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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
01 Feb 2022 (Vol - 53 , Issue- 02 )
Upcoming Publication
31 Jan 2022 (Vol - 53 , 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:

Azerbaijan Medical Journal Gongcheng Kexue Yu Jishu/Advanced Engineering Science
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

Deciphering the Genetic Components in Sesame (Sesamum Indicum L.) under different Environmental Conditions

Paper ID- AMA-15-10-2021-10794

Ten genetically diverse sesame (Sesamum Indicum L.) parents were crossed in half diallel fashion. Ten parents along with their 45 F1 progenies excluding reciprocal were evaluated in a randomized block design with three replications under normal (E1), late (E2), very late (E3) sown conditions of Rajasthan. The evaluation of components of genetic variation manifested that both additive (D) and dominance (H1 and H2) components were significant for all the attributes except capsule girth in very late sown condition where additive dominance model fitted. This revealed that fixable as well as non- fixable component of variances were operating in the expression of the traits. The graphical analysis revealed that there was partial dominance to over dominance for different characters under normal, late as well as very late sown conditions. The scattering of array points indicated the existence of genetic diversity among the parents for most of the traits.

Analysis of Conformal CPW fed Copper and Multiwalled Carbon nanotube microstrip antennas in X- Band Applications

Paper ID- AMA-14-10-2021-10793

This paper, describes the characteristics of flat and curved antenna structures using copper and Multi- Walled Carbon Nano-Tube (MWCNT) materials. A flexible dielectric substrate, polyimide material with dielectric constant εr= 3.5, tan δ = 0.008, the thickness of 0.1mm, is employed here. The low thickness of dielectric material allows it to be mounted on curved surfaces. The CPW fed conformal structures are designed to resonate at 10 GHz in the X-band (8GHz - 12GHz). Cylindrical curvature structured antennas designed with different radii (10mm, 15mm, and 20mm), and investigated their performance interims of return loss (S11), bandwidth, gain, and radiation efficiency, etc. Here a thin film MWCNT antenna is prepared by using a spin coating technique. The analysis of comparative study for both planar and flexible antennas are carried out in the present investigation. Both simulation and fabrication results are in close agreement with each other. From the experimental results, the planar and conformal antennas (copper and MWCNT) offer approximately the same impedance bandwidth around 33%but antenna gains is reduced from flat to curved structures of different radii (20mm, 15mm, and 10mm) in the intended direction. Material resonant properties and feeding techniques allow to enhance impedance bandwidth. The resistivity of the conductive material used in the antenna design increases as the bending angle is increased, this leads to a gradual increase in beam width and hence a drop in gain within the operating band of frequencies. The MWCNT antennas are suitable for low- power communication applications and in gas and harsh chemical environments where conventional materials get effected. Conformal antennas are widely employed in satellite, automobile and defense, Synthetic aperture radar applications.

Research on the performance of particles distribution of fertilizer point-applied device in root-zone

Paper ID- AMA-13-10-2021-10792

Root-zone fertilization (RZF) can improve fertilizer utilization, but the development progress of fertilizer point-applied device is very slow due to the principle lack of fertilizer particles distribution. In this work, a new type of fertilizer point-application device based on the mechanism of Geneva Drive is taken as the specific analysis object, the impacts of working speed, fertilizer discharging height and fertilizer discharging mass on the fertilizer particles distribution performance are explored by DEM-MBD simulation. The results show that the fertilizer distribution length increased with working speed, discharging mass and discharging height increasing. The increase of fertilizer distribution length by the increase of working speed can be sufficiently explained by the rotation speed increase of discharge wheel, resulting in the higher discharging velocity of fertilizer particles and bigger discharging angle range, and the relative fertilization time becomes shorter. The increase in discharging height leads to an increase in the time of fertilizer particles moving in the air, due to the various horizontal speeds of different particles after leaving the discharge wheel, there is a horizontal distance after the particles fall on the conveyor belt. The proportional increase of the discharging mass by the fertilizer volume can increase the area of fertilizer particles dispersed and the fertilizer stacking posture is related to the discharging velocity of fertilizer particles.

Impact of Agriculture sector on Sustainable development of Indian Economy: An Analysis

Paper ID- AMA-12-10-2021-10791

The country of India is renowned as the "Land of Villages." About 67 percent of India's population lives in villages. Their primary occupation is agriculture and agricultural-related activities. Agriculture is the largest and most important sector of our economy, employing over 70% of the Indian people. Agriculture is critical to the Indian economy. Although its contribution to GDP is currently roughly one-fifth of what it was, it employs 50 percent of the Indian workforce. Despite recent significant growth rates, India continues to face agricultural challenges. As a result, the purpose of this study will focus on agricultural productivity and its future possibilities. Some secondary data has been gathered in order to examine agriculture's realistic scenario and the government's numerous policy programmes. The goal of the study is to discover more about the state of Indian agriculture. They face a number of challenges and obstructions in the form of agro-industry and governments in order to develop agriculture in extreme circumstances, as well as learn about various government initiatives, investments, and policies for agricultural development, and the involvement of agriculture in the Indian economy.

Tomato recognition under complex environment by Improving SSD model

Paper ID- AMA-11-10-2021-10790

In order to improve the accuracy of tomato-picking robots’ recognition in complex environments, a tomato recognition method based on an improved SSD model was proposed. Based on the traditional SSD (Single Shot Multi-Box Detector) network model, an RFB (Receptive Field Block) module was added and the loss function was improved by adding repulsion loss to construct a network model for tomato fruit recognition in complex environments. The improved SSD model was tested with a self-made dataset, and a comparison test was conducted for tomatoes under different shade on sunny and cloudy days. The test results showed that the differences between the two algorithms were compared and analyzed with F1 as the evaluation value. Test results showed that the F1 values for single-fruit shade and multi-fruit shade were 87.3% and 85.6% on sunny days while the figure for leaf shade and root-stock shade were 83.6% and 89% respectively, increasing by 7%, 4% and 6%, 6% compared with the traditional SSD model. On cloudy days, the F1 values for the same four types of shades reached 79%, 79.6%, 78.3% and 80.3% respectively, rising by 2%,1.3% and 4.3% 5.7%. These results proved that the network could realize the accurate detection of tomato fruits in complex environments and provide a new method for testing agricultural robots for picking tomatoes.