*College of Engineering, Nanjing Agricultural University, Nanjing-210031, China
**Key Laboratory of Intelligent Agricultural Equipment of Jiangsu Province, Nanjing-210031, China
***College of Water Conservancy and Hydropower, Hohai University, Nanjing-210098, China
****Key Laboratory of Efficient Irrigation-Drainage and Agricultural Soil-Water Environment
Online published on 24 February, 2016.
Farm machinery planning, design and operation are complicated undertaking due to time and cost constraint and due to prevalence of complicated interacting and overlapping field operations involving capacity constraints and cooperating units. Size selection of operation machinery must necessarily base on anticipated performance and. Expected cost. In field machinery operation selection, the majority pertinent variable is size or capacity of the machinery. The classical (MOPWT) model that applied in the past to machinery planning and policy analysis as well as to performance assessment and simulation of machinery demand, and supplies are criticized by limitations in programming and the difficulty in manipulation and storing the bulky data usually encountered in machinery records. In contrast by application of a web-based decision support system (MOPWT) the user can enjoy the facility to store the data in the server. (MOPWT), is a user-friendly interactive program which permits the user to interact by entering the required input records. A (MOPWT) was developed to Predicting Of Field Machinery Operation Performance Variables parameters are total field operation time, effective field capacity, field 1 efficiency and theoretical field capacity, for 1.0, 1.5 and 2 m width tool at operation speed of 4, 2 4.5, 5, 5.5 and 6 km/hr. the estimates machinery performance of various farm machines. It consists of one model, which helps the farm manager to take the correct optimum selection of his 4 agricultural machinery. The (MOPWT) was successfully found that as speed and implement width increased, the complete field time decreased at the same time as theoretical field capacity and effective field capacity increased efficiency decreased. additionally, highest field efficiency was 85.5% 85.5%, it was registered by implement width of 2 m at 4.5 km/hr. speed although the lowest field efficiency was 80.7% 80.7%, it was recorded by implement width of 1 m 6 km/hr. The (MOPWT) result field was concluded that width of plow found to have higher effect than plow operating speed on increasing the effective field capacity, consequently, the field efficiency. The (MOPWT) model was applied to real case conditions in Wad Salma and Rahad irrigated schemes in the central clay Sudan.
Web-Based, Machinery Operation Performance