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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
07 Dec 2022 (Vol - 53 , Issue- 12 )
Upcoming Publication
30 Nov 2022 (Vol - 53 , Issue 11 )

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

Determining Optimum Partial Gear Ratios of Two-Stage Helical Gearboxes with First Stage Double Gear Sets to Achieve Minimum Cost

Paper ID- AMA-28-08-2021-10659

In the design of the reducer, the transmission ratio is one of the most important parameters because it is directly related to the volume, size, and cost of the reducer. In this work, we recommend a method to find the optimum gear ratio u1 of the two-stage helical gearbox with the first- stage double gear set to achieve the minimum cost. Whereby, a simulation experiment designed and performed by an optimization program with the goal of minimum cost. Ten input variables were considered to find their influence on the optimal u1. In the end, the proposed regression model is confirmed by determining the deviation between the experiment and response u1 through the residual evaluation distribution.

Inhibition of glycation and multiple marker analysis using extracts of Nanorrhinum ramosissimum (Wall.) Betsche: An under investigated plant species

Paper ID- AMA-28-08-2021-10658

Glycation leads to subsequent production of advanced oxidative protein products and glycation end products that contribute immensely in manifesting various diabetic complications. Bioactive molecules from medicinal plant sources with antiglycation properties can significantly check these alterations. Nanorrhinum ramosissimum, a traditionally acclaimed medicinal herb that has been used in the Indian indigenous systems of medicine and treatment and has been known for curing diabetes. In the present study, aqueous shoot extract of field and in vitro regenerated N. Ramosissimum was used for estimation of antiglycation potential. Inhibition of glycation was analyzed by estimating different antiglycation markers (fructosamine, protein carbonyl group, thiol group, amino group and advanced oxidation protein products) at multiple stages by co-incubation of plant extracts with bovine serum albumin-methylglyoxal glycation model. The plant extracts displayed significant antiglycation potential at all stages. The present study might be able to draw the attention of different researchers and medical practitioners towards wider acceptability of this valuable medicinal plant N. Ramosissimum so that it could further be explored and subsequently utilized in combating pathogenic complications associated with diabetes.

Standardization of Rugose Spiralling Whitefly field level images for Artificial Intelligence application on Coconut gardens

Paper ID- AMA-28-08-2021-10657

Coconut is referred as the tree of heaven, as it provides various products to the people. Coconut is grown in over 86 countries in the world with a production of 54 billion coconuts every year. Aleurodicus rugioperculatus Martin (Hemiptera: Aleyrodidae), commonly known as the Rugose Spiralling Whitefly (RSW), is commonly observed on coconut palm. The invasive pest RWS causes stress to coconut plant by removing nutrient and water and also produces honeydew which causes heavy loss to the coconut gardens. There is a need for early identification of RSW with the field level images using Artificial Intelligence. The images are collected from the field at three levels, 1. healthy leaflets 2. RSW infestation leaflets and 3. Scooty mould leaflets, of which the images are standardized by using Artificial Intelligence application, Random Forest Classifier is used to classify the images and it is an early warning system for better management of coconut gardens.

Mass Optimization on Two-stage Helical Gearboxes with First Stage Double Gearsets

Paper ID- AMA-27-08-2021-10655

One of the most significant factors affecting the cost of a gearbox is its mass, which can be changed by optimizing the gearbox ratios. Accordingly, to achieve the minimal mass of a gearbox, an optimization is needed for the partial gear ratios. The present study is aimed to minimize the mass of Two-stage Helical Gearboxes with First Stage Double Gear-sets via optimizing the second partial gear ratios. Several input factors are employed for the exploration of their effects on the optimum gear ratio of the second stage. An experimental simulation is created with the computer assistance to obtain a regression equation which then can help predict the results. The input factors and their interactions have been found to have great impacts on the response. Noticeably, the predicted values are consistent with the experiment results.

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.