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.
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:Azerbaijan Medical Journal Gongcheng Kexue Yu Jishu/Advanced Engineering Science Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery Interventional Pulmonology
In this paper, a study on optimizing electrical discharge machining (EDM) when processing cylindrical shaped parts of stainless steel SS304 to achieve minimum surface roughness (SR) was introduced. To solve the optimization problem, an experiment was designed and performed. Besides, the Taguchi method in the Minitab R19 software was used to design the experiment and analyze the results. In addition, the influence of the input process parameters, including the pulse on time, the pulse off time, the servo current, and the servo voltage on SR was investigated. Furthermore, the optimal input factors of the EDM process for minimum SR were found.
The study was carried out in three markets of Imphal west district and two markets of Bishnupur district due to having the traditional knowledge of dry fermented fish predominantly a total of 120 respondents were randomly selected the fish marketing enterprise in these areas is slightly dominated by the females in the study area. The income range of 41.67 per cent of the business falls annually in the range of ₹ 3 to 7 lakhs. Total three marketing channels involves for transferring dry fermented fish to the ultimate consumers. The total marketing cost, marketing margin and the price spread was found to be highest in channel-I with ₹ 15, ₹ 65 and ₹ 80, respectively; out of the total 75.00 per cent sold of fish including dry fermented fish and 91.67 per cent of the marketers maintained that fish supply is very regular, while most of the respondents (90.00 per cent) found as an profitable venture. During the market conduct cent per cent of the respondents get information on market situation through personal contact, even the buyers shows that majority (61.67 per cent) arrived through haggling, whereas 55.00 per cent said prices were fixed by both the sellers and the agents. The constraints are transportation, lack of storage facilities, breakage / leakage of pots, presence of exploitative middlemen etc, It is recommended that local fish marketers should be organized into co-operative groups and government should adequately provide good market facilities to improve market efficiency to reduce the marketing cost.
India is one of the leading producers of coconut in the world. Dehusking is the primary post-harvest operation done in coconuts to remove the husk from the nut and it is a laborious process, which adds to the cost of production in the coconut processing industry. A study was undertaken to develop a coconut dehusking machine for easy and effective removal of husk from coconut without causing much damage to the nut. For the development of coconut dehusker, various required engineering properties of matured coconuts viz., average dimensions such as length of 200 mm, diameter of 145 mm, husk thickness of 33 mm at pedicel end, 22 mm at both centre and apex ends were determined. The average moisture content of green coconuts was observed as 45.6 % (w.b.) and the shell diameter of the dehusked green coconuts as 89 mm. The maximum husk penetrating force for matured green and dry coconuts were observed as 166 N and 196 N, respectively at a thickness of 33 mm. also, the maximum husk separating force was determined as 430 N and 520 N for green and dry coconuts respectively. A coconut dehusker was developed based on the principle of exerting shear force by the rotating roller blades to cause tearing effect over the husk surface. The effective dehusking was achieved when the roller speed of 18 rpm was found to be suitable for both green and dry coconuts of various sizes with the maximum dehusking efficiency of 97%.
This paper suggests the suitable network model in machine learning to estimate the switching power loss for the DC-DC converter. A boost converter topology is selected to compare the suitable network model based on their performance. Unlike traditional simulation approach, empirical formulae-based prediction approach is used to estimate the switching loss of power MOSFET. To obtain the data set, three variable parameters such as switching frequency, duty ratio, load resistance for fixed input voltage is considered. Four different network models namely Feed Forward Back Propagation, Cascaded Forward Back Propagation, Layer Recurrent and Elman Back Propagation network models are compared to obtain the accurate predicted value of switching loss of the converter.
Pulse is an important field crop of India. It is grown throughout the year because of favorable agro-climatic conditions. Pulses contain high-quality protein, which complements cereal proteins for the primarily vegetarian population of the country. India is the international leader in the production and consumption of pulses; however, there is a demand-supply gap. To reduce this gap and to meet the pulse demand of the country, the major emphasis is given to increase domestic production as well as reducing field losses, and efficient post-harvest management. A major loss in the field occurs before or during the harvesting operations. Therefore, the selection of the right method of harvesting plays a very important role in pulse cultivation. In developing countries, pulse crops are being harvested mostly manually using hand-cutting tools like knife, sickle, scythe, cutters while harvesting is usually done by combine harvesters and self-propelled pulse harvesters in the developed countries. Harvesting operation is labor-intensive, time-consuming, expensive, and involves drudgery when carried out manually. The cost of manual pulse harvesting operation alone accounted for 50–55% of the total cost of cultivation. Though the mechanization level of harvesting and threshing is 25% for grams, it is negligible for other pulse crops in India. To overcome the drudgery associated with manual harvesting, increasing cost of farm labor, and unavailability of farm labor during the harvesting period, suitable mechanical harvesting is the only option left for viable pulse cultivation. This article reviews different methods for pulse harvesting with emphasis on mechanization scenario in pulse harvesting.