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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. 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 Zhenkong Kexue yu Jishu Xuebao/Journal of Vacuum Science and Technology Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) Zhonghua yi shi za zhi (Beijing, China : 1980)

Submission Deadline
10 Feb 2023 (Vol - 54 , Issue- 02 )
Upcoming Publication
03 Feb 2023 (Vol - 54 , 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:

Agricultural and Biological Sciences
Electrical Engineering and Telecommunication
Electronic Engineering
Computer Science & Engineering
Civil and architectural engineering
Mechanical and Materials Engineering

Animal Traction AND Agricultural Productivity In Niger: Case Of The Regions Of Maradi and Zinder

Paper ID- AMA-30-08-2021-10665

A study was conducted from June 15 to August 24, 2020 in six terroirs of the regions of Zinder and Maradi. Data collection was carried out by using a survey, which provided information on the use of animal traction, yield of work, the area exploited and the manpower mobilized depending on the type of energy used. Results showed that the yield from manual plowing is 23±4.14 men/days/ha compared to an average of 2 days/ha with animal traction. Farms using animal traction represent 90% of all the farms surveyed. The mean agricultural area of farmers using animal traction (4.35 ± 4.62 ha in Maradi and 8.27 ± 4.34 ha in Zinder) is greater than that of farmers who do not practice it (3.07 ± 1.38 in Maradi and 6.5 ha ± 4.95ha in Zinder). The manpower used in animal traction is 3±1.23 men / days / ha for plowing. The yield of manual groundnut or nutgrass sowing is 14 men/days/ha against 2±0.39 days/ha with animal traction. These results show that with well-trained animals, animal traction has contributed to the improvement of agricultural production in these two regions of Niger.

Estimation of LULC wise Soil Erosion by MMF Model with GIS Based Approach for Nongpoh Watershed

Paper ID- AMA-29-08-2021-10663

Land use and land cover (LULC) is the primary determinant in sustainable management of soils. Understanding and quantifying the effect of LULC on the soil erosion process in a high rainfall area will immensely help in controlling as well as reversing degradation. In a gauged watershed, total sediment yield is measured at the outlet. Whereas in an ungagged watershed, there is a need to rely on models for estimating soil erosion. Models are found to be capable of estimating erosion within the watershed based on land use and land cover particularly those physically based models along with Remote Sensing and Geographic Information System (RS & GIS) tools. The objective of this study is to prioritize the critical erosion hazard areas within the micro watershed based on land use/land cover and annual soil loss. Modified Morgan-Morgan-Finney (MMF) model was used to estimate soil loss with the input parameters extracted from satellite image (IRS-LISS-IV) and Automatic Weather Stations for the Nongpoh watershed. The annual average soil erosion by the MMF model was estimated at 55.30 t ha-1 yr-1. The soil erosion was found to be highest in the agriculture- dominated area (79.10 t ha-1 yr-1) followed by scrubland (62.67 t ha-1 yr-1). It shows that the study area came under severe erosion class, whereas agricultural land, open forest area, and scrubland were prioritized as the most erosion-prone areas within the watershed. These findings will help the management committee for making suitable planning and also will aid in implementing this method in the hilly and mountainous regions in the world.

Mechanical Analysis and Creep Deformation of Soft Rock Deformation Under High Ground Stress Conditions

Paper ID- AMA-29-08-2021-10662

Creep being a time-dependent deformation at elevated temperature and constant stress plays a crucial role in engineering and is now being employed for use in civil engineering projects. Its excellent properties in reducing stress concentrations and internal stresses will help reshape the future in terms of its influence in rock engineering. This paper gives an in-depth review on the mechanical analysis and creep deformation of soft rock deformation. Firstly, the composition and law of ground stress based on generalised Hoek-Brown criterion was reviewed. Then the mechanical analysis of excavation deformation of weak surrounding rock in terms of its basic characteristics and deformation mechanism. Finally, the creep of surrounding rock as well as the parameters of the Burgers creep model were discussed.

Analysis of Transmission Ratios for Helical Worm Gearbox Reducer to Obtain Minimum Mass of Gearbox

Paper ID- AMA-29-08-2021-10661

Gearbox have the capability of transmitting and adjusting an input motion from a prime mover to drive system. Due to this capability, they are is very widely used and is an indispensable part in industry. In this paper, the analysis of optimum transmission ratio (u2) of helical worm gearbox reducer, based on the objective function of minimizing gearbox mass, are discussed. The resulting optimization problem is solved using the Design of Experiment technique. A plan of a simulation experiment is generated to serve for finding a regression model to calculate the optimum ratio. Analysis of the results received showed that besides the influence of process parameters, their interactions also have significant effects on the response u2.

Analysis on the Entropy Characters of Population Diversity and Strong Convergence (a.s.) in Gene Expression Programming

Paper ID- AMA-29-08-2021-10660

BS-GEP (Gene Expression Programming (GEP) based on Block Strategy) is an improved GEP in time series prediction proposed in our previous work, in which the population is divided into several blocks according to the individual fitness of each generation and the mutation operators are reset differently in each block to guarantee the population diversity. To confirm the influence of our opinion on population diver- sity, and eventually reveal the evolutionary direction of the population diversity, by employing Shannon entropy to measure diversity, the entropy characters of gene-bit mutation are investigated theoretically, and the features of diversity in the evolution are analyzed. It is shown that the entropy of gene sequences adjusts with the mutation rate in BS-GEP, so that the population diversity tends to its maximum swiftly and then lower gently. Thus BS-GEP maintains more rich population diversity than the stand- ard GEP. In addition, to verify convergence of BS-GEP is not weaker than of GEP, which is proved as Strong Convergence in Probability, martingale theory is adopted to demonstrate BS-GEP with Almost Everywhere Strong Convergence (a.s.) in its Markov chain analysis, to complement the convergence theory of BS-GEP.