Agricultural Mechanizationhttp://ir.haramaya.edu.et//hru/handle/123456789/2432024-03-28T23:14:33Z2024-03-28T23:14:33ZTHE MECHANIZATION LEVEL OF IMPROVED ENSET VENTRICOSUM PROCESSING AND ITS IMPACT ON WOMEN’S LIFE IN SNNPs: ARBAMINCH AREA CHENCHA DISTRICTAbekoye Shiferaw HailemariamAdesoji M. Olaniyan (Prof.)http://ir.haramaya.edu.et//hru/handle/123456789/76842024-03-27T05:49:04Z2023-12-01T00:00:00ZTHE MECHANIZATION LEVEL OF IMPROVED ENSET VENTRICOSUM PROCESSING AND ITS IMPACT ON WOMEN’S LIFE IN SNNPs: ARBAMINCH AREA CHENCHA DISTRICT
Abekoye Shiferaw Hailemariam; Adesoji M. Olaniyan (Prof.)
The different methods that farmers use for production and processing of Enset plant are traditional. The introduced improved Enset processing mainly differ from traditional methods in terms of time and labour requirement and their material output in quantity and quality. Traditional methods of processing are cumbersome, labour intensive, unhygienic, impose a lot of inconveniences to the working women, and associated with high yield loss. On the other hand, the introduced technologies improve the processing of Enset products, through improving some devices such as Enset decorticator and squeezer machines. However, most of the introduced improved Enset processing technologies were not effectively utilized and adoption of this processing technology was not fully successful. Therefore, this study aimed at investigating ineffectiveness of the improved Enset processing technologies in adoption in the targeted areas with its associated factors. Cross sectional study was designed and conducted and structured questionnaires were prepared and a total of 95 respondents were selected in the targeted district. Multivariable ANOVA and t-test were used to evaluate factors associated with adoption and effectiveness of introduced improved Enset processing technologies. The result of the study showed that factors such as training, the high cost of stainless steel, improper system in Government and non-governmental mechanization to support the users, the absence of spare parts and maintenance service affected both adoption and effectiveness. Education status, land size, cost of processing technology were also factors that affected adoption of improved Enset processing technology. Participants who had primary education, adult education and higher education levels were more likely to adopt improved Enset processing technologies than illiterates. The participants who had land size greater than two hectares were more likely to adopt Enset processing technologies than those who had less than one hectare of land. Respondents who had training about improved Enset processing technologies were many times more likely to adopt improved Enset processing technologies than respondents who did not. There was a significant difference between decorticating and squeezing time among the respondents who had training compared with those who did not have. Mechanizing Enset production process could also enhance and improve the lifestyle of female farmers through extension of different technologies. Further studies should be conducted to improve the performance of the technologies based on factors and its adoption in the country at large.
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2023-12-01T00:00:00ZDEVELOPING AND APPLING A COMPUTER PROGRAMME TO EVALUATE FIELD MACHINERY MANAGEMENT SYSTEM AT KESSEM SUGAR ESTATETESFAYE GELAN GEBREWOLDAdesoji M. Olaniyanhttp://ir.haramaya.edu.et//hru/handle/123456789/69202023-11-23T06:18:20Z2023-11-01T00:00:00ZDEVELOPING AND APPLING A COMPUTER PROGRAMME TO EVALUATE FIELD MACHINERY MANAGEMENT SYSTEM AT KESSEM SUGAR ESTATE
TESFAYE GELAN GEBREWOLD; Adesoji M. Olaniyan
Agricultural machinery management system plays a great role in today's farming because of its
importance in making a profitable farm return. But, in Kessem Sugar Estate, farm machinery
management systems are poorly developed and lacks automation; the majority of machinery
management work is done manually. This manual data processing hinders standard enforcement
and quality in farming activities. As a result, this study was conceived with aim to investigate field
machinery management system at Kessem Sugar Estate. The objective of the study was to develop
and apply an appropriate computer programme system for the evaluation and improvement of
field machinery management system at Kessem Sugar Estate. To achieve this objective study,
interviews, observations, and semi-structured questionnaires were used to collect data on Estate
during the growing seasons of 2018/19, 2019/20, and 2020/21. Data obtained were analyzed using
one way ANOVA at the significant level of 0.05. An agricultural machinery management system
was developed. The result indicated that 38.44% of farm machinery was at good working condition
while 35.44% was in bad working condition. The average calculated fuel and oil costs were
greater than the actual fuel and oil costs by 58.44, 61.64, 58.19, and 77.75% during the three
growing seasons for tractor and heavy-duty machinery, respectively. The calculated repair and
maintenance costs, were lower by 64.95 and 58.45% during the three seasons for tractor and
heavy-duty machinery, respectively. In addition to this, the study indicated that the ownership costs
were 73.46 and 26.53 %, of the overall costs, respectively. It can be concluded that the farm
machinery management system practiced in the Estate is poor. Hence, improvement is required in
the areas of data collection and proper recording. Maintenance, repair, fuel and oil costs must be
need to be recorded properly. Improving workshops capacity and capability, and training
mechanics and operators to develop skill is the order of the day. Generally, it is important to
improve the farm machinery management system at Estate
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2023-11-01T00:00:00ZASSESSMENT OF FARM MACHINERY MANAGEMENT AND COST ANALYSIS: A CASE OF METAHARA SUGAR ESTATEBalcha, AsnakeProf. Adesoji M. Olaniyan, Prof. Adesojihttp://ir.haramaya.edu.et//hru/handle/123456789/44462021-11-01T12:31:13Z2021-02-01T00:00:00ZASSESSMENT OF FARM MACHINERY MANAGEMENT AND COST ANALYSIS: A CASE OF METAHARA SUGAR ESTATE
Balcha, Asnake; Prof. Adesoji M. Olaniyan, Prof. Adesoji
Factories which are producing sugars have so many types of agricultural machinery that are used for cultivation, applying fertilizer, harvesting cane, transporting of cane from the field and etc. These types of machinery play a great role to prepare inputs for the estate. But, different types of machines in the estate were dropped and many of them became scrap. Some of the machineries are failing frequently and high downtime. The objective of the study was to assess the present status of the agricultural machinery management system in Metahara Sugar Estate. In order to achieve the objective of this study, different methods were used. Data were collected through personal communication with managers, agricultural engineers, operators and mechanics containing information about currently active and purposes of tractors and implements. In addition, Data of farm machinery during the years 2015/16, 2016/17 and 2017/18 in terms of individual farm machinery costs; types and number of machinery; machinery specification; field data; rates of work; and power requirements were collected. Data obtained were analyzed using two and one way ANOVA, as the replications permit. Where differences between means were significant at the level of 0.05, Duncan’s Multiple Range mean separation test was used for making a comparison. Results showed that the calculated costs were greater than the actual costs by 64.77% for tractors and 62.62% for implements in the three years. The study suggested that the effect of the rate of work for different implements has no significant difference on the implements rate of work (P> 0.05) and the calculated rates of work (ha/hr) were greater than the actual ones (ha/hr) by 49.26%. The study found that 77.78% of the farm implements in the estate were compatible with the tractors in regard to power demand, while 22.22% of them were not. The study concluded farm machinery cost management needs attention especially for cost items like depreciation, fuel and oil and repair and maintenance as well as, implement power requirement and its compatibility with power sources. Therefore, it is very important to properly record all necessary data related to machinery management to improve the management system
107p.
2021-02-01T00:00:00ZASSESSMENT OF FARM MACHINERY MANAGEMENT AND COST ANALYSIS: A CASE OF METAHARA SUGAR ESTATEBalcha, AsnakeProf. Adesoji M. Olaniyan, Prof. Adesojihttp://ir.haramaya.edu.et//hru/handle/123456789/37142021-06-10T08:24:25Z2021-02-01T00:00:00ZASSESSMENT OF FARM MACHINERY MANAGEMENT AND COST ANALYSIS: A CASE OF METAHARA SUGAR ESTATE
Balcha, Asnake; Prof. Adesoji M. Olaniyan, Prof. Adesoji
Factories which are producing sugars have so many types of agricultural machinery that are used for cultivation, applying fertilizer, harvesting cane, transporting of cane from the field and etc. These types of machinery play a great role to prepare inputs for the estate. But, different types of machines in the estate were dropped and many of them became scrap. Some of the machineries are failing frequently and high downtime. The objective of the study was to assess the present status of the agricultural machinery management system in Metahara Sugar Estate. In order to achieve the objective of this study, different methods were used. Data were collected through personal communication with managers, agricultural engineers, operators and mechanics containing information about currently active and purposes of tractors and implements. In addition, Data of farm machinery during the years 2015/16, 2016/17 and 2017/18 in terms of individual farm machinery costs; types and number of machinery; machinery specification; field data; rates of work; and power requirements were collected. Data obtained were analyzed using two and one way ANOVA, as the replications permit. Where differences between means were significant at the level of 0.05, Duncan’s Multiple Range mean separation test was used for making a comparison. Results showed that the calculated costs were greater than the actual costs by 64.77% for tractors and 62.62% for implements in the three years. The study suggested that the effect of the rate of work for different implements has no significant difference on the implements rate of work (P> 0.05) and the calculated rates of work (ha/hr) were greater than the actual ones (ha/hr) by 49.26%. The study found that 77.78% of the farm implements in the estate were compatible with the tractors in regard to power demand, while 22.22% of them were not. The study concluded farm machinery cost management needs attention especially for cost items like depreciation, fuel and oil and repair and maintenance as well as, implement power requirement and its compatibility with power sources. Therefore, it is very important to properly record all necessary data related to machinery management to improve the management system
107p.
2021-02-01T00:00:00Z