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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
28 May 2022 (Vol - 53 , Issue- 06 )
Upcoming Publication
31 May 2022 (Vol - 53 , 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:

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
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

Productivity of oat (Avena sativa L.) with different methods of cultivation on soddy-podzolic soils

Paper ID- AMA-25-08-2021-10649

Research results on study of the influence of different methods of cultivation on performance of oat on soddy-podzolic soils under the conditions of the Eastern Carpathian Foothills of Ukraine are given. Plowing to a depth of 20-22 cm and 14-16 cm has been established to form the highest yield of oat grains at the level of 3.5-3.45 t/ha, which is 0.2-0.15 t/ha more than surface tillage. Maximum protein content has appeared to be when plowing the soil to 20-22 cm - 9.7%. Herewith, natural weight of oat grains decreased by 1.9%, and hull content increased by 3.6 relative percent compared to disk plowing.

Comparative Economic analysis of Laser land levelling vis-à-vis Conventional land levelling in Sirsa District of Haryana

Paper ID- AMA-25-08-2021-10648

A parallel comparison between laser land levelling (LLL) and conventional land levelling (CLL) was conducted to quantify economic benefits of laser land levelling. Cotton-wheat cropping pattern of Sirsa district of Haryana was investigated to achieve stated objective. Sirsa district was selected on the basis of highest area under cotton-wheat cropping pattern. Various concepts of cost and Returns were utilised to evaluate economic profitability of laser land levelling. Total costs were found higher in case of cotton and wheat CLL (Rs.97127 and Rs.80130) as compared to LLL (Rs.95744 and Rs.78805) respectively. While, net returns for cotton and wheat was found on higher side in case of LLL (Rs.13361 and Rs.35641) than CLL (Rs.10515 and Rs.25927) respectively. Higher B-C ratio for cotton and wheat under LLL (1.15 and 1.41) than CLL (1.11 and 1.32) respectively shows economic profitability of laser land levelling as a resource conserving intervention.

Mining Regular High Utility Item sets Using Efficient Pruning Techniques From Incremental Databases

Paper ID- AMA-25-08-2021-10647

High utility itemset mining is the process of producing itemsets that generate high profits. Mining regular high utility itemsets are to discover all high utility itemsets that appear regularly in static databases. In some real-world applications, the itemsets' occurrence behavior may be changed significantly by inserting new transactions into the original database. Regular high utility itemsets mining methods for static databases cannot be applied to incremental databases. An efficient method called RHUINC miner (Regular High Utility Itemset mining for the incremental database) is proposed for discovering regular high utility itemsets from incremental databases. It uses uList structure to avoid the creation of unpromising itemsets. Using uList, it can maintain the itemsets information and provide efficient strategies to generate regular high utility itemsets. Experimental results show that the proposed algorithm is efficient in terms of runtime and memory utilization.

Explore the current situation and development trend of China's straw power generation industry

Paper ID- AMA-25-08-2021-10646

China's crop straw scale power generation industry is still in the initial development stage. In recent years, China has attached great importance to the development of biomass energy and issued a series of industrial technology policies to promote crop straw and power generation. Based on the foundation and characteristics of the current development of China's straw power generation industry, this study combs and analyzes the current policy situation focusing on laws, regulations, technical specifications, economic policies and other aspects, and makes it clear that the straw scale power generation industry market is still in the stage of continuous expansion during the 13th Five-Year Plan and even longer, cogeneration is the national key support direction, the profit level of the industry is continuously improved, and the requirements of industry supervision and environmental protection will be continuously tightened.

Preparation of Fish Ham Using Low Value Fish by mixing Red Meat of Tuna Chunks and its Quality Attributes

Paper ID- AMA-24-08-2021-10644

The fish and fishery products represent an excellent option as a major source of nutrients. The consummation of fish is compatible with the reduction of various diseases. The objective of the current study was to prepare the ham using low-value fish mixing with red meat of tuna chunk and its proximate composition and sensory attribute. The low-value fish bull's eye and Tuna were collected from the Mangalore landing center. The preliminary quality of raw material was analyzed. Fish ham was prepared by mixing fish paste and cured tuna cubes (60:40). The obtained results for the preliminary quality of raw material showed that all the biochemical, microbiological parameters were within an acceptable range and raw material was fit for the preparation of Fish ham. The results of proximate composition revealed that the fish ham is a good source of protein, fat, and ash contents that are required in human diets. The result of the sensory score of the sensory attributes overall acceptability showed 8.50 from the 9.00 hedonic scale which indicates the excellent results from the human acceptability point of view. The current study developed the process protocol of fish ham preparation using low-value fish underutilized and fetched a low price in the market.