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.
WOS Indexed (2025)
27 Nov 2025 (Vol - 56 , Issue- 11 )
30 Nov 2025 (Vol - 56 , 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:
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
Methodology for Cost Analysis of Two-Stage Bevel Helical Gearboxes
This paper presents the results of an optimization problem on determining optimal gear ratios of a two-stage bevel helical gearbox to achieve the minimum gearbox cost. To solve this problem, a simulation experiment was performed by building a computer program with the use of the Minitab 19 software to design experiments and analyze experimental results. The influence of the maine design parameters including the total gear ratio, the face width coefficients of the bevel gear set and the helical gear set, the allowable contact stress of the bevel and helical gear sets, the output torque, and the component costs have been evaluated. In particular, the cost of rolling bearing has been taken into account in this study. Moreover, a regression model to find the optimum gear ratio has been proposed.
Combining ability and component analysis in Bread Wheat (Triticum aestivum L.)
In the present study a diallel set of 9 x 9 was attempted by crossing nine bread wheat genotypes in all possible combinations excluding reciprocals. The mean squares of nine diverse parents and 36F1s due to GCA and SCA component were significant for all the thirteen traits. These outcomes show the importance of additive variance in the inheritance of all the traits. The comparative importance of additive and non-additive components was revealed by checking the components of variance (s²g and s²s), heritability in broad-sense (Hb), narrow-sense (Hn) and gca/sca ratio. The magnitude of GCA component (s²g) and gca/sca ratio was higher for plant height and peduncle length, indicating that these two traits were under the control of additive genetic variance and all the others traits were controlled by non-additive genetic component. Based on general combining ability effects and per se performance, parents WH1184, HD3086 and HD3059 were found the good general combiners for grain yield per plant. On the basis of per se performance and SCA effects the crosses viz., HD2967 × WH1184 and HD3059 × Raj3765 were found as good specific cross combination. These crosses can be extensively used in further breeding programmes to develop superior pure lines.
Variable Selection Techniques for Classification of Indian Mustard Genotypes: A Simulation Study
In the analysis of high-dimensional data the challenging problem is selecting a useful set of variables among the set of large number of variables. Feature selection reduces the dimensionality of feature space, removes redundant, irrelevant, or noisy data. In this study, comparisons between different variable selection methods were performed. These methods include four methods such as Raoˊs F test, Wilkˊs lambda (Backward and Forward) and Random Forests. A Monte Carlo Simulation study was conducted to compare the performance of various methods of variable selection for classification and discrimination. Random samples with varying sizes (50, 100, 200, 500) were generated using Monte Carlo simulation using means and variance covariance matrices of groups formed on the basis of seed yield and oil content of the 310 genotypes of Indian mustard data set. For samples generated on the basis of seed yield of equal size three methods viz Rao's F test, Wilkˊs lambda (Backward) and Wilkˊs lambda (Forward) were found to have equal performance for (N1=200, N2=200) with least error rate of 18.50 per cent. On comparing the equal sized samples ((N1=50, N2=50), (N1=100, N2=100), (N1=200, N2=200) and (N1=500, N2=500) the most suitable methods for selection of variables affecting oil content with least leave one out cross validation 31.50 percent error rate are Wilkˊs lambda (Backward) and Wilkˊs lambda (Forward) for sample size (N1=100, N2=100).
ARIMA vs ARIMAX Modelling for Mustard Yield Forecasting in Haryana
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)
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.