Browsing by Author "Adeniran, Kamoru Akanni"

Now showing 1 - 4 of 4
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    Artificial Neural Network Modelling of Biochemical Oxygen Demand and Dissolved Oxygen of Rivers: Case Study of Asa River
    (Kaunas University of Technology, 2016) Adeniran, Kamoru Akanni; Adelodun, Bashir; Ogunshina, Matthew
    Water quality assessment involves the determination of a number of parameters using several analytical methods which are often tedious and time consuming. Artificial Neural Network (ANN) was used in this study to model the relationship between fifteen (15) water quality parameters used to predict other two (2) related parameters in other to reduce the burden of long experimental procedures. Water samples were collected from six (6) point and non point sources of pollution along Asa River in Ilorin during the peak of rainy season (June–Aug, 2014) and peak of dry season (Nov–Jan, 2015). Physical and chemical parameters inputted into the models include pH, turbidity, to tal dissolved solids, temperature, electrical conductivity, dissolved oxygen, biochemical oxygen demand, chemical oxygen demand, hardness, chloride, sulphate, phosphate, calcium, magnesium and nitrate. The output models include: biochemical oxygen demand (BOD) and dissolved oxygen (DO). The three layer feed-forward model with back-propagation multi-layer perception (MLP) models architecture of 15-9-1 for BOD and 15-13-1 for DO yielded optimal results with 9 and 13 neurons in hidden layer for BOD and DO respectively. The ANN was successfully trained and validated with 83% and 17% of the data sets respectively. Performance of the models was evaluated by statistical criteria of average error (AE) and mean square error (MSE). The correlation coefficients of ANN mod els for prediction of BOD and DO were 0.9525 and 0.9556 respectively. Sensitivity analysis was also carried out to identify the most significant input-output relationship. Hence, the ANNs was able to show remarkable prediction performance to predicting the BOD and DO in Asa River, Ilorin.
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    Comparative assessment of technical efficiencies of irrigated crop production farms: A case study of the large-scale Kampe-Omi irrigation scheme, Nigeria
    (African Journal of Science, Technology, Innovation and Development, 2020) Adelodun, Bashir; Mohammed, Abdulwaheed Adedayo; Adeniran, Kamoru Akanni; Akanbi, Sheu-Usman Oladipo; Abdulkadir, Taofeeq Sholagberu; Choi, Kyung Sook
    The technical inefficiencies of crop production system in terms of large-scale irrigation schemes are major problems attributed to the underperformance of crop farms. Therefore, the aim of this study was to estimate and compare farm level technical efficiencies of four major crop productions system including, pepper, okra, garden egg, and tomato under the large-scale Kampe-Omi irrigation scheme, Nigeria. The data development analysis (DEA) approach was used to study the hypothesized determinants affecting the efficiencies of crop farms using an ordinary least squares regression model. The results showed that the selected pepper, okra, garden egg, and tomato crop farms were fully efficient at 20, 10, 16.92, and 40% under constant return to scale (CRS), and at 13.33, 30, 10.77, and 25.71% under variable return to scale (VRS), respectively. DEA revealed a considerable variation in technical inefficiency among the selected crop farms under the irrigation scheme. The significant determinants of technical efficiencies of the four crop farms include farmers’ age, family size, experience, alternative income, education, credit accessibility, and contact with extension agents. The outcomes of this study are useful for improving production efficiencies while serving as a convenient guide for both farmers and irrigation scheme managers of selected crops.
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    Effects of electromagnetic treatment of irrigation water on growth and yield of Lagos Spinach (Celosia argentae)
    (Agricultural Engineering International: CIGR Journal, 2020-06) Adeniran, Kamoru Akanni; Kareem, Kola Yusuff; Yusuf, Kamorudeen Olaniyi; Afolayan, Stephen Olaoye
    The effects of magnetic treatment of irrigation water on growth and yield of potted celosia plants (Celosia argentae) grown inside a screen house were investigated. The study was carried out using completely randomiseddesign replicated five times. Water was allowed to pass through fivedifferent flux densities of 719, 443, 319, 124 and0 Gausses (non – magnetized water). Analysis of selected 25 samples of the magnetic flux density experiment (at 6 WAP) showed that meanstem girth irrigated with ordinary water recorded the highest value of 11.95 mm.Meanleaf area of plants irrigated with magnetic flux density of 719 G had a percentage increase of 24.97%; mean bulk weight of 172.72 g; biomass weight of 133.48 g; and root weight of 39.24 g, when compared with plants treated with ordinary water (0G), with a bulk weight of 158.08 g; biomass weight of 124.22 g; and root weight of 33.86 g. Analysis of Variance (ANOVA) at a confidence interval of 95% showed that effects of varying magnetic treatments of water on bulk yield, edible weight, root weight, total leaf area and average plant height were significant at P ≤ 0.05. This implies that magnetic technology contributed to the result of the aforementioned growth indices. Effect of magnetic treatment of water on number of leaves was not significant at P ≤ 0.05. Further analysis of results using Duncan New Multiple Range Test (DNMRT) showed that the effects of 719, 443, and 319 Gauss were statistically and significantly different from one another on bulk yield of sampled plants. Memory (residual) effect of irrigation water was also enhanced by magnetic treatment. Magnetic treatment of water also reduced sodium hazard and salinity effect on crop yield. The study shows that magnetic treatment of irrigation water increases crop growth and yield.
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    Evaluation of Potential of Activated Locust Bean Pod as a Coagulant for Domestic Sewage Treatment
    (Kaunas University of Technology, 2017) Akpenpuun, Timothy Denen; Akinyemi, Banjo A; Adeniran, Kamoru Akanni; Sulaiman, M.F.; Adelodun, Bashir
    An investigation was carried out on the coagulation potential of the activated locust bean pod in comparison with aluminium sulphate (alum) in the treatment of domestic sewage. The treatments included control cul ture (water without alum and activated locust bean pod treatment), 3.5 g/L of the activated locust bean pod, 4.5 g/L of the activated locust bean pod and 4.5 g/L of alum. All the treatments were cultured in 16-litre buc kets. Physical, chemical and bacteriological properties of domestic sewage were determined before and after the application of the coagulants on a weekly basis. The result showed that 1.14 NTU of turbidity was removed from an initial value of 6.34 NTU using 4.5 g/L of the activated locust bean pod. For the samples treated with 4.5 g/L of alum, turbidity reduced to 0.36 NTU, while 0.46 NTU was removed from the control experiment. pH values show that the pH of the samples decreased from6.83 to 4.05, 6.83 to 6.00and 6.83 to 6.15 for the activated locust bean pod, alum and the control tanks, respectively. The result shows that the activated locust bean pod acidified waste water. The result showed that 3.5 g/L and 4.5 g/L of the activated locust bean pod and alum removed about 0.98% and 1.90% of BOD5, respectively, while BOD5 in the control experiment reduced by 0.26% from the initial value of 6. A significant removal of coliform counts activated locust bean pod was observed. The study shows that the activated locust bean pod can be used in place of alum, which is dependent on the end use of treated water