Finding answers to critical business questions through ABACO Farmer

BigDataGrapes aims to help European companies in the wine and natural cosmetics industries become more competitive in the international markets. It specifically tries to help companies across the grapevine-powered value chain ride the big data wave, supporting business decisions with real-time and cross-stream analysis of very large and multimodal data sources. One of the scopes of the project is the integration with existing real-life Software Systems. ABACO Farmer(ex SITI4Farmer “S4F”) serves as a software used by various stakeholders along the agricultural supply chain that is used to demonstrate the technologies developed in BDG in a real-life setting. In the Farm Management Pilot ABACO together with Geocledian, KUL and CNR are developing a dashboard on Water Availability and Irrigation Recommendations to help farmers answer the following four critical business questions:

  • How to Increase productivity/ grape quality?
  • How to Reduce the use of emergency irrigation?
  • How to Detect the moment in which the stress level is critical for the plant?
  • Which part of the vineyards really needs irrigation?

After integrating it in ABACO Farmer an end user evaluation will take place with selected users.

As regards to Big Data, an essential input is represented by satellite data provided by Geocledian with its analytics capabilities, also for the Dashboard on Water Availability and Irrigation Recommendations where Copernicus multispectral data are used to monitor the actual water status situation of the plants.

The solution has been successfully applied to a wide range of projects allowing for the stakeholders of the wine supply chain to continuously monitor the important variables affecting the phenology of vineyards. Because of the specific needs, the availability of technologies and the data analysis requirements, ABACO Farmer integrates into a “single view” all important variables related to vines. The unique value of ABACO solution resides in the ability to easily combine information “from the sky” to the information “from the field”, thus allowing monitoring environments that have unique characteristics on land morphology, soil and climatic, including exposure to the sun. Two winemakers located in Tuscany (Italy) were identified as actors in this pilot. They have been supported in their work by the developed products and, apart from the farm management system itself, such products include sensors and other measurement techniques that provide decision support data. On the other hand, these actors are helping in designing the new system by providing feedback and know-how about their needs and activities. ABACO Farmer offers features to improve production, traceability, sustainability, and competitiveness of products through the integration of Earth Observation data with farming-based technologies that are selected and contextualized according to local specificities. ABACO Farmer provides any registered user with some essential tools for land management and crop planning and additional services to satisfy some specific application requirements such as the management of water, permanent crops, on the spot checks management and IoT sensors.

Thanks to innovative services in constant evolution, such as the agro-meteorological indicators, vegetation indices and phenology checker, ABACO Farmer aids in developing agricultural strategies in the context of precision farming, by producing prescription maps for variable rate treatments or precision irrigation.

Furthermore, governing agricultural policy instruments, agro-industrial relations, financial services, through research and innovation, requires solutions that guarantee access to heterogeneous information in order to carry out analyses of aggregated data, to implement control and programming models. Climate change and the world population growth require not only technologies for Agriculture 4.0, but also great capacity in the analysis and synthesis of spatial and environmental data and ABACO Farmer provides all this.

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