IoT and Artificial Intelligence to Increase Competitiveness in the Green Industry Case study apple cultivation. Case study Vineyard

Transcription

1 IoT and Artificial Intelligence to Increase Competitiveness in the Green Industry Case study apple cultivation Case study Vineyard

2 Financed by the Swedish Board of Agriculture within EC-EIP program The EIP, Entrepreneurship and Innovation Program, seeks to support innovation and small and medium enterprises (SMEs) in the EU Approved financing: 4 Million SEK for 2,5 years The Board of Agriculture is the Government's expert authority in matters of agri-food policy, and is responsible for the agricultural and horticultural sectors.

3 Innovation: Unique and interdisciplinary Position-determined and fine mesh network of connected sensors and other equipment for collecting data on the status of the crop Connection via cellular network with cost-effective IoT technology (NB-IoT) A cloud-based collection and analysis part Link between measurement values to the properties of biological products, but also to the environment and climate A self-learning system that subsequently builds knowledge about how to cultivate and optimize the cultivation Interaction with the growers via smart phones and tablets in speech and writing Automatic analysis of photos to discover diseases and need for nutrition Spectral analysis is an example of technique to be used to measure sugar and acid in the fruit / grape in a non destructive manner The system uses satellite imagery since access is available to a number of satellites. Space technology is introduced in the green industry Artificial intelligence (AI) and machine learning are introduced in the green industry

4 System Solution Sensor Mngt IoT protocol fncts Standardized IoT application protocol IoT protocol fncts Sensor data mngmt API provider functions API REST APP User experience functions Basic Radio fncts for LoRa or NB-IoT SIM mngt SensorDB Knowledge DB Machine learning, Analytic functions LoRa NB-IoT Internet Internet Vineyard with sensors Mobile operator Datacenter with cloud application Vine grower with tablet

5 $ Value Proposition of the Innovation $ $ $ Increased harvesting by 10-30% Short repayment period: Apple farming 3 years, Winery 1 year Reduced environmental and climate impact due to increased precision Lower labor costs Solution for the Swedish market, but also the possibility of export A framework / platform that can easily be adapted to other types of crops Unique competence building in Sweden for the green industry

6 The cross-functional competence of the project group Customers / users Expertise Green Industry incl. fruit and wine Measurement technology and sensors Mobile network focusing on IoT System solutions on cloud platforms Machine Learning Supplier / sales channels and Business plan

7 Commercialization of Innovation The project group includes customers / users. In addition, technology providers, integrators and sales companies. Innovation is being tested and refined in field tests with customers in the project Towards the end of the project, a Joint Venture is planned to be formed between the project partners. A driven management and experienced staff can be recruited from SVEP Design, Cystellar and other companies in the project. In this way, the unique competence is addressed even after the end of the project.

8 State-of-the-Art - now and 2.5 years from now Today: System for e.g. precision farming and smart pest control etc. Static (predefined and hard-coded) decision support software system for given conditions in the field Near future: The system will gradually adapt to each user's special needs Higher reliability and availability of the system, for the user. Self-taught systems do not require difficult and risky software updates

9 Tank You