Developing performance prediction model for improvement of irrigation projects: the case of Tanzania

This research is a continuation of efforts to find ways to improve irrigation projects. The performance of many irrigation projects implemented in the past has been low in many countries, Tanzania being one. The research involved an in-depth analysis of how irrigation projects work, identifying the source of implementation problems, the variables affecting implementation and related methods, and suggestions for performance improvement strategies. The survey data were collected through follow-up data, case studies of seven irrigation projects that were accompanied by expert interviews, and a survey of 94 commentators involved in various stages of project implementation. Statistical analysis was performed using statistical and non-statistical methods for qualitative analysis. The analysis also involved the development of a code of calculation done in a data mining system using a computer program called "Cubist". It has been noted that the source of problems in project performance relates to various stages of project implementation. These include limited funding for projects, and inadequate water management and irrigation infrastructure. In terms of the indicators of: production, irrigated area, and irrigation efficiency, the variables that affect the performance of projects are related to the inputs and processes and those that come from the various implementation processes. The standards achieved in various indicators, when applied in accounting principles, can be the basis for the improvement of irrigation projects. Such strategies include timely and efficient availability of resources, water and specialized expertise, and good management. This study proposes to experiment with the use of a mathematical formula created by using rice. In addition, unlike the rice crop, the application of this method of calculating the principle of calculation should also apply to other crops, as well as to include the performance criteria of the people. This will be a way to identify the specific causes of the new performance criteria.