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Vol 2 Issue 5

Volume  2  Issue  5

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Nwosu, F.O; I.J. Uhuegbulem; G. N. Ben-Chendo

Green Economy: A Tool for Achieving Sustainable Development and Poverty Reduction in Nigeria

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Samiei Far, Amin , Kazemi, Navab , Rahnama, Majid and Ghasemi Nejad, Mahmood

Effect of Ballasting and Changing of Angles Disk Offset on Performance of Tractors

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Abstract: The important indicators in the energy consumption for tillage tractor’s overall energy efficiency. For accurate measurement and same time these factors and other factors affecting it, Initially MF 399 is equipped to types sensors and the data collection units so that the parameters such as fuel consumption rate, Slip rear wheels and energy efficiency of the tractor during operation of discs. The using a factorial experiment that factors include: Field conditions (tilled T and not tilled NT), Ballasting (ballasting and UN ballasting) and the angles of disk offset (41 and 46) in the factorial experiment with three replications were conducted. After the data analysis was performed using Duncan’s multiple range tests. According to the results obtained the highest overall energy efficiency 16.52% for non- plowing land with the ballasting and the lowest 12.92% the overall energy efficiency of a plowed field without the ballasting. The maximum and minimum slip rear wheel was 27.96% and 6.19%.

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El-Hagarey, Mohamed E., Mansour, Hani A., Gaballah, M. S.

A Net-back, Revenues and Applied Energy Analysis of Irrigated Wheat Using Pressurized Irrigation Systems under Environmental Desert Multi-Criteria

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Abstract: The two field trials were carried out under four pressurized irrigation systems in season (2012/2013) at the site of NRC Farm, Nubaria, Behaira Governorate, This study aims to investigate the energy feasibility (a net-back, applied and revenues energy Analysis) of cultivating wheat (Triticum aestivum L. cv. Gemmaiza 9), under various pressurized irrigation systems [surface drip (SD), subsurface drip (buried hoses) (BD), fixed sprinkler (FS), semi-portable sprinkler (PS). Applied irrigation water amounts are (50, 75 and 100% of calculated applied water and called W1, W2 and W3, respectively). The statistical experiment design was a complete split plots, the main results are: The highest energy efficiency of crop irrigation (EECI) were (PS, W3), (PS, W2), (FS, W3) and (FS, W2) respectively, while the other treatment is semi close. The highest pumping power is (FS, PS, SD and BD) irrigation systems, respectively. Otherwise, the highest energy requirements were (SD, W3), (SD, W2), (SD, W1), (FS, W3), (PS, W3) and the other treatment is semi close. The highest applied installing energy is (BD, FS, SD and PS) irrigation systems respectively, as we have seen the last energy parameters lead to the operating and annual total energy As we will see later, it’s crystal clear that the highest applied operating energy is (PS, W3), (BD, W3), (BD, W2), (PS, W2) and (SD, W3) respectively. The highest annual total irrigation energy inputs (ATEI) is (BD, W3), (BD, W2), (BD, W1), (FS, W3), (FS, W2), (FS, W1) likewise SD then PS irrigation systems. The highest energy-applied efficiency (EAE) is (BD, W1), (BD, W2), (BD, W3), (SD, W1), (SD, W2), (PS, W2), while the others treatments are semi close and are not faraway about the last value. The highest value of both of AIEI and REC is (BD, W1), (SD, W1), (FS, W1), (PS, W1), (BD, W2), and (SD, W2). By the same token, FS then PS irrigation systems. Conversely, the behavior of both of EECI and EP increases beginning of BD, SD, and FS reaching to PS irrigation systems.

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Dongdong FEI, Chen DENG1, Qinshun ZHANG, Zhuliang HUNAG

Kinect Depth Data Calibration

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Abstract: Kinect sensors have drawn much attention since the launch of its first version, which is officially called the Kinect effect by Microsoft. Applications of Kinect are almost all depend on its depth data. However, the accuracy of the depth data will decrease dramatically if the object is far from the sensor. In this work, the accuracy is improved by three main steps. A modified wavelet filter is firstly applied to reduce the nose of the signal that will be processed for the generation of depth data. The result shows that a cleaner depth image can be obtained when the proposed filter is implemented. But the mismatch between the measured depth and the exact depth is still obvious. This problem is overcome by curve fitting with polynomial functions. To assess the performance of the functions, the mean square error (MSE) is employed here. And the 1-order fractional polynomial function is found to be both accurate enough and computationally simple. The last step is to convert the point-to-point distance to point-to-plane depth, which is accomplished by Pythagoras’s theorem. The result shows this method is simple but effective.

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Desmond Amiegbebhor

Intelligent Transport System (ITS) For the Management of Bus Operations in Sub-Sahara Africa: The Public Private Partnership (PPP) Approach

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Behzadeepour, Faeze, Ghasemi nezhad raeeni, Mahmood, Asoodar, Mohammad Amin, Marzban, Afshin and Abdanan mehdizadeh, Saman

Study the Effect of Operational Parameters of Crops Turbine Sprayer (Turbo Liner) On Spray Drift and Uniformity Using Spectrophotometer

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Abstract: Drift and its destructive effects is the main problem facing today’s sprayer users and manufacturers. Whenever spraying is done possible drift should be controlled and reduced. For this reason to evaluate the technical factors affecting the drift, an experiment was carried out using turbine farm sprayer (turbo liner), in three factor factorial experiment with a completely randomized design. The factors and levels were as follows: spraying pressure with three levels of 10, 25 and 35 bar, the fan speed with the two levels of 1998 and 2430 rpm and forward speed in two levels of 9 and 13.5 km /hour. Using a spectrophotometer and software, Excel and SAS and Duncan multiple range test, drift percent, the meeting (L/ha) and spray uniformity was measured. The results showed that treatment p3f1 and p3v2 constant pressure of 35 bars, Fan speed 1998 rpm and the speed of 13.5 km/hr at to 63 and 64 percent, respectively, have the greatest influence on their CV and have the lowest influence on their spray uniformity. The results showed that treatment p3v2 constant pressure of 35 bar and the speed of 13.5 km/hr, have the greatest influence on their drift, to 84 percent.

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