@unilorin.edu.ng
Professor, Faculty of Engineering and Technology
Lecturer, Faculty of Engineering and Technology
University of Ilorin, Ilorin, Nigeria
Joshua Olanrewaju Olaoye had B. Eng. degree in Agricultural Engineering from University of Ilorin in 1990. He had his M. Eng. and Ph.D. in Agricultural Engineering from the same University in 1995 and 2004 respectively. He joined the services of the University of Ilorin, Ilorin in 1998 as an academic and research staff in the Department of Agricultural and Biosystems Engineering of the University of Ilorin, Ilorin, Nigeria. Olaoye rose through the ranks to become Professor of Agricultural and Biosystems Engineering on October 1, 2017. His research activities are in the areas of Farm Power and Machinery, Food Engineering, Bio-energy and Post Harvest Engineering.
Olaoye registered with COREN in 2005 as a registered Engineer, Nigeria. He is also a member of many Local, National and International Associations and Professional bodies. He is a Fellow of Nigerian Institution of Agricultural Engineers (NIAE); Member, Nigerian Society of Engineers (NSE), Member American Society of Agricultural
University of Ilorin, Faculty of Engineering and Technology, Department of Agricultural and Biosystems Engineering, Ilorin, Kwara, Nigeria
2000-06-03 to 2004-12-22 | Engineering (Agricultural Engineering),
1992-06-30 to 1995-05-08 | M. Engineering (Agricultural Engineering),
1985-10-18 to 1990-08-22 | B. Engineering (Agricultural Engineering)
Bioengineering, Agricultural and Biological Sciences, Renewable Energy, Sustainability and the Environment, Food Science
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Kunmi Joshua Abioye, Noorfidza Yub Harun, Mohammad Yusuf, Hesam Kamyab, Joshua O. Ighalo, Wael Almusattar, Joshua Olanrewaju Olaoye, Adesoji Matthew Olaniyan, M. Atif, Ashok Kumar,et al.
Elsevier BV
E.A. Alhassan, J.A. Asaleye, J.K. Biniyat, T.R. Alhassan, and J.O. Olaoye
Elsevier BV
Elijah Aina Alhassan, Joshua Olanrewaju Olaoye, Adewale Folaranmi Lukman, Timothy Adesoye Adekanye, and Oluwaseyi Matthew Abioye
Walter de Gruyter GmbH
Abstract Tractor is the most prominent off-road agricultural machinery that is significant to the global food security. The tractive modelling of tyre–soil interaction and agricultural implement dynamics is a complex phenomenon that require holistic approach. Terramechanics techniques such as empirical, semi-empirical, analytical, and numerical methods such as finite element models and discrete element models have gained traction in tractive performance studies. Some of these approaches are premised on large arrays of variables for modelling tractive performance based on the soil–tyre and tools interactions. In this study, soft computing in R software domain was used to model the tractor tractive performance during ploughing operations on a tropical Alfisol. The research farm at the National Centre for Agricultural Mechanization was used for the field experiment. The experimental design was a nested-factorial under a Randomized Complete Block Design having three replications. The input factors were tractor power size, T, (60, 65, and 70 hp); tyre inflation pressure, P, (83, 124, and 165 kPa); implement configuration, I, (2 and 3 bottoms disc plough); and operational speed, S, (6.31, 7.90, 9.47, 11.05, and 12.63 km/h). Standard procedures were followed to obtain the measured parameters in the field, which were statistically analysed. Correlation analysis and analysis of variance of the measured parameters at 5% significance level were established. Multiple linear regression was used to develop the model, validated using the 10-fold cross-validation method. The results revealed that the evaluated variables have a range of 1.56–7.79 kN, 5.15–27.20%, 9.10–32.00 cm, 4.50–13.94%, 1.31–1.67 g/cm3, 95.89–207.78 kPa, and 98.67–295.56 for draught, wheel slip, depth of cut, moisture content, bulk density, cone index (CI), and shear stress, respectively. A positive correlation exists between the towing force (TF) and the measured variables except for the shear stress and CI. The final developed model has seven variables for predicting TF with a 6.5% error and an average of 0.4735 cross validation root mean square error. The model quality of fit achieved an R Adj 2 = 0.8754 {R}_{\\text{Adj}}^{2}=0.8754 which satisfactorily described the response variable. The study provides insights into tractive dynamic systems modelling of machine, tractive medium (soil), and agricultural tools anchored on soft computing approach. Its adoption will assist in quality ploughing operation integrating the variables established in the model.
A. A. Adebayo, M. O. Olaoye, and J. O. Olaoye
American Society of Agricultural and Biological Engineers
Israel Peter Duniya, Mary Olayinka Olaoye, and J. O. Olaoye
American Society of Agricultural and Biological Engineers
Rasheed Amao Busari, Joshau Olarnrewaju Olaoye, Emmanuel Segun Adebayo, and Adeshina Fadeyibi
Czech Academy of Agricultural Sciences
A combined roaster and oil expeller was developed with locally available and accessible materials and the efficiency of the machine was evaluated. The obtained result shows that the efficiency of the machine is a function of the roasting temperature, the roasting duration, the moisture contents of the processed seeds and the machine feeding rate. The expeller is movable, simple in design for local fabrication, is easy to operate, requires few repairs and little maintenance and is cost effective. It is powered using a gear reduction electric motor of 5.5 Hp, the expeller has an average oil yield of 25.77% and an extraction efficiency of 70.26% and is designed to work for 8 hours per day of operation. The shaft diameter was designed to be 30 mm, while the roaster heater capacity was 2.8 kW. The designed machine is good for castor oil expression for both small- and medium-scale processing among rural and urban communities.
