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AMA, Agricultural Mechanization in Asia, Africa and Latin America

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.

Submission Deadline
03 Jul 2022 (Vol - 53 , Issue- 07 )
Upcoming Publication
31 Jul 2022 (Vol - 53 , Issue 07 )

Aim and Scope :

AMA, Agricultural Mechanization in Asia, Africa and Latin America

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
Agricultural and Biological Sciences
Electrical Engineering and Telecommunication
Electronic Engineering
Computer Science & Engineering
Civil and architectural engineering
Mechanical and Materials Engineering
Transportation Engineering
Industrial Engineering
Industrial and Commercial Design
Information Engineering
Chemical Engineering
Food Engineering

Design, Development and Performance Evaluation of a Coconut Dehusker

Paper ID- AMA-24-09-2021-10739

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%.

Estimation of Switching Loss for Boost DC – DC Converter Using Neural Networks

Paper ID- AMA-23-09-2021-10737

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 harvesting methods: A critical overview

Paper ID- AMA-23-09-2021-10736

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.

Physical, functional and structural properties of alfalfa leaf powder with different particle size

Paper ID- AMA-22-09-2021-10735

Alfalfa is considered nutritious and beneficial for human health, but it is widely used as animal feed. To develop alfalfa functional food, this study investigated the physical, functional and structural properties of alfalfa leaf powder with particle sizes ranging from 0.063–0.250 mm. The brightness, solubility, and enzyme inhibitory activity of alfalfa leaf powder increased, as the particle size of powder decreased from 0.200-0.250 mm to 0.063-0.08 mm. The angle of repose, compressibility, transition temperature, and melting temperature were the lowest (41.37°, 15.63%, 79.00℃, and 160.54℃ respectively), the swelling index was the highest (4.39 mL g-1), when the particle size of powder ranged from 0.125–0.160 mm. Further analysis of the microstructure showed that the surface roughness, the number of hydroxyls and the crystallinity index decreasing, as the particle size of powder decreased from 0.200-0.250 mm to 0.063-0.08 mm. Results showed that the particle size of alfalfa leaf powder ranging from 0.125–0.160 mm is more convenient to process and prevent obesity, smaller size is more beneficial to prevent hypertension and aging.

Automatic Hand Gesture Recognition using Support Vector Machine

Paper ID- AMA-21-09-2021-10734

The prehistoric cavemen‟s earliest form of communication was gesture. Human civilization has progressed to a point where verbal communication is quite well developed. On the other hand, nonverbal interaction has not lost its importance. Nonverbal interaction is not utilized only for physically handicapped people but also for a variety of uses like variety of fields, including aviation, surveying and music. It is the most effective way to communicate with the computer without the usage of other devices like keyboard or a mouse. Researchers all over the world are working on developing a reliable and well-organized gesture identification system, particularly hand gesture identification, for a variety of applications. Data collecting, gesture modelling, feature extraction, and hand gesture identification are the primary phases involved in hand gesture recognition system. With the processes listed above, there are various sub steps and approaches. Researchers have used a variety of algorithms or created their own. The current study effect examines the work done over previous two decades and makes a quick comparison to understand the problems and limitations that these systems face. Finally the properties of a reliable and efficient hand gesture system were defined.