AMA, Agricultural Mechanization in Asia, Africa and Latin America (AMA) (issn: 00845841) is a peer reviewed journal first published online after indexing scopus in 1982. AMA is published by Farm Machinery Industrial Research Corp and Shin-Norinsha Co. AMA publishes every subjects of general engineering and agricultural engineering. Shenyang Jianzhu Daxue Xuebao (Ziran Kexue Ban)/Journal of Shenyang Jianzhu University (Natural Science) General Medicine (ISSN:1311-1817) Chinese Journal of Evidence-Based Medicine Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Lizi Jiaohuan Yu Xifu/Ion Exchange and Adsorption Kexue Tongbao/Chinese Science Bulletin Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University
AMA, Agricultural Mechanization in Asia, Africa and Latin America (ISSN: 00845841) is a peer-reviewed journal. The journal covers Agricultural and Biological Sciences and all sort of engineering topic. the journal's scopes are in the following fields but not limited to:
The purpose of this study was to determine the effects of use of petroleum diesel (D100) and biodiesel (B100) fuel blends compared to pure diesel on the engine performances of a farm tractor with a tillage implement in field. The experiments were conducted on a tractor engine using a blend of biodiesel and petroleum diesel in the ratio of 20, 50, 80 and 100 % of biodiesel in the blends. The tractor performed with each blend doing standard tillage in field spots of 2500 m2 with three repetitions. The specific fuel consumption improved as percentage of biodiesel increased in the blend, obtaining a minimum of 0.0966 (L/kWh) for Biodiesel Alone B (100). While the energy efficiency in the usage of fuel by the tractor decreased as the percentage of biodiesel in the blend was increased, showing a maximum value of 104.9 % for a 20 % of Biodiesel in the blend, with respect to the Diesel fuel (D100), whose efficiency was considered being 100 % as a referential value.
The purpose of this study is to analyze the problem of management of natural- anthropogenic complexes of rural territories in the context of the post-non-classical type of scientific rationality at the philosophical and methodological levels. The problem of management of natural-anthropogenic complexes is considered and analyzed in the article at the philosophical level in the context of the humanistic interpretation of philosophical constructivism. At the methodological level, the management of natural-anthropogenic complexes of rural territories is considered in the basic paradigm “subject – metasubject”, in which a natural-anthropogenic complex is presented in the form of a self-developing environment, an integrated study of which is possible only using an interdisciplinary approach.
Irrigation plays an imperative role in agriculture production and productivity growth. The present study is an attempt to realize the goal of assessing impact of small scale irrigation project on rural household’s income. It was conducted on Kashu irrigation project located at Shey Bench district, Southwest Ethiopia. A Cross-sectional data was collected from 264 households (128 irrigation users & 136 non-irrigation users) of Bata Kebele of the district for estimating the results using econometric models. To this end, several variables were used to determine household’s probability of participation in irrigation use. The decision to participate in irrigation was significantly influenced by irrigation experiences, frequency of extension contact, access to credit services, distance to nearest market and training access. The estimated results via propensity score matching (PSM) estimation technique indicated that the average income of irrigation user’s household is significantly higher than nonusers by birr 2460.70 (US dollar 70.40) per year. Our analysis also shows that the Radius (Caliper) matching with a bandwidth of 0.25 is considered as best estimator for quality matches based on the criteria of (balancing test=12, pseudo-R2 = 0.065 and matched sample size=226). Based on these findings, it is recommended that strong markets infrastructure; better extension service, effective farm training system may have the potential to attract the farmers in to the irrigation project.
Design of mufflers is a complex function that affects back pressure, noise characteristics, emission and fuel efficiency of engine. Back pressure caused by exhaust system has negative effect on engine efficiency, resulting in decrease of power. Muffler to be design in such a way that the back pressure should be optimum and it should not disturb the subsystem operations. Hence, goal of this paper was to shorten product development cycle time through back pressure optimization. There are number of formulas for back pressure and each formula gives different result. So, to minimize the number of iteration to finalize any one of the back pressure formula, CFD analysis was performed. For validation of the back pressure theoritical formula and CFD result, simple pipe flow calculation and CFD analysis has been performed, so that at least maximum error percentage can be predict. By comparision of all three formula results with CFD analysis and experiment value have been tabulated to find error percentage. The target of the project work was to get error % of CFD and Theoretical formula to get below 15%. The minimum and the best result came for formula II that is taken up by benchmarking company’s installation guide of exhaust system for which error % was 14%. This paper gives prediction of back pressure value during its preliminary stage of design.
A field experiment was carried out at Regional Research Station, Bawal (Rewari), CCS Haryana Agricultural University, Hisar, Haryana (India) during kharif season 2018 to study the effect of mechanized weed management in rainfed cluster bean (Cyamopsis tetragonoloba L.). The major weeds in the field were Cyperus rotundus, Digera arvensis, Trianthema portulacastrum and Eragrostis spp. The weed density and dry matter accumulation of weeds was significantly reduced by mechanized weed control methods than manual. Higher weed control efficiency was recorded under T6 (94.1%) and T5 (90.9) over T1 (16.0 %) and T2 (2.45 %) respectively. Two simultaneous mechanized interculture (at 20 and 35 DAS) with power weeder (T6) and tractor drawn cultivator (T5) under row spacing of 60 cm were found superior to recommended manual weeding once either with kasola (T1) or wheel hand hoe (T2) performed at 27 DAS under 45 cm row spacing.