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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 and experiment of end effector of Citrus picking robot

Paper ID- AMA-26-08-2021-10654

Automatic picking of fruit and vegetable crops can not only reduce the physical labor of fruit farmers in the harsh field environment, but also greatly improve the harvesting efficiency. Aiming at the problems of complex and changeable field environment and more damage of clustered citrus fruits after mechanized harvest, a new end actuator of three finger clamping cutting and picking robot is proposed in this study. The end actuator is mainly composed of clamping device and cutting device. The clamping device can realize the lossless clamping of citrus, and the cutting device can realize the rapid separation of fruit and stem. The citrus fruit is clamped and wrapped by a flexible clamping finger and then rotated to make the blade cut the fruit stalk. By analyzing the stress and shape of citrus fruit in the natural environment, the working space and structural parameters of flexible clamping fingers are analyzed, and the control motor is selected according to the stress analysis of clamping fingers. The end effector is mounted on the 6-axis mechanical arm, the stepping motor speed, the end effector speed and the picking angle are taken as the influencing factors, and the single fruit picking time and the picking success rate are taken as the evaluation indexes for the picking performance test. According to the analysis of the test results, it is concluded that the optimal parameters of the end effector are the stepping motor speed of 250r / min, the end effector speed of 160mm / min When the picking angle is 0 °, the picking performance is the best. The end effector of Citrus picking robot developed in this paper has simple structure, stable and reliable operation, and high integration with the manipulator, which can provide a reference for the overall development of Citrus picking robot.

Novel Semantic Computation Technique for Hierarchal Relationship Extraction in Taxonomies

Paper ID- AMA-26-08-2021-10653

Extracting semantic relationships between entities and objects has become very challenging with the development of Big Data, Semantic Search Engines, and Semantic Question Answering systems. It has become an important research topic in recent years and is more valuable in the fields of biomedicines, Taxonomies, Health Care Informatics, etc. When taxonomies are studied and examined semantically, the problem of relationship detection arises. This research presents a computation technique to make it fast and efficient by employing a very important Graph Theory technique. This technique is used in semantic hierarchal relationship extraction in taxonomy. Our study illustrates that the Depth First Search Algorithm can best contribute, to detect hierarchal relationships and can be applied in the performance improvement from a semantic aspect. The research proposes a simple computation technique SSM5 for hierarchal relationship detection from taxonomies using Ontology. The technique can be used in an extensive range of applications in domains like Taxonomies, Biomedical Literature Mining, Business Intelligence, Unstructured Electronic Text on the Web, and Semantic Information Retrieval.

Economic Analysis of Chickpea (Cicer arietinum L.) Production in Bundelkhand Region of Uttar Pradesh (India)

Paper ID- AMA-26-08-2021-10652

This paper studies the cost and returns of chickpea (Cicer arietinum L.) crop production in Banda District of Bundelkhand Region (U.P.). It attempts to estimates the cost of cultivation, cost of production and benefit cost ratio (BCR) of chickpea crops of different categories of chickpea growers they were categorized into four groups on the basis of their size of holdings and also 120 farmers were selected purposively for the study. The analysis of chickpea cultivation indicates that the cost of cultivation, cost of production, net return and Benefit Cost Ratio (BCR), which increases with increases the size of farms. The average of cost and returns indicates that the total of chickpea cultivation was incurred in Rs.35941.05/ha. and net income was received Rs. 23103.82/ha. by the farmers. Further the average Benefit Cost Ratio (BCR) was estimated 1:1.64, which also indicates that the per unit profits earn by the growers from chickpea production in the Banda District.

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%.