• Modinat Abolore Mabayoje
Keywords: Cassava, Decision Support, Disease, Farmer, Loss, Yield.


A report of the International Institute of Tropical Agriculture (IITA) shows a record of over 50 improved cassava varieties that are currently developed to improve the quality and quantity of the industrial outputs derived from cassava. These varieties have been in circulation to both small and large scale farmers since 2013. Over the time it has been discovered from an IITA survey, that farmers have challenges in deciding the cassava variety that would provide the highest percentage yield of desired industrial outputs (Ethanol, flour, Garri, Starch). The trial and error methods adopted to determine the variety to plant has led to wastage, and inconclusive results. Using various methods to guide their decision can be very cumbersome. There are difficulties in tracing track records, as well as retrieval of certain data set from bunch of records. Loss of record or data set would lead to starting the whole method all over, which is not an efficient way of solving the problem. This study therefore, presents a solution to the problem of decision making in the small and large cassava farming, through a user friendly Web application design that can be easily operated by a farmer without much digital literacy, in order to make informed decisions about the cassava crop variety to invest in. The application will facilitate maximum return from desired cassava output thus helping to reduce wastage that comes from manual trial and error techniques.


Keywords: Cassava, Decision Support, Disease, Farmer, Loss, Yield.


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How to Cite
Mabayoje, M. A. (2021). A DESIGN OF A DECISION SUPPORT SYSTEM FOR CASSAVA FARMING IN NIGERIA . Ilorin Journal of Computer Science and Information Technology, 4(1), 1-15. Retrieved from https://iljcsit.com.ng/index.php/ILJCSIT/article/view/47