دانلود رایگان مقاله اتوماسیون چند سطح سیستم های اطلاعات مدیریت مزرعه

ABSTRACT

As innovative information and communication technology (ICT) tools were gradually introduced over the past decades into the agricultural sector, the use of farm management information systems (FMIS) was widely expanded and nowadays are regarded as important tools for managing the agricultural business. Nevertheless, the necessary workload for collecting, aggregating and importing data related to farming activities into a FMIS, is a task which is often time-consuming and farmers are reluctant to perform. The current paper describes the implementation of three automation levels, which enhance a FMIS by providing solutions related to the collection of fragmented-missing data and time-consuming data entry. The three levels involve: (i) the development of a modular FMIS based on future internet technologies, (ii) the use of standard values for assessing the cost of performed agricultural tasks and (iii) automating the process of importing task-related data into a FMIS using tractor’s CAN-Bus ISO 11783 and SAE J1939 communication information. To assess the financial analysis of the developed FMIS, related data were collected, recorded and analysed for an entire growing season, from two distinct crops, i.e. winter wheat and maize. Furthermore, to assess the automated task formulation in the FMIS, machine data were acquired while ploughing with a mouldboard plough. The application proved capable of performing a profitability analysis based on the recorded cost transactions but also based on the information given by the user related to the performed tasks. With the automatically created task, the FMIS gave the possibility to the user to present and process the necessary information with minimum effort.

4. Conclusions

Three levels for automating an FMIS were discussed and the architecture that implements these levels of automation was described. The FMIS was built on FI technologies, which can provide support on adding additional functionalities in the future with minimum effort. The developed application proved to be capable of performing a profitability analysis based on the recorded cost of transactions but also based on the information given by the user, which were related to the performed tasks. The use of standard values can be a useful solution when data are missing or are difficult to be calculated. Future work should include connecting the FMIS with an open data repository for acquiring standard values (e.g. KTBL in Germany - Kuratorium für Technik und Bauwesen in der Landwirtschaft).

Machine data from J1939 and ISO 11783 communication were collected, analysed, and aggregated into agricultural tasks. The developed methodology managed to reduce the manual data treatment for importing task-related data into the FMIS, a process which is errorprone and time-consuming. The FMIS presented the performed tasks to the user, giving the possibility to further process them. Furthermore, data that for the farmer was difficult to record, e.g. engine fuel rate, became available via the FMIS.