Significant manual effort is currently involved in monitoring the compliance of agricultural production with legislation. While this administrative effort has little actual benefit for farms, compliance with legislation, or more generally production standards, is tied to the payout of economically vital farm subsidies. Information technology, together with the data collected automatically in precision agriculture, could alleviate this problem by automatically determining compliance with a significant portion of agricultural production standards. This thesis identifies the technical requirements of automated compliance control, formulates a design that conforms with the requirements of the stakeholders in precision agriculture and evaluates this design. The primary research objective can be further subdivided into three information systems: a farm management information system (FMIS) for precision agriculture, an infrastructure of Web services for automated compliance control and finally, spatial computer inference. These research objectives are addressed with the methodology of design science, using the agricultural field operation of precise fertilisation as the principal use case for automated compliance control. The results consist of information system designs and evaluation of these designs for functionality and feasibility. This thesis contributes the designs for three information systems: a software architecture for an FMIS in precision agriculture, a service infrastructure for automated compliance control and spatial computer inference with an interchangeable rule format. Through their prototype implementations, these are evaluated to constitute the necessary framework for automated compliance control. While technically demanding, automated compliance control with pertinent agricultural legislation is attainable, given the functionality of precision agriculture and the information systems presented in this thesis. However, the feasibility of the process relies on a degree of data interchange, which due to the lack of established data formats is currently difficult in agriculture. On the other hand, parts of the proposed solution can be applicable on a shorter time frame in agriculture or other domains.
|Translated title of the contribution||Tuotantosäännöstöjen automaattinen valvonta täsmäviljelyssä|
|Publication status||Published - 2013|
|MoE publication type||G5 Doctoral dissertation (article)|
- farm management information system
- rule interchange format
- spatial inference
- precision agriculture