Browsing by Author "Sanga, Camilius"

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    Experts’ Assignment Algorithm for Cloudbased Agro-advisory Service Information System (CASIS) using Weighted Sum Model: Piloting CASIS
    (2015-11) Fue, Kadeghe; Tumbo, Siza D.; Sanga, Camilius
    A Cloud-based Agro-advisory Service Information System (CASIS) uses interactive operating mode where assignment of questions from farmers to experts is done manually. Questions as input to the system are received randomly in a day and experts are supposed to respond within a specified time. The system has 20 experts in its database who respond to farmers questions and it can receive more than 30 questions per day. If there is a significant delay in the responses to a question then the question is reassigned to another expert. Each expert behaves differently when responding to their assigned questions. In order to address the shortcomings, the experts’ assignment algorithm was developed utilizing the respondents’ response probabilities and time of responses. Assignment decision is based on using a model that trains ‘CASIS’ on the determination of best experts. CASIS training algorithm is developed to complement current weakness. The algorithm doesn’t omit experts who respond late but complements them with active ones. The decision boundary is homogeneity and numerical so as to give a single output quickly. The input (x1, x2) and output (y) variables are numeric. The main concept is that the output is generated using linear combination or weighted sum model The algorithm considers response time as best criteria to satisfy the farmers who send the questions. This algorithm provides a great chance of finding a quick answer within a short period of time. Automatic expert assignment is essential to achieve high adoption of the system that satisfies the on-time farmer advisories demand and promote efficiency as well as effective extension services for rural development.
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    On the Development of Climate Data Visualization tool for Interpretation of Empirical Results from Climate Model: Does it add Value to Different Stakeholders?
    (2013-11-30) Sanga, Camilius; Sumari, Neema; Tumbo, Siza
    In time of climate change there is a lot of interest in communicating detailed information and knowledge pertaining to climate to different stakeholders. In order to aid informed decision making related to changing climate and weather variability there is need for data visualization tool. Data visualization tool plays a great role in interpreting bulk climate information produced or collected from different districts, regions and nations at large. In Tanzania, online real-time data visualization tool can help to bridge the gap in the current system whereby climate information is disseminated using television, radio as well as face-to face. These methods have many problems, one being difficulty for end user to aggregate the disseminated climate information over long period of time. This paper seeks to present a work toward developing of a tool for such purpose. The work was done by Database for Crop Models Simulation team from Tanzania with consultation of team members from Kenya, Uganda and Ethiopia. It is anticipated that the tool will enhance efficiency and effectiveness in dissemination and communication of climate information and knowledge to all actors who need it. Furthermore, the results from this study will simulate the debate about climate data visualization in this era where the climate change is a problem which needs to be mitigated using a state-of-art solution.