Obafemi Ibitayo Obajemihi, Joshua Olanrewaju Olaoye, Jun‐Hu Cheng, John Olusegun Ojediran, and Da‐Wen Sun
Hindawi Limited
John A. Olorunmaiye, Olalekan J. Ogunniyi, Taiwo Yahaya, Joshua O. Olaoye, and Ademola A. Ajayi-Banji
IEEE
The four modes of entry into Faculties of Engineering and Technology in Nigerian universities are: passing the Unified Tertiary Matriculation Examination (UTME) to gain admission into the first year of a five-year engineering degree programme; passing through a one year Remedial programme before coming in as first year students; Direct entry admission into the second year (200 Level) of the degree programme; and Direct entry admission into third year (300 Level). Data on the modes of entry and Cumulative Grade Point Average (CGPA) at the time of graduation obtained from the ten departments in Faculty of Engineering and Technology at University of Ilorin, for students who graduated in 2018/2019 session, were analysed. Out of the 471 students, 24 graduated with first class honours with 22 of them being UTME students and two being Remedial students. The number of UTME, Remedial, Direct Entry students at 200 Level, and Direct Entry students at 300 level were: 377, 66, 26, and 2 and the averages of their CGPA were: 3.58, 3.27, 3.60, and 3.52, respectively. There was statistically significant difference between the CGPAs of graduates who were admitted through UTME, Remedial and Direct Entry at 200 level. It is recommended that the admission quota of Direct Entry candidates be increased and the UTME candidates should continue to have the highest percentage of admission spaces.
Obafemi I. Obajemihi, Joshua O. Olaoye, John O. Ojediran, Jun‐Hu Cheng, and Da‐Wen Sun
Hindawi Limited
Joshua O. Olaoye and Ezekiel O. Ariyo
American Society of Agricultural and Biological Engineers
Shuaeeb N. Oyewole, Joshua O. Olaoye, and Mary O. Olaoye
American Society of Agricultural and Biological Engineers
E A Alhassan, J O Olaoye, T M A Olayanju, and C E Okonkwo
IOP Publishing
AbstractIn recent time, interest in energy generation from biological materials has been on the increase because of its environmental benefits. The use of these waste materials as feedstock in energy generation plants has been used in many industrial processes. The availability of these wastes is key to the sustainability of such a process. Resource assessment is an important step for planning and implementation of any energy workflow. This research studied the quantity of crop residues generated from farming of some crops in Kwara State and the potential energy contents inherent in them which when properly harnessed can help to alleviate the energy challenge in the state. The crops investigated were rice, maize, sorghum, soybean, and sugar cane. Relevant data were collected by visiting major farm establishments in the state and also the Ministry of Agriculture and Natural Resources (MANR). Obtained production outputs for two farming seasons were analysed using the corresponding residue-to-crop ratios (RPR) to obtain the quantity of wastes generated and the corresponding unit conversion ratio for biomass energy content to obtain the inherent energy potentials. A total crop output of 2531.46 ton was obtained from the study with an estimated residue of 6047.02 tons, and inherent energy potential of 109201 GJ.
J. Olaoye
American Society of Agricultural and Biological Engineers (ASABE)
Abstract. Processing of African locust bean seed starts with pretreatment of the harvested fruit before the seed can be converted into its numerous derivatives. Depulping of locust bean seed precedes cooking in locust bean processing. This operation requires much time and energy, which poses difficulties for the women and children who are involved in the processing of locust bean. This study focused on the development of small-scale equipment for depulping of African locust bean seed. Design, construction, and testing of the equipment were undertaken. The techno-economic status of the women in the rural areas who are directly involved in the processing of locust bean and its derivatives was taken into consideration. The depulping machine comprises a vertical cylindrical container, a cylindrical sieve, and a vertical rotating shaft that carries paddles and brushes. The vertical shaft is mounted at the central axis of the depulping unit. The machine has a capacity to depulp 10 kg of locust bean seed in a batch operation. Performance evaluation of the machine was carried out at five levels of soaking time (15, 30, 45, 60, and 75 min), corresponding to five levels of locust bean moisture content (20%, 25%, 30%, 35%, and 40% w.b.), and five operating speeds (550, 450, 350, 250, and 150 rpm). Results indicated that the depulping efficiency varied between 64% and 98% at moisture contents of 20% to 40% w.b. Seed membrane detachment and seed damage were less than 5% and 9.2%, respectively, at 45 min soaking time (moisture content of 30% w.b. with water at room temperature) and 350 rpm operating speed. The maximum power requirement was 2.25 kW at 550Â rpm. The operating conditions of 350 rpm operating speed and 45 min soaking time indicated higher depulping efficiency (98%), lower seed membrane detachment (2%), and lower seed loss (4.5%) during depulping. The performance results showed that the mechanized depulping process compared favorably with the traditional method in terms of quantity of seed produced per batch operation.