Application Of Intelligent Systems In Rural Agricultural Practice

This article draws multiple theoretical concepts and exploits abstractions from knowledge repositories on rural social networks literatures to investigate rural agricultural practices with intelligent systems and technological trends. A qualitative research methodology is adopted to gain an understanding to underlying reasons opinions and motivations. The methodology also provides insights into the challenges of rural agriculture practice automation and helps to develop ideas and solutions for transforming the rural community. Findings from this work indicate that international food policies and agencies play a significant role in driving innovations for rural agriculturist than governmental institutions and networks. Knowledge management and exchange among producers is limited and does not provide the bridge to formal implementation of intelligent systems. The findings also demonstrate how territorial contingent factors profile automation in the agricultural sector and how they impact upon involvement in intelligent systems and in turn facilitate or restrict innovation in this context. This paper addresses how to minimize the challenges of intelligent systems implementation in agricultural practise based on the acquaintance of participatory approach during the design and development phases. This has been identified as one of the most imperative factors for framing technology implementation. The maturity of sustainable intelligent systems through theories and methodologies from the fields of human computer interaction and user-centric designs are explored. Despite the challenges this concept presents intelligent systems can contribute significantly to long-term sustainable development in agriculture.