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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. 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 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
10 Feb 2023 (Vol - 54 , Issue- 02 )
Upcoming Publication
03 Feb 2023 (Vol - 54 , Issue 01 )

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

Municipal Solid Waste Management Issues, Policies and Plan Strategy in Nigeria

Paper ID- AMA-10-08-2021-10600

Over the years, municipal solid waste management is a major problem in Nigeria. This problem is glaring in most cities where several municipal solid wastes of various dimensions are dump illegally without treatment. Beside the wide spread, illegal disposal and open dumping which has been the practice, landfills in Nigeria are in a dilapidated condition and suffer neglect due to the absence of authority support, and therefore need to be close. Solving these issues alongside the upgrading or the establishment of new landfills remain a problem. A review was performed from previously published studies, and keywords municipal solid waste management, policy implementation, plan strategy was applied from the database of Science Direct, Sage, Public Health, resulting to the selection of 138 scientific papers. A careful examination of the abstract led to the selection of 109 original papers. Only peer reviewed scientific papers published in English over the last 21 years (1998-2019) were considered for the review. Onsite visit to some selected landfills were also carried out for a period of two years (2017- 2019) to ascertain the condition of the landfills. It has been observed that most of the landfills are not in operational. The results show that population increased more rapidly, which aggravated waste problem. Approximately, 45% of the population live in cities and produce about 41,000 tonnes of MSW on daily basis, which is roughly 0.56kg/capita/per/day. Moreover, the study revealed that changes in municipal solid waste management policies have taken place over the past decades, and with the subsequent establishment of the Federal Environmental Protection Agency to supervise the regulations of the Environmental Act. These policies also brought about the implementation of privatization to reduce the problem of solid waste, recognizing the effects of MSW as a key challenge in Nigeria, the policy and plan strategy outline goals to be achieve, and this involve general waste collection, waste management, recycling, waste minimization, capacity building, education and awareness campaign as the major intervention. However, the major challenges hindering the effective MSW management is lack of policy implementation, poor funding, lack of trained waste workers and absence of efficient working tools among others. The study recommends the implementation of a well-equipped and control landfill under special supervision of waste management personnel to regulate the illegal activities in the sites. This review will help policy makers and decision makers involved in municipal solid waste management to understand the present issues, challenges and obstacles for efficient municipal solid waste management.

Present status of chickpea Fusarium wilt caused by Fusarium oxysporum f. sp. ciceris

Paper ID- AMA-10-08-2021-10599

Fusarium wilt incited by Fusarium oxysporum f. sp. ciceris is one of the important fungal diseases of chickpea responsible for causing substantial yield losses. This paper summarizes the plethora information available on Fusarium wilt of chickpea in regard to history, geographical distribution, symptomatology, disease epidemiology and various management tactics viz., chemical, plant extracts, biological along with future prospects.

Tetrodotoxin in xanthid crab Demania reynaudii implicated to poisoning in Vietnam

Paper ID- AMA-10-08-2021-10598

A severe poisoning case with typical paralysis symptoms was reported in Tinh Gia District, Thanh Hoa Province, Vietnam on 27 March 2021 by consumption of some marine crabs. Two specimens as remaining suspected poisonous food were collected for toxin analysis. Based on recorded poisoning symptoms, tetrodotoxins and saxitoxins in crab specimens which identified as belonging to Demania reynaudii were examined in HILIC/MS-MS. As result, TTX (14.02 and 14.80 g/g), 4epi-TTX (3.40 and 7.12 g/g) and Anh-TTX (40.00 and 55.75 g/g) was detected in the extracts from two specimens. Toxicity in the specimens (174.6 and 194.5 MU/g) were much higher than consumption level for TTXs (10 MU/g) suggested in Japan. A consumption of 2 big specimens (137 g b.w.) or 5 small ones (71.2 g b.w.) containing these toxicity was enough to cause poisoning even fatal for human. It is indicated that xanthid crab D. reynaudii is not safe for food. The present study confirmed TTX was toxin implicated to poisoning by consumption of D. reynaudii in Tinh Gia District, Thanh Hoa Province on 27 March 2021, and it was the first report about this TTX bearing-crab species in Vietnam.

A comprehensive review on versatility of power tiller

Paper ID- AMA-10-08-2021-10597

The large number of farmers (86%) of India comes under small and marginal category. They cannot afford large size equipment like tractors and tractor drawn implements with their meagre income. On the other hand, power tillers are comparatively less costly and are versatile machines by which a large number of farm operations can be performed. It is simple in maintenance and operator can easily repair it on site without much skill. The external attachments are available or can be developed as per the nature of work. The power tiller is suitable in hilly regions particularly on bench terraces, small paddy fields with steep bunds, interculture and spraying operation in the crops with row spacing less than 1 m and in vegetable cultivation in plain region. On mountains, power tillers achieve better work performance and precise use than four-wheel tractors due to light in weight which suits for hilly territory. This study was conducted to generate a representative scenario of the status of the power tiller in India and analyze the research conducted regarding uses of power tiller in cultivation and other activities, suitability for hilly terrain, ergonomics perspectives and constraints in popularization of power tiller. The study reveals the versatility of power tiller to complete the farm operations, post disaster and agro-forest management related activities timely with increased production, productivity and reduced associated drudgery.

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.