.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences artificial intelligence
- social sciences sociology demography mortality
- engineering and technology mechanical engineering vehicle engineering aerospace engineering satellite technology
- engineering and technology environmental engineering air pollution engineering
- agricultural sciences animal and dairy science apiculture
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.3. - PRIORITY 'Societal challenges
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H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME-2 - SME instrument phase 2
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-EIC-SMEInst-2018-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
20056 Trezzo Sull'Adda
Italy
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.