Abstract: Agricultural economic development and survival depend on the ability of the people to learn about their environment. Understanding an environment is influenced by learning which focuses on the capacity to sense dissonance in the interaction between the people, the environment and to devise appropriate response for alleviation. Proper response brings about intellectual assets which provides the foundation to learn, understand and respond to areas of necessity. This research considers agricultural knowledge as an elusive commodity because it is held subconsciously in our tacit state of mind. The notion of knowledge offers numerous definitions and interpretations of which offer valuable perspectives and insights. Of particular interest for this article is crop model, specifically cassava crop. Cassava production, especially which is meant for the regulated market requires an expert that involves specific laid down procedures. The fact that Cassava can be converted to numerous end products such as flour, cake, starch, chemical, fuel to name a few, means that Cassava production and processing which could satisfy best practice standards would be a tough task, especially for a small-scale farmer. This study tends to describe the process involved in Cassava production and processing in the idea of not only building a knowledge model that will assist the farmer to comprehend easily such process but also to guide the development of an ontology development tool that can capture agricultural processes. The emphasis of this paper is on knowledge modeling.
Emmanuel Ukpe and S.M.F.D. Syed Mustapha, 2016. Knowledge Model for Cassava Production. Asian Journal of Information Technology, 15: 5126-5136.