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)
07 Dec 2025 (Vol - 56 , Issue- 12 )
31 Dec 2025 (Vol - 56 , Issue 12 )
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
Parameter optimization and experiment of belt clamping cotton-stalk pulling device
To explore the method for pulling cotton whole-stalk and address the problems of high leakage rate and low pull-out rate, a belt clamping cotton-stalk pulling device was designed. The device is mainly composed of a front suspension device, a pulling and conveying device, a hydraulic control system and dividers. The pulling process of the belt clamping cotton-stalk pulling device was analysed, and the key factors affecting the performance of the device were determined. The three-factor, three-level quadratic regression orthogonal experiment was carried out. Then, the verification test was carried out with the optimized parameters. The results showed that when the pulling height was 61.4 mm, the forward speed was 2.2 km/h, and the driving wheel speed was 244.7 r/min, the average cotton stalk breaking rate was 5.42%, and the average cotton stalk leakage rate was 6.33%, the relative error between the experimental verifivation value and the theoretical optimized value was less than 5%. This study enriches the cotton stalk pulling technology and provides a reference for the development of cotton stalk pulling equipment.
ACCURATE MEASUREMENT OF MAIZE KERNELS COMPONENTS DENSITY BASED ON GRINDING PIECE
To guide the formation mechanism of dry cracks inside maize kernels, a method is proposed to accurately measure the density of maize kernel components. Firstly, the maize kernels are grinded in layers by a layering grinding device. Then, after each grinding, the images of the grinded surface and side of the maize kernels are collected, and the part of the maize kernels removed by each grinding is regarded as the grinding piece, and the mass of the maize kernel grinding piece is measured; Secondly, the images of the down side of grinding piece are segmented by a K-Means clustering mean algorithm into 3 parts——keratinous endosperm, the farinaceous endosperm and the embryonic part. Next, the actual areas of the three parts and the height of the grinding pieces are measured, and we obtain the volume of each components; Finally, the density of each maize kernels components is obtained by a linear neural network model, and a test is validated by the quality of the maize kernels grinding pieces. The test results show that the accuracy of the measurement method reaches more than 96%, which can accurately measure the density of the internal components of different varieties of maize kernels, and provide the basic theory for the formation mechanism of dry cracks inside maize kernels.
The Effect of Design Parameters on the Cost Function of a Worm-helical Gearbox
In this study, a method based on the results of an optimization study on the influence of the main design parameters on the total cost of a worm-helical gearbox was proposed. Specifically, ten main design parameters were investigated to find their influence on the optimum gear ratio of the worm set u1. To do that, a simulation experiment was designed and implemented by a computer program. The results showed that in addition to the influence of the input parameters, their interactions also have important effects on the response u1. Finally, a regression model is proposed and its reliability is confirmed through the results obtained.
Effect of pre-sowing treatments on drupe germination of Melia azedarach at nursery stage
Melia azedarach belongs to family Meliaceae. It is a deciduous tree, native to Indian sub-continent but now has spread in many Asian countries and also in different regions of the globe. It is an economically and medicinally important woody tree that is traditionally used for management of malaria, diabetes and skin diseases. It is highly valuable indigenous species. The main difficulty of establishing forest plantation of Melia azedarach species is its poor seed germination. Seed of Melia azedarach are hard and seed pre-treatments aim at breaking the physical barrier to enhance water absorption. The experiment consisted of 38 treatments in which various pre-sowing treatments were applied to the drupes such as normal water (24, 48 and 72 hrs), hot water (4, 6 and 8 min.), hot water with keeping drupe in same water for 24 hrs (4,6 and 8 min.), conc. H2SO4 (4, 6 and 8 min.), Gibberellic acid (200, 300 and 400 ppm for 24 hrs), cow dung slurry (2, 4 and 6 days) and these treatments were also given in combination with mycorrhizal fungi namely Glomus mosseae. Results revealed that the germination, growth, biomass and physiological parameters of pre-sowing treated drupes were significantly increased as compared to control, except for hot water treatment. The germination percentage (75.87) and other quality parameters such as mean daily germination, germination value and speed of germination were recorded highest in treatment with cow dung slurry for 6 days + Glomus mosseae followed by cow dung slurry for 6 days.
Rainfall characteristics and probability analysis for crop planning of Samba district of Jammu and Kashmir (U.T.) India
To stabilize the crop productivity in rainfed agriculture, it is necessary to characterize rainfall with respect to amount, distribution and its dependability which is an important parameter to evolve suitable cropping patterns. The present investigation has been done to study rainfall characteristics of Rakh Dhiansar (320 39’ N, 740 53’ E, 294 m amsl), Samba district of Jammu region using 30 years (1987-2016) daily rainfall data. In this study, weekly rainfall was worked out from daily values and used for initial, conditional and consecutive dry and wet spell analysis done by using Markov chain probability. The highest rainfall received during the month of August followed by July, September, June and March with the corresponding values of the total amount of rainfall are 321.6, 317.8, 146.6, 92.3 and 63.5 mm with coefficient of variations of 48.7, 41.3, 66.2, 85.0 and 129.2%, respectively. Maximum amount of rainfall was received through S-W monsoon i.e 878.6 mm which accounted for about 77.5% of the annual rainfall in kandi belt of Samba district. The probability of occurrence of wet week is more than 35% during 24 SMW (11-17 June), thus the pre monsoon rains can be utilized for summer ploughing and initial seed bed preparations for the sowing, better germination and good crop stand of kharif crops. It is concluded that there is a need of reconsidering the cropping pattern, selection of crops, their varieties and management practices for kandi belt of Samba district to minimize the risk in crop production as inflicted by rainfall variability.