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SAN (SMART AGRICULTURE NETWORK) AS DEVELOPMENT OF ARTIFICIAL INTELLIGENCE TOOLS FOR ASSISTANCE IN AGRICULTURAL PRODUCTION - EXAMPLE OF OLIVE OIL PRODUCTION

The project SAN (Smart Agriculture Network), submitted by University of Zadar and Croatian company Elektrokovina plus Ltd. to the Call for Proposals "Increasing the Development of New Products and Services arising from Research Development and Innovation Activities" (IRI), has been granted by the European Regional Development Fund (ERDF). Its fundamentals are research, innovation and technology transfer. Further technological advances in food production cannot be reflected solely in the development of new forms or the advancement of existing agricultural machinery, but as well in technological development which relies on the use of modern information and communication technologies. These challenges have already been discussed in a number of strategies and policies which are classified in the field of precision agriculture. Globally, the importance of “Smart Agriculture” methods in agricultural production is growing. According to the „Smart Agriculture Market - Global Forecast to 2022nd the value of that market globally will be $ 11.23 billion with an average annual growth rate of about 13.27%. SAN project is a further step forward in the advancement of food production, especially in fruit and viticulture. The goal is to create a comprehensive technology platform that will allow the optimal amount of yield and to obtain the best possible quality, especially in those years in which the environmental conditions are challenging and good results could be obtained only by applying additional measures. The proposed system should also take into account the rational use of resources and the application of high environmental standards in production. A „SAN technology“, to be developed in the SAN project, will enable the application of knowledge from top experts in the production of appropriate cultures. The SAN smart agricultural network will be able to measure, monitor and analyze various abiotic and biotic impacts in food production that, depending on the type of crop, may have a negative impact on the quantity and/or the quality of the crop. The system will be able to give an early warning of the likelihood of a corresponding negative impact, well in advance of the adverse event itself. Thus preventative corrective actions could be taken to mitigate/eliminate the consequences. Corrective actions will be partially automated and will require less human labor. The goal of research activities is to create advanced analytical models and applications of artificial intelligence using neural networks. Based on previously collected data, these networks will be able to analyze the obtained data and then independently, with a high level of accuracy, precision and timeliness, propose and undertake corrective activities in food production. The level of accuracy, precision and timeliness increases regarding the amount of data collected. Initially, olive was selected as a culture, not only because of its traditional importance in the production of food in the Republic of Croatia, but also because of its specificity in the production process and the influence of abiotic and biotic factors on the quantity and quality of yield. A mobile smartphone application is being developed to integrate artificial intelligence into a functional unit through the SAN laboratory, as a product it can help manufacturers make better and faster decisions. SAN technology will be applicable to other crops.

Smart Agriculture Network, Artificial Intelligence, Agricultural Production of Olive, Croatia

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