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
AID IN AGRICULTURE MECHANIZATION AND ITS IMPLICATIONS TO INCREASING RICE PRODUCTION
Labor scarcity is a crucial issue in the development of food crop commodities. The complexity of work in rice farming, which starts from land cultivation, requires sufficient and skilled labor. The provision of agricultural mechanization can be a solution to overcome these problems. This paper aims to analyze the impact of agricultural mechanization on rice production. The data used is secondary data, namely the 2018 Inter-Census Agricultural Survey data sourced from the Central Buereu of Statistics and the 2019-2020 Agricultural Mechanization Aid Survey data sourced from the Ministry of Agriculture. Data were analyzed using descriptive statistics and Spearman correlation. The results of the analysis show that the distribution of agricultural mechanization aid has been concentrated in rice production centers. There has been an increase in the use of agricultural mechanization by farmers, especially in lowland rice commodities. The correlation between the amount of agricultural mechanization aid and rice productivity is quite strong (0.479) and significant. The use of agricultural mechanization is considered to have an impact on increasing rice productivity by 84% of respondent farmers. Suggestions that can be given to optimize the use of agricultural mechanization aid are that intensive counseling and assistance are needed in the operation and maintenance of agricultural mechanization. Counseling is also directed at increasing the use of agricultural mechanization in areas of lowland rice production centers. To develop agricultural mechanization, it is advisable to consider the condition of the land, both paddy fields and dry land.
Cultivars and Planting times effect on growth, yield, quality and economics of sweet corn (Zea mays L. Var. Saccharata) under different conditions: Review
In order to best utilize the moisture, nutrients and solar radiation and for obtaining high seed yield of good quality, optimum time of sowing should be identified. The taste of sweet corn kernels is 25-30% sweeter than normal corn. At optimum market maturity, sweet corn will contain 5 to 6% sugar, 10 to 11% starch, 3% water-soluble polysaccharides, and 70% water. Sweet corn must be harvested during optimal maturity to obtain best eating quality, a finite capacity of vegetable processing facilities and steady demand for fresh produce necessitate all harvest period. Producers extend harvest by staggering planting dates and planting hybrids with different maturity dates. Factors influencing the productivity of sweet corn and maize are numerous and include environmental conditions, cultivars characteristics, soil management practices and plant population density Knowledge of sweet corn response to environmental conditions has led to improvements in crop production.
Effect of Acidified Base, Alkaline and Acidic Treatments on Extraction and Characterization Process of Bagasse Fiber
Bagasse fiber is a byproduct of sugarcane milling. Bagasse is currently used primarily as a fuel in sugarcane mill furnaces. However, the excess production of bagasse waste, as well as the need for sustainable resource use and carbon dioxide neutrality, is an intriguing area to explore and develop biodegradable composite materials from sugarcane bagasse fiber. The goal of this research was to figure out how to separate bagasse fiber and profile it with chemical and physical surface modification techniques in order to improve adhesion and bonding. To remove and characterize raw bagasse, three chemical treatments methods were applied. Sodium hydroxide, sodium hypochlorite, sulfuric acid, and acetic acid were among the extraction device chemicals. Mechanical, thermal, and moisture absorption properties were also considered during the characterization process. To analyze the properties, universal tensile test gage, TGA, DSC, FTIR, XRD, and biological microscope tools were used. The findings revealed that the chemical treatment had an impact on the surface modification of the fiber. When compared to other fiber treatment methods, alkaline treated fibers (concentrated sodium hydroxide) were recommended first for their ease of extraction and best modification in fiber surface property: Moreover, two percent sodium hypochlorite acidified base treatment method were also recommended for their best properties for the development of composite materials.
Design and test research on visual servo control system of tomato cluster-picking manipulator
To realize the task of tomato string-picking manipulator under the guidance of the obtained visual information, a visual servo control system for a seven-degree-of-freedom picking manipulator was designed. The visual servo control system consists of a parallel binocular camera, a 7-DOF manipulator, and a control system. The PC was adopted as the host computer, and the host computer control interface was developed based on Matlab software, which was to collect and process the image information. A STM32F103 microcontroller was used as the slave computer, which send PWM wave to control the joint motors in the instruction of host computer. The experimental results show that the visual servo control system has a 90% success rate in picking the static target, and the average picking time is 18s.The success rate for dynamic targets is 83%, with an average picking time of 22s.
Influence of EDM Parameters on Material Removal Speed when Processing SS304 Cylindrical Shaped Parts
This article presents the results of a study on optimization of electrical discharge machining (EDM) when machining SS304 stainless steel cylindrical shaped parts. The objective function of the problem is the maximum material removal speed (MRS). An experiment has been designed and performed to solve this problem. In addition, the experimental design and result's analysis were carried out by applying the Taguchi method with the support of the Minitab R19 software. Besides, the influence of the input process parameters, including the pulse on time, the pulse off time, the servo current, and the servo voltage on the MRS was explored. Furthermore, the optimal inputs of the EDM process factors to achieve the maximum MRS have been proposed.