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| Registros recuperados: 1.540 | |
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| aremu, olaniyi olateju; salami, ismaila olasunkanmi; Adetifa, Babatunde o; Onu, Livinus i; Adegbite, adeyemi E; olokoshe, abimbola a; Samuel, Taiwo Moses. |
| Work system and product design require anthropometric data of the user population relevant to the facility in order to have safe operation in service as well as increase user satisfaction and efficiency. Designing to fit gari-frying workers in each of the southwestern states in Nigeria is geared towards this end. The age, weight and twenty-five body dimensions of 120 gari-frying workers in Lagos, Ogun, Oyo, Osun, Ondo and Ekiti, selected by random sampling, were measured. The body dimensions include stature, shoulder height, sitting height, eye height, forward grip reach, buttock-popliteal height, buttock-knee length, knee height, thigh clearance, forearm-to-forearm breadth, waist depth, elbow rest height, knuckle height, elbow grip length, hip breadth,... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Ergonomics; Anthropometry anthropometry workstation gari-frying cassava processing design to fit BMI BSA. |
| Ano: 2016 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3403 |
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| DIXIT, JAGVIR; Namgial, Deldan; Sharma, Sushil; Lohan, Shiv Kumar; Kumar, Dinesh. |
| Abstract: The environment and resultant discomfort has severe impact on overall working efficiency of human and machine while using farm tools and machinery in hills. The Ladakh region of Jammu and Kashmir State of India is predominantly hilly. Anthropometric data of agricultural workers is very essential for the safe and efficient design of farm machinery. In the present studies, an anthropometric survey was carried out for agricultural workers of Ladakh region, wherein 90 male and female agricultural workers were selected and 79 body dimensions were precisely measured and recorded from each subject, thereafter analysed statistically. For making the data comprehensive and more useful, a set of 23 body dimensions, which are having direct implications... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Agricultural Engineering; Farm Power Machinery Anthropometric survey body dimensions agricultural workers tool design. |
| Ano: 2014 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/2794 |
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| abd el-aziz, mahmoud. |
| The inhibitory affects of different concentrations of high and low molecular weight of chitosan (CH-HMw and CH-LMw, respectively) and chitosan nanoparticles (CH-HMw-NPs and CH-LMw-NPs, respectively) against linear growth and spores/sclerotia germination of the 18 phytopathogenic fungi of tomato, potato and green bean were evaluated in vitro. The studies showed that CH-HMw-NPs and CH-LMw-NPs were highly effective against all tested pathogenic fungi compared with CH-HMw and CH-LMw. Furthermore, CH-HMw-NPs and CH-LMw-NPs at concentrations 0.1% and 0.05% showed completely inhibited (100%) the mycelial growth of all tested pathogens. Meanwhile, Chitosan HMw and LMw at 1.0% caused 100% reduction of all tested pathogenic fungi. Rhizoctonia solani and Fusarium... |
| Tipo: Info:eu-repo/semantics/article |
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| Ano: 2019 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/5425 |
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| Qasemi Kordkheili, Peyman; Amin Asoodar, Mohammad; Kazemi, Navab. |
| Due to good climate condition and large cultivation area in Mazandaran province of Iran, orchard commodities products, especially orange production is widely improved in this region. In this study, Data Envelopment Analysis (DEA) technique was used to analyze the efficiency of farmers, discriminate efficient orchards from inefficient ones and to identify wasteful uses of energy for orange producers in Sari region. Data were collected using face-to-face surveys from 86 orange orchardists and included the human power, machinery, diesel fuel, chemicals, fertilizer, farmyard manure, water for irrigation and electricity input sources used per hectare of orange production. The data was organized and analyzed by DEA Techniques. The results revealed that the... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Technical efficiency; Energy saving; Orange production; Sari. |
| Ano: 2014 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/2554 |
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| Azadbakht, Mohsen; Torshizi, Mohammad Vahedi; Ziaratban, Armin; Ghajarjazi, Ehsan. |
| In this study, at first the shear parameters including the maximum shear force, shear strength, shear energy and power consumption of canola stem were calculated through force-deformation curve; and then these mechanical properties were determined and predicted using artificial neural network. For the tests, testing machine Instron (Model Santam STM-5) with 50 N load cell was used. Stems were cut at 3 diameter levels (1 to 3, 3 to 5 and more than 5 mm), 3 cutting speed levels (75, 115 and 150 mm/min ), 3 cutting angles (0°, 30° and 60°) and three replicates. Cutting parameters including maximum cutting force, shear strength; cutting energy; consumed power and cutting work were examined. Tests lasted for each stem until the full cut. Data... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Canola; Cutting energy; Stem; Shear strength; Power consumption; Artificial Neural Network (ANN). |
| Ano: 2016 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3785 |
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| Taki, Morteza; Ajabshirchi, Yahya; Ranjbar, Seyed Faramarz; Matloobi, Mansour. |
| Artificial Neural Networks (ANNs) are biologically inspired computer programs designed to simulate the way in which the human brain processes information. After a comprehensive literature survey on the application of ANNs in greenhouses, this work describes the results of using ANNs to predict the roof temperature, inside air humidity, soil temperature and inside soil humidity (Tri, RHia, Tis, RHis), in a semi-solar greenhouse according to use some inside and outside parameters in the institute of renewable energy in East Azerbaijan province, Iran. For this purpose, a semi-solar greenhouse was designed and constructed for the first time in Iran. The model database selected beside on the main and important factors influence the four above variables inside... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Artificial Neural Networks; Semi-solar greenhouse; Multiple linear regression model; Iran. |
| Ano: 2016 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3672 |
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| Ghasemi Mobtaker, Hassan; Taki, Morteza; Salehi, Marzie; Zarei Shahamat, Ebrahim. |
| The nonparametric method of data envelopment analysis (DEA) was used to investigate the energy efficiency and CO2 emission of barley farm in Hamedan province of Iran. The method was used based on eight energy inputs including human labor, machinery, diesel fuel, fertilizers, farmyard manure, biocide, electricity and seed energy and single output of barley yield and technical, pure technical, scale and cross efficiencies were calculated using CCR and BCC models. The results showed that the average values of technical, pure technical and scale efficiency scores of farmers were 0.788, 0.941 and 0.833, respectively. Also, energy saving target ratio for barley production was calculated as 11.45%, indicating that by following the recommendations of this... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Data envelopment analysis; Energy saving; Barley; Chemical fertilizers. |
| Ano: 2013 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/2618 |
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