PILOT 2.3 Data Brokerage Service and Decision Support System for Farm Management
Farming related data is produced by several suppliers, using different systems, data models and APIs. This data varies from machinery data, satellite data, meteorological data, land parcel information systems, water bodies data, erosion data, soil data and more. For farmers, it is important to have access to the complete data to help decision-making, which is currently not available. The challenge is to integrate this data allowing analysis and visualisation applications for a Decision Support System.
This pilot will establish a trust-based and compliant data market for agricultural enterprise data that sits between the owners and operators of agricultural data clouds and the farmer. This will include both a technical platform and advisory services that will ensure easy adoption of data and technology by farmers.
Pilot farms will implement relevant data generated in the process of managing their farm, as well as indicating expectations and comments regarding the functionality of the system. Three main groups of input information are used. First, data from precise online and long-term measurements on the farm (e.g. meteorologic stations, IoT sensors on the farm etc.). Next, external data specific to the farm such as satellite picture and information, external weather forecasts etc. Finally, data from other sources used at the farm (e.g. governmental regulations, subsidy calculation, work planning information). This data is combined and adjusted to a format that will describe all inputs in one application. Visualisations using a combination of charts and meteograms/multi-charts for sensor and meteorological data will be developed. This more effective utilisation of the data provides support for the decision-making process. Furthermore, a mobile application will provide alarms and warnings with information about suitable/unsuitable conditions for defined interventions.
Using the Data Brokerage Service and Decision Support System will enable farmers to have access to complete and integrated data, providing support for decision-making; something currently not available. This will have a positive influence increasing efficiency, reducing time and effort, and delivering cost savings.
FOCUS: Agricultural Machinery, Precision Farming.
Czech Republic, Poland, Latvia and Norway
Pilot projects run under pilot cluster two:
Pilot 2.1 - In-Service Condition Monitoring of Agricultural Machinery
In-Service Condition Monitoring of Agricultural Machinery
Using onboard sensors for in-service monitoring of engine data as well as data of the exhaust gas after treatment decreases the need for PEMS (Portable Emissions Measurement System).
Pilot 2.2 - Automated Documentation of Arable Crop Farming Processes
Automated Documentation of Arable Crop Farming Processes
Today, agricultural processes are often documented with a considerable time lag after they are carried out, leading to inaccuracies. In addition, the cost of a job depends on various factors.
Pilot 2.3 - Data Brokerage Service and Decision Support System for Farm Management
Data Brokerage Service and Decision Support System for Farm Management
Farming related data is produced by several suppliers, using different systems, data models and APIs. This data varies from machinery data, satellite data, meteorological data, land parcel information systems…
Pilot 2.4 - Benchmarking at Farm Level Decision Support System
Benchmarking at Farm Level Decision Support System
There are several different data sets for agriculture, but many of them are rarely used in practice. Farmers often have challenges with the practical use of data when making decisions on the farm, especially in management.