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
Determining mower’s double cutter-bar basic parameters
In the field of agriculture, machines are very important tools to increase the productivity of good quality products. Therefore, it is necessary to develop such technological machines, constantly updating the working mechanism. The mower is one of those machines that cutting mechanism is a very important working device, which must been continuously improved. Therefore, a new mower’s double cutter-bar is designing to improve the technological and mechanical performance of the mower. This paper concerns basic parameters of mower’s double cutter-bar mechanism. A kinematic study concerning the double cutter bar mechanism using the method of closed contours, therefore analytical equations are developed, describing the trajectory of the knives, the speed and the acceleration, while also determining the necessary driving power as well as the device power supply and pinch, thus justifying the basic parameters of this mechanism. To validate these mathematical expressions experimentally, a prototype of this mechanism is made within the Kazakh Institute for Scientific Research on Mechanization and Electrification of Agriculture allowing to adjust and improve several design and technology parameters. The correctness of the theoretical premises is confirmed by testing the developed prototype mechanism in agricultural fields.
Acute Toxicity Evaluation of Aqueous Extract from Hertia cheirifolia in Swiss Albino Mice
Hertia cheirifolia L. is a medicinal plant belonging to Asteraceae family. It is traditionally used to treat gastrointestinal ailments, infections, and spasms. The aim of this study is to evaluate the oral acute toxicity of aqueous extract from Hertia cheirifolia on female Albino wistar mice. Animals were divided into three groups, the first group received distilled water and was used as control; Mice of the second and third groups received the plant extract at doses of 2g/kg and 5g/kg body weight of animals, respectively. The mice were monitored for 14 days for their general behavior, adverse effects and mortality. The results showed that no death or toxic signs were observed, no changes were seen in food consumption, body weight and organ weight in the treated animals compared to the controls. However, an increase in AST and ALT levels was recorded in mice treated with the extract.
Research on Path Tracking of Intelligent Tractor Based on Variable Universe Fuzzy Adaptive Model Predictive Control
Since the operating speed and tracking path of intelligent tractors are constantly changing, the model predictive control based on fixed parameters cannot achieve ideal results. This paper proposes a variable universe fuzzy adaptive weight MPC tracking control algorithm considering automatic steering system. Firstly, the tractor dynamics model, tire mechanics model and automatic steering system model are constructed. Secondly, a linear tracking error model is constructed based on the tractor dynamics model and the automatic steering system model. Again, a path-following control algorithm based on MPC is designed. Then, in order to improve the control precision and self-adaptability of MPC, a fuzzy self-adaptive weight regulator with variable universe is designed. Finally, the co-simulation of pear-shaped and semi-circular operating conditions is designed. The simulation results show that the model predictive controller considering the automatic steering system solves the problem of excessive tracking error caused by the delay, overshoot and oscillation of the automatic steering system in the tracking process; the variable domain fuzzy adaptive weight regulator realizes the adaptive weight Adjustment, so that the tracking control effect can meet the operation requirements under different operating speeds, and the speed robustness of the tracking control is improved.
Identification and Discrimination of Citrus Orchards using Satellite Imagery over Sirsa District of Haryana
In the recent era mapping of particular crop becomes an interdisciplinary nature in which agricultural and geo-informatics sectors comes together and monitoring the particular crop. In order to analyze the potential of remote sensing based technology for the mapping of crops in horticulture field, the present study was initiated for the discrimination and classification of citrus orchards with the help of multi-temporal satellite data. