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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 Sep 2022 (Vol - 53 , Issue- 10 )
Upcoming Publication
30 Sep 2022 (Vol - 53 , Issue 09 )

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

Regulation of technological load on soils

Paper ID- AMA-25-08-2021-10651

The article considers the justification of the feasibility of using technological normatives to regulate the load on soils and eliminate their degradation, energy assessment of the impact of agricultural machinery, agronomic measures and technology in crop production on the indicators of structural and aggregate, humus and biological activity of soil. In the conditions of stationary experiment in the Right-bank Forest-steppe of Ukraine it is revealed that more than 60 years of use of meadow-chernozem soil under traditional system of cultivation with use of shelf plowing and various fertilization options: P60, P60K60, N90P60K60, N135P90K90 in 10-field crop rotation (clover, winter wheat, sugar beet, corn for silo, spring wheat, green peas, winter wheat, sugar beet, corn for grain, barley with clover) with did not significantly worsen any of the parameters of agrophysical and humus state, biological activity, quantitative and species composition of the microbiological pool. On the basis of the conducted researches the conceptual mathematical model of iteration, degradation of soil for soil protection systems of agriculture estimation is developed. Soil agrophysical indicators have different informativeness and different sensitivity. The sum of elementary soil particles and water resistance of aggregates by weighted average diameter, the amount of non-aggregated clay change quite easily under the influence of tillage, while the sum of water-resistant aggregates (> 0.25 mm), Bever and Roades aggregation coefficient and total clay content remain weakly sensitive. The humus content is the main indicator that determines the potential fertility of the soil. The newly formed "young" fractions (primarily labile humus) are the most sensitive to changes in cultivation technology, in contrast to the content of total humus. The guarantor of the quasi-stable humus state is the stability of the agrophysical framework of the soil system and the harmony of the microbiological pool, the quantitative and species composition of which determine the balance of the processes of synthesis and mineralization of humus. Energy assessment of technologies for growing crops in long-term field experiments allowed to determine technological normatives (Tn - the ratio of energy of crop residues to energy of fuels and fertilizers, the reduction of which begins soil degradation): for meadow- chernozem soil - 8.6.

Fodder productivity of different meadow clover varieties depending on the elements of growing technology

Paper ID- AMA-25-08-2021-10650

The article presents the results of research for 2018-2020 concerning formation of fodder productivity by the dry mass outcome of meadow clover different varieties per 1 ha depending on the methods of sowing on different backgrounds of fertilizers on typical low-humus black soils of Forest-steppe of Ukraine. On average, in the first three years of life and usage, meadow clover provides productivity of dry mass outcome per 1 ha - 8.22-9.88 tons, which depends little on sowing methods. When inoculating seeds with nodule bacteria in combination with application of fertilizer in the doze of N60P60K90 the productivity increases by 8-12% comparing to the variant without fertilizers. And, with separate application of fertilizers (Р60K90 or N60P60K90) or inoculation of seeds on the background without fertilizers the productivity increases only by 4-6%. Among fertilizers, the highest payback from 1 kg of fertilizer (6-7 kg of dry mass) is provided by application of N60 on the background of Р60K90. In the first year, sowing under the cover of spring barley provides 22-25% higher productivity than uncovered sowing, and in the second and the third years, uncovered sowing provides 7-10% higher productivity than sowing under the cover of spring barley. The most productive variety is Typhoon, which is 0.10-0.66 t/ha of dry mass superior to the varieties Lybid and Tina. Fertilizer factor is the most influential by dry mass outcome per 1 ha, and in the first year - the method of sowing with a share of 55%.

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.