This study used the Oba Super 13 maize variety as a test crop on three main plots, each of which represented a distinct tillage technique, in order to explore the impact of various soil treatments on crop output. There are a total of 27 subplots, three levels of each of the three soil treatments (irrigation deficit, tillage method and NPK Application rate) present in each plot. All of the subplots’ crop yields were calculated, and the conservative tillage method with 10% MAD and 600 kg/ha NPK application rate produced the highest crop yield of 2540 kg/ha, while; no tillage, 50% MAD and 400 kg/ha NPK application rate produced the lowest yield of 1234.67 kg/ha. All of the subplots’ controllable variables were optimized utilizing the response surface technique (RSM). The best values based on the run resulted in a crop yield of 2543.589Kg/Ha, conservative tillage, an irrigation deficit of 11.594%, and NPK application rates of 596.406Kg/Ha. For the purposes of this study, conservative tillage produced the highest maize yield. This supports the idea that a drip irrigation system could produce a high yield in the research area.

Cite This Article as: Odior KA and Felix E, 2022. An evaluation of the usefulness of fitted regression equation using the confidence interval. Inter J Appl Sci Engr, 10(2): 35-38.

A good maintenance management of agricultural machines helps in extending the useful life of a machine that will result to optimized agricultural productivity. Repair and maintenance of farm machines are costly especially in Anambra State where virtually all agricultural machines and implements are imported. The spare parts are scarce and costly; furthermore, fuel, oil and labour costs are expensive. There is need to optimize the repair and maintenance fund for availability of machines and implements for successful agricultural operations. The primary and secondary data of both the accumulated working hours and repair and maintenance costs were subjected to regression analysis. The polynomial model with the expression AWH = 6E-07ARM2 + 0.0039ARM – 2.3488 was chosen for giving the highest coefficient of determination (R2) with the value R2 = 0.99, which best describes the given data. Also, the study shows that the mean time before failures (MTBF) and tractor availability were decreasing with increase in working hours while mean time to repair (MTTR) was increasing instead of decreasing. This study aims at finding model that best optimizes repair and maintenance cost of agricultural machineries fo mechanization of agriculture in Anambra State of Nigeria.

Cite This Article as: Onuorah CM, Umeghalu ICE and Nwajinka OC, 2023. Model for optimization of repair and maintenance fund for mechanization of agriculture in anambra state of Nigeria. Inter J Appl Sci Engr, 11(1): 8-13.

An automotive navigation system is a technological tool that is either built directly into a vehicle or can be added later as an aftermarket product from a third-party manufacturer. It is used to help drivers locate directions and navigate to their intended destinations. Typically, an automotive navigation system acquires its position data from a satellite navigation system, such as GPS (Global Positioning System). This data is then connected to a position on a route, which allows the system to determine the best possible route to reach the driver’s intended destination. Routing is a critical function of the navigation system, as it determines the most efficient and safest way to reach the desired destination. However, road conditions and traffic congestion can change rapidly, making the initially recommended route unsafe or impractical. To address this issue, the system needs to be able to adjust the route in real-time based on current traffic conditions and road closures. The primary focus of this paper is to explore the existing navigation systems and identify their drawbacks related to accident prevention. By analyzing these systems, we can develop additional features that could potentially help prevent accidents. One of the main issues with current navigation systems is their limited ability to provide real-time information about potential hazards or accidents on the road. This means that drivers may be unaware of dangerous road conditions, such as road closures, heavy traffic, or accidents, until it is too late to avoid them. To address this issue, we propose adding a feature to the navigation system that provides real-time information about road conditions and potential hazards. This feature could be powered by data from sensors installed on the vehicle or data collected from other sources, such as weather and traffic reports. By alerting drivers to potential hazards and providing them with alternative routes, we can help prevent accidents and improve overall safety on the road. In conclusion, this paper aims to explore the existing navigation systems and identify their drawbacks related to accident prevention. By analyzing these systems and proposing additional features, we can help prevent accidents and improve overall safety on the road. By integrating real-time information about road conditions into the navigation system, we can make driving safer for everyone.

Cite This Article as: Varawalla SE and Bhutad MS 2023. A survey paper on Path Navigation Systems. Inter J Appl Sci Engr, 11(1): 14-22.