WOS Indexed (2023)
clarivate analytics

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. 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 Kongzhi yu Juece/Control and Decision Zhenkong Kexue yu Jishu Xuebao/Journal of Vacuum Science and Technology Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) Zhonghua yi shi za zhi (Beijing, China : 1980)

Submission Deadline
29 May 2023 (Vol - 54 , Issue- 06 )
Upcoming Publication
31 May 2023 (Vol - 54 , Issue 05 )

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:

Agricultural and Biological Sciences
Electrical Engineering and Telecommunication
Electronic Engineering
Computer Science & Engineering
Civil and architectural engineering
Mechanical and Materials Engineering

Back-Propagtion Neural Neural Network controller for Two-Mass System

Paper ID- AMA-10-08-2021-10596

The purpose of this paper is to present the design, the math model, the result simulation, and discussion of a back-propagation neural network (BB-NN) for a two-mass system. The aim is to controller design simply and control the actual angular speed matching with the reference angular speed, lead to reduces the resonance oscillation at shaft between motor and load. BP-NN controller is designed based on the backward propagation of errors and training artificial neural networks are used in combination with an optimized method as gradient descent. This method calculates the gradient of the loss function with all the relevant weighting in the neural network. This gradient is fed into the optimization method, which uses it to update the weights, to minimize the loss function. The efficiency of the BB-NN control method is verified by HIL real-time simulation.

An Evaluation of Turkey’s Renewable Energy Using WASPAS, Fuzzy TOPSIS and MULTIMOORA Methods

Paper ID- AMA-10-08-2021-10594

Energy is currently one of the most fundamental resources that countries need for economic and social development. Energy needs are increasing day by day as a result of increasing population, global growth and industrialization. However, fossil fuels used to meet this increasing energy demand are gradually decreasing. Therefore, it is necessary for countries to benefit from clean, cheap and easily available energy resources in order to compete economically. For this reason, Renewable Energy (RE) sources are widely used today as an alternative to traditional energy sources. Consequently, multi-criteria decision-making methods have been used in this study to evaluate criteria, such as the availability of renewable energy resources in Turkey, initial installation costs, continuity and efficiency, together. The multi-criteria decision making methods used in this study were WASPAS, Fuzzy TOPSIS and MULTIMOORA, which have frequently featured in published literature over recent years. It is aimed to give Turkey to a more sustainable future in this area by focusing on the evaluation of renewable energy sources. The study is intended to be a valuable resource for renewable energy scientists and for future studies.

Reading Behaviour of Farmers in Sonipat District (Haryana), India

Paper ID- AMA-10-08-2021-10590

Agricultural modernization is possible when farm innovations are disseminated and reached effectively to its stakeholders through various communication media and channels. Print medium has great potential to change attitude and skills about new agricultural technology among farming community and motivating farmers to adopt new innovations. India had realized the power of printed media for the benefit of farming community. The use of print media as a potent source of information depends on the reading behavior of farmers. Therefore, present study was conducted using survey method in the state of Haryana with a sample size of 120 farmers to know the various dimensions of reading behavior in response to selected farm magazines and newspapers. The study revealed that majority of the farmers had low to medium level of reading behavior status with regard to farm magazines and newspapers. As far as awareness regarding name, more number of farmers were aware about the name of ‘Haryana Kheti’ and ‘Krishi Sanvad’ published by CCSHAU, Hisar and Information and Public Relations Department, Haryana, respectively, ‘Dainik Jagran’, ‘Dainik Bhaskar’, ‘Hari Bhoomi’ and ‘Punjab Keshri’ were found popular among farmers and few farmers were found aware about the newspaper ‘Kheti Duniya’, which exclusively publish agricultural and development news. The majority of farmers did not preserve farm information, however, they simply memorized and discussed it with fellow farmers and family members. All the personal and socio-psychological attributes except age were found to have positive correlation with the reading behavior of the farmers under study.

Trends in Area, Production and Productivity of Major Pulses in India

Paper ID- AMA-09-08-2021-10587

In this paper, the investigation is strived to examine the growth trend of major pulses in India. The study is conducted on Bengal gram, Black gram, Pegionpea, Chickpea and Green gram for the 1990- 2020 periods. The total duration of 30 years is divided into three decades to know the in-depth decadal growth of the area, production, and productivity. For the above period, the average compound growth rate (CGR) in major states for Bengalgram as 2.82, 1.34, and 3.5, for Black gram -0.69, 0.53, and 0.215, for Pegionpea 0.65, 1.29, and 0.61, for Chickpea 1.27, 0.96, and 0.74, and for Green gram -0.71, 0.55, and 0.116 is observed in the area, production, and productivity. Decadal growth also approximately reflected similar trend for all the major pulses. Low productivity and low net return are minimizing the profit in this highly remunerative crop.

Population genetic structure of the pink anemonefish, Amphiprion perideraion, in Vietnam: Implications for fishery management

Paper ID- AMA-09-08-2021-10586

Pink anemonefish (Amphiprion perideraion) has commercial value as a popular aquarium fish and due to its collection from the wild there are concerns for the conservation of the species. Six polymorphic microsatellites were used to reveal population genetic structure of pink anemonefish from three locations (Quang Nam, Khanh Hoa – Ninh Thuan and Phu Quoc) in Vietnam. Analyses showed evidence for high levels of gene flow among populations sampled from the South China Sea (FST = 0.008, P > 0.05). Genetic homogeneity of A. perideraion in this region is likely due to the oceanographic-driven interaction of pelagic larvae in central waters off Vietnam. In contrast, strong genetic structure was evident among the South China Sea and Gulf of Thailand populations (FST = 0.131 – 0.146, P < 0.01). This high genetic differentiation between the South China Sea and Gulf of Thailand populations suggests that the sustainable management of this species in Vietnam needs to be enacted according to indigenous need as a two separate stocks.