PILOT 2.1 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). Storing and analysing selected data as well as providing defined information to legal institutions helps to monitor that machines follow the regulations and offers the possibility to use the collected data for further improvements (e.g. optimising machine and simplify maintenance).
This pilot aims at demonstrating the potential application of onboard sensors for in-service monitoring, as well as testing the legal applicability of existing After Treatment (AT) sensors as an alternative to PEMS, while considering aspects of data management, privacy and integrity.
Using data from existing sensors, algorithmically ensuring high quality of continuous data streams, and analysing the data in real-time by making use of the most appropriate algorithms and technologies, will allow monitoring, documentation, and the use of the analysed results for further actions.
Using the collected data will result in better knowledge of machine and engine conditions. On the one hand this can be used to simplify maintenance and thus reduce costs and machine down time. On the other hand, when in-service condition monitoring is mandatory this approach helps to fulfil regulations.
FOCUS: Agricultural Machinery, Precision Farming.
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.