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
Determination of Optimum Farm Power and Machinery Requirement for Large Scale Sugarcane Production.
There was need to optimally determine farm power and machinery critically not only because of the high proportion of total cost attached to machinery but also of the infrequency and irrevocability of such decisions to reduce operational loss. Values of tractors with its equivalent implements field capacity, draft and power requirements, field operations ownership and operational cost for 1,300 ha Sunti sugarcane cultivation operations for 2017 and 2018 cropping seasons were determined based on farm size, weather, soil conditions and time available with regard to crop operation cultivation sequence. The available tractors and equivalent implements at site were found to be more than the number actually required except for the cane loaders, cane transporting wagons and all the cane harvesters were not in good condition, hence cane was 100% manually harvested for these cropping seasons. There was enough earth work equipment available for land clearing/development, road construction/maintenance, dyke, irrigation and drainage works. Result of field cropping operation sequencing calendar shows that operations were overlapping with multi-periods and peak periods in November to February. With reference to economic aspects of tractor utilization in this study, average use per tractor was lower than accepted range for large sized farm at peak months of operation period of November, January and February during tillage, sowing and harvesting. Actual number of tractors/implements used was more than optimum requirement, hence the farm has low number of total tractor use which made the system to have more tractors in proportion to the amount of work done.
Formation of Camelina sativa yield depending on the level of mineral fertilization under conditions of Precarpathians
The influence of growing technology elements of Camelina sativa, in particular, influence of different fertilizer doses on yielding capacity of Camelina sativa plants under conditions of Precarpathians of Ukraine has been studied. Main results of three-year research concerning improvement of existing technologies of growing Camelina sativa variety Girsky depending on the background of mineral nutrition and application of micro-fertilizers and growth stimulants which would maximize varietal characteristics of the crop and meet the needs of farmers have been presented. It was found that the highest yield of Camelina sativa 1.95 t/ha had been obtained with application of mineral fertilizers in a dose of N30P45K45+N60, which was 0.99 t/ha more than in the control. The lowest yield - 0.96 t/ha was obtained in the control variant (without fertilizers).
Mathematical Model for Calculating Humus Balance and Doses of Organic Fertilizers Using Big Data
The article presents mathematical models to forecast the humus balance of agricultural lands in the Central region of Russia, developed by scientists of Federal State Budgetary Scientific Institution FSAC VIM on the basis of an array of big data of field experiments of the Geographic Network of Federal State Budgetary Scientific Institution "All- Russian Research Institute of Agrochemistry". On the basis of the presented mathematical models, a software package has been formed, the use of which makes it possible to predict the dynamics of humus in the system of crop rotations, doses and total demand for organic fertilizers necessary to maintain a positive balance of soil organic matter with a known specific weight of perennial grasses, to produce a rational formation of the structure of sown areas, crop rotations and agricultural technologies aimed at preserving and increasing soil fertility and its biological activity.
Kiwifruit detection and counting on orchard video using YOLOv3-tiny and Kalman filter for yield estimation
Fruit yield estimation is an important task in modern orchard management. Producers can allocate labors, optimize resources, and increase harvest efficiency by accurately estimating fruit yields. In this paper, a video counting algorithm for kiwifruit was proposed based on YOLOv3-tiny and Kalman filter. Results showed that P, R and AP values of the YOLOv3-tiny reached 0.8258, 0.8353 and 0.8666, respectively, while average detection speed reached 31 ms per image. The tested average counting error between the video counting algorithm and manual counting is 7.2 fruits per video. The experimental results demonstrated that the video counting algorithm can be recommended for fruit counting in kiwifruit orchard.
Time Optimization for Internal Grinding C45 Carbon Steel
In this article, the results of an optimization study when internal grinding C45 carbon steel were introduced. In the problem, the objective function which was chosen is the minimum machining time. Besides, six main process parameters including the initial grinding wheel diameter, the grinding wheel width, the wheel life, the total depth of dressing cut, the radial grinding wheel wear per dress, and the tolerance grade were selected for the problem. The influence of these parameters on the optimal replaced wheel diameter was analyzed by designing and performing a simulation experiment. In addition, a regression formula to calculate the optimal replaced wheel diameter was found. It was reported that this formula is in good agreement with the experimental data.