Author(s): Simeo Kisanjara and Hadija Matimbwa

Abstract: The purpose of this study was to design decision support algorithms (DSA) that will aid sunflower farmers in the Singida Region in managing the risks associated with weather variations and consequently improve crop yields. Overall, sample size of 80 respondents was used including farmers with smart and feature phones, agricultural extension officers (AEOs), and meteorologists, informed the study. Using design science methodology, the decision support algorithm was designed and validated in this study. As revealed, farmers who use both smartphones and feature phones are extremely used the Decision support algorithm. The decision support algorithm provided in this study integrates smart and feature phone elements that were overlooked in comparable, prior systems and algorithms. The designed DSA processes and translates information about a predefined set of daily activities of sunflower farmers for making decisions. The farmers currently will not rely exclusively on the web-based system because internet connectivity is a major challenge in Tanzania's rural areas.

DOI: 10.33545/27076571.2024.v5.i1a.74

Pages: 01-08 | Views: 223 | Downloads: 111

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