Intelligent Pollination for Sustainable Increases in Crop Yields and Global Food Security

Objective

iPollinate will bring to market a unique IoT sensor that provides real time monitoring of the foraging rate of honeybee
colonies used for pollination services. This data will be correlated with hive strength and health data using Machine Learning (ML) techniques to provide a precision pollination service enabling farmers to optimise pollination efficiency and crop yields. Our aim is to
enable sustainable increases in crop yields of 30%. Our commercial objectives are to build a global business providing
pollination intelligence services generating annual sales of over €10million and create 17 high-level jobs in IoT and data
analytics within 5 years. Actions include:
• Advanced design and testing of optoelectronic sensor to collect bee foraging data
• Using ML techniques to generate new metrics for pollination effectiveness
• Creating a Spatial Decision Support System (SDSS) to support pollination management
• Conducting field trials to demonstrate performance
• Implementing structured dissemination and exploitation plan to accelerate market adoption.
We have an industrial consortium of 3 SMEs with complementary expertise:
• IRIDEON (Spain): IoT applications, electronics and software development, prototyping and manufacture
• CANETIS (Italy): Development of tools and systems for analysing bee health and behaviour
• BEEHERO (Israel): Precision pollination services for farmers
The project will accelerate development and adoption of a disruptive innovation and business model for pollination services
enabled by unique IoT sensor technology and advanced data analytics. It also addresses priority Societal Challenges,
specifically relating to Food Security and Sustainable Agriculture. iPollinate will enable increases in crop yield, quality and
nutritional value through more effective pollination, without the input of additional agricultural resources. It also supports the
competitiveness of the European Precision Agriculture sector in a rapidly growing global market.

Field of science

• /social sciences/economics and business/economics/sustainable economy
• /social sciences/economics and business/business and management/commerce
• /natural sciences/computer and information sciences/software/software development
• /social sciences/sociology/governance/public services
• /engineering and technology/other engineering and technologies/food and beverages/food safety
• /agricultural sciences/agriculture, forestry, and fisheries/agriculture/sustainable agriculture
• /natural sciences/computer and information sciences/data science/data analysis

Programme(s)

• H2020-EU.3. - PRIORITY 'Societal challenges
• H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies

Topic(s)

• EIC-FTI-2018-2020 - Fast Track to Innovation (FTI)

Call for proposal

H2020-EIC-FTI-2018-2020
See other projects for this call

Funding Scheme

Coordinator

Participants (2)