Ayodele Mercy - Academia.edu (original) (raw)
Papers by Ayodele Mercy
International journal of latest technology in engineering management & applied science, 2024
A locally fabricated roasted groundnut dehulling machine was evaluated for performance under thre... more A locally fabricated roasted groundnut dehulling machine was evaluated for performance under three different speeds of 30, 40 and 50 rpm, and three crop moisture contents of 8%, 9% and 10% using three common varieties of groundnuts (Runner, Red Valencia and Kampala). The components of the dehuller include the hopper, a specially designed dehulling chamber, sprout orchute/outlet, frame and an electric motor-driven belt-pulley drive power transmission mechanism. The test results showed that the dehuller's operating speed and the roasted groundnut moisture content have significant effect on the mechanical damage and the dehulling efficiency. The efficiency of the dehuller decreased with increase in speed. It attained the highest efficiency of 92.1% at 9% moisture content and at an operating speed of 30 rpm, while the mechanical damage was minimal(1.86%) in the runner groundnut variety. All the materials used for fabrication were sourced locally. The dehuller has a capacity of 5.3 kg/h of roasted groundnut seeds. It is affordable, costing about four hundred and two thousand, two hundred Naira (N402,200 equivalent to US$335.17 at the rate of N1,200 to US$1) to produce, simple to operate, suitable for domestic uses and is also recommended for both small and medium scale roasted groundnut processors. The study provided useful information on the effective and efficient optimum conditions required for roasted groundnut dehulling. Further studies are suggested for further investigation by adopting the techniques used in this study for dehulling other similar crops.
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING, MANAGEMENT & APPLIED SCIENCE (IJLTEMAS), 2024
A locally fabricated roasted groundnut dehulling machine was evaluated for performance under thre... more A locally fabricated roasted groundnut dehulling machine was evaluated for performance under three different speeds of 30, 40 and 50 rpm, and three crop moisture contents of 8%, 9% and 10% using three common varieties of groundnuts (Runner, Red Valencia and Kampala). The components of the dehuller include the hopper, a specially designed dehulling chamber, sprout orchute/outlet, frame and an electric motor-driven belt-pulley drive power transmission mechanism. The test results showed that the dehuller's operating speed and the roasted groundnut moisture content have significant effect on the mechanical damage and the dehulling efficiency. The efficiency of the dehuller decreased with increase in speed. It attained the highest efficiency of 92.1% at 9% moisture content and at an operating speed of 30 rpm, while the mechanical damage was minimal(1.86%) in the runner groundnut variety. All the materials used for fabrication were sourced locally. The dehuller has a capacity of 5.3 kg/h of roasted groundnut seeds. It is affordable, costing about four hundred and two thousand, two hundred Naira (N402,200 equivalent to US$335.17 at the rate of N1,200 to US$1) to produce, simple to operate, suitable for domestic uses and is also recommended for both small and medium scale roasted groundnut processors. The study provided useful information on the effective and efficient optimum conditions required for roasted groundnut dehulling. Further studies are suggested for further investigation by adopting the techniques used in this study for dehulling other similar crops.
Journal of Civil Engineering , 2024
With the development of machine learning techniques, agricultural practices have experienced a pa... more With the development of machine learning techniques, agricultural practices have experienced a paradigm change that presents prospects for irrigation strategy optimization. This research uses a machine learning model to provide a novel method of intelligent irrigation scheduling. By utilizing characteristics like crop type, crop days, soil moisture, temperature, and humidity, this model forecasts when irrigation will be required, which helps improve water management in agriculture. We investigated the use of a logistic regression model that was trained on a dataset that includes a variety of crop varieties and environmental factors. The program performs admirably, forecasting irrigation requirements with accuracy and precision. Especially, Crop type's introduction as a categorical variable adds flexibility to different crop-specific irrigation needs. Findings show that irrigation efficiency has significantly increased, proving the model's effectiveness in a variety of situations. This research provides farmers with a data-driven decision support system by illuminating the real-world ramifications of using machine learning into agricultural methods. The results highlight the potential for intelligent irrigation scheduling to be widely used, promoting resource optimization and sustainability in the agriculture industry. Our work advances a robust and flexible strategy for irrigation management as agriculture confronts issues like climate variability and water constraint.
Journal of Engineering Research and Reports
During the industrial revolution, agriculture saw a tremendous improvement in the way it was done... more During the industrial revolution, agriculture saw a tremendous improvement in the way it was done. For the first time in the history of agriculture, steam and internal combustion engines were used to carry out laborious on-site farm activities, the first milling machines were built, and several other hitherto manually operated and tiresome operations were mechanized. Since then, however, just like in other fields, the industrial revolution has served as a turning point in the way things are done. Continuous research was carried out in a quest for more improvements and developments. Agricultural machinery has never seen as much improvement as it has in the technological age, which started around the mid-twentieth century. Transformations occurred in the way agricultural machines are being built, and one of the most significant transformations is the automation incorporated into machines such as harvesters, ploughing machines, and irrigation systems. Each of these machines has made th...
International journal of latest technology in engineering management & applied science, 2024
A locally fabricated roasted groundnut dehulling machine was evaluated for performance under thre... more A locally fabricated roasted groundnut dehulling machine was evaluated for performance under three different speeds of 30, 40 and 50 rpm, and three crop moisture contents of 8%, 9% and 10% using three common varieties of groundnuts (Runner, Red Valencia and Kampala). The components of the dehuller include the hopper, a specially designed dehulling chamber, sprout orchute/outlet, frame and an electric motor-driven belt-pulley drive power transmission mechanism. The test results showed that the dehuller's operating speed and the roasted groundnut moisture content have significant effect on the mechanical damage and the dehulling efficiency. The efficiency of the dehuller decreased with increase in speed. It attained the highest efficiency of 92.1% at 9% moisture content and at an operating speed of 30 rpm, while the mechanical damage was minimal(1.86%) in the runner groundnut variety. All the materials used for fabrication were sourced locally. The dehuller has a capacity of 5.3 kg/h of roasted groundnut seeds. It is affordable, costing about four hundred and two thousand, two hundred Naira (N402,200 equivalent to US$335.17 at the rate of N1,200 to US$1) to produce, simple to operate, suitable for domestic uses and is also recommended for both small and medium scale roasted groundnut processors. The study provided useful information on the effective and efficient optimum conditions required for roasted groundnut dehulling. Further studies are suggested for further investigation by adopting the techniques used in this study for dehulling other similar crops.
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING, MANAGEMENT & APPLIED SCIENCE (IJLTEMAS), 2024
A locally fabricated roasted groundnut dehulling machine was evaluated for performance under thre... more A locally fabricated roasted groundnut dehulling machine was evaluated for performance under three different speeds of 30, 40 and 50 rpm, and three crop moisture contents of 8%, 9% and 10% using three common varieties of groundnuts (Runner, Red Valencia and Kampala). The components of the dehuller include the hopper, a specially designed dehulling chamber, sprout orchute/outlet, frame and an electric motor-driven belt-pulley drive power transmission mechanism. The test results showed that the dehuller's operating speed and the roasted groundnut moisture content have significant effect on the mechanical damage and the dehulling efficiency. The efficiency of the dehuller decreased with increase in speed. It attained the highest efficiency of 92.1% at 9% moisture content and at an operating speed of 30 rpm, while the mechanical damage was minimal(1.86%) in the runner groundnut variety. All the materials used for fabrication were sourced locally. The dehuller has a capacity of 5.3 kg/h of roasted groundnut seeds. It is affordable, costing about four hundred and two thousand, two hundred Naira (N402,200 equivalent to US$335.17 at the rate of N1,200 to US$1) to produce, simple to operate, suitable for domestic uses and is also recommended for both small and medium scale roasted groundnut processors. The study provided useful information on the effective and efficient optimum conditions required for roasted groundnut dehulling. Further studies are suggested for further investigation by adopting the techniques used in this study for dehulling other similar crops.
Journal of Civil Engineering , 2024
With the development of machine learning techniques, agricultural practices have experienced a pa... more With the development of machine learning techniques, agricultural practices have experienced a paradigm change that presents prospects for irrigation strategy optimization. This research uses a machine learning model to provide a novel method of intelligent irrigation scheduling. By utilizing characteristics like crop type, crop days, soil moisture, temperature, and humidity, this model forecasts when irrigation will be required, which helps improve water management in agriculture. We investigated the use of a logistic regression model that was trained on a dataset that includes a variety of crop varieties and environmental factors. The program performs admirably, forecasting irrigation requirements with accuracy and precision. Especially, Crop type's introduction as a categorical variable adds flexibility to different crop-specific irrigation needs. Findings show that irrigation efficiency has significantly increased, proving the model's effectiveness in a variety of situations. This research provides farmers with a data-driven decision support system by illuminating the real-world ramifications of using machine learning into agricultural methods. The results highlight the potential for intelligent irrigation scheduling to be widely used, promoting resource optimization and sustainability in the agriculture industry. Our work advances a robust and flexible strategy for irrigation management as agriculture confronts issues like climate variability and water constraint.
Journal of Engineering Research and Reports
During the industrial revolution, agriculture saw a tremendous improvement in the way it was done... more During the industrial revolution, agriculture saw a tremendous improvement in the way it was done. For the first time in the history of agriculture, steam and internal combustion engines were used to carry out laborious on-site farm activities, the first milling machines were built, and several other hitherto manually operated and tiresome operations were mechanized. Since then, however, just like in other fields, the industrial revolution has served as a turning point in the way things are done. Continuous research was carried out in a quest for more improvements and developments. Agricultural machinery has never seen as much improvement as it has in the technological age, which started around the mid-twentieth century. Transformations occurred in the way agricultural machines are being built, and one of the most significant transformations is the automation incorporated into machines such as harvesters, ploughing machines, and irrigation systems. Each of these machines has made th...