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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

ARIMA vs ARIMAX Modelling for Mustard Yield Forecasting in Haryana

Paper ID- AMA-11-09-2021-10707

The present study has been accomplished in two parts i.e. the development of ARIMA and ARIMAX models for mustard yield forecasting in Bhiwani, Fatehabad, Hisar and Sirsa districts of Haryana. The ARIMA models have been fitted using mustard yield data for the period 1980-81 to 2011-12 of Bhiwani, Hisar and Sirsa districts (Fatehabad from 1997-98 to 2011-12). However, the fortnightly weather data from 1980-81 to 2016-17have been utilized as input for ARIMAX model building. The validity of fitted models have been checked for subsequent years i.e.2012-13 to 2016-17, not included in the development of the models. The ARIMAX models performed well with lower error metrics as compared to the ARIMA models in all time regimes.

Pre-harvest Application of Calcium Chloride and Salicylic Acid Enhances Morphological and Biochemical Characteristics of Guava (Psidium guajava)

Paper ID- AMA-11-09-2021-10706

Guava is a small, tropical fruit tree grown in various tropical and subtropical regions. Salicylic acid (SA) is a phenolic compound that enhances disease resistance and delays the fruit ripening process. Calcium is an essential cell component that delays ripening, particularly softening of the fruit. The effect of foliar spray of CaCl2, and SA, on guava's physical and biochemical traits were investigated in the present investigation. The application of CaCl2 2% + SA 2mM was more effective as compared with both when applied alone. The data were recorded on fruit set (%), fruit weight (g), fruit length (cm), fruit diameter (cm), fruit yield (kg), ripening period (days), TSS, acidity, total sugar, ascorbic acid, nitrogen, phosphorus, potassium. CaCl2 2% + SA 2mM was showed better performance in all cases, followed by SA 2mM and CaCl2 2%. Overall, this work determines the influence on guava's essential traits by pre-harvest calcium chloride and salicylic acid.

Model-free adaptive control design for chaotic systems via Type-2 recurrent wavelet fuzzy Brain Emotional Learning Networks

Paper ID- AMA-10-09-2021-10705

This paper introduces an optimal model named Self-Organizing Type-2 Recurrent Wavelet Fuzzy Brain Emotional Learning Network controller (SET2RWFBELNC) with self-evolving algorithm to gain optimal structure from zero initial rule, which merges Interval Type-2 Recurrent Wavelet Fuzzy System and Brain Emotional Learning Network(BELN). As an ideal controller, SET2RWFBELNC not only solves the problem of less information between master and slave systems, but also reduces the influence of external disturbance on synchronization of chaotic systems. Consequently, one model-free adaptive sliding mode controller based on SET2RWFBELNC, sliding model theory, and the asymptotic stability of the synchronization error is realized by robust compensation, in which the strong compensation used for the compensation of the network error. Besides, the Lyapunov function improves the stability of the model. Finally, simulation results of the chaotic system presented in this paper show the superiority of this method.

Optimization Study on Ratio of Surface Roughness to Material Removal Speed when PMEDM SKD11 Tool Steel

Paper ID- AMA-09-09-2021-10704

This paper presents the results of an optimization study on powder-mixed electrical discharge machining (PMEDM) when machining cylindrical parts made of SKD11 tool steel. The objective of this study was to investigate the influence of main process parameters on the ratio of the surface roughness (SR) to the material removal speed (MRS). To do that, an experiment was conducted. Also, the Taguchi method in Minitab 19 software was used to design and analyze the experimental results. The influence of the input process parameters, including the powder concentration, the powder size, the pulse on time, the pulse off time, the servo current, and the servo voltage on the ratio between SR and MRS was evaluated. Furthermore, the optimal input parameters to achieve the minimum ratio of SR to MRS were found.

Experiment and analysis of compressive mechanical behavior and creep characteristics for apples

Paper ID- AMA-09-09-2021-10703

The compressive mechanical behavior and creep behavior of Fuji apple were studied under the same agroecological conditions. The compression test results showed that the order of the factors affecting the damage force, stiffness and deformation energy were loading rate, storage time and compression position. The loading rate and storage time showed an extremely significant effect on damage force and stiffness (P<0.01), which also showed a significant effect on deformation energy (P<0.05). The loading position showed a significant effect on damage force and stiffness (P<0.05). The creep test results showed that the four-element Burgers model had the highest mean fitting degree. The initial elasticity coefficient, delayed elasticity coefficient and viscosity coefficient all showed a downward trend with the increase of storage time, while the delay time showed an upward trend with the increase of storage time. Moreover, the creep parameters showed a significant or an extremely significant correlation relationship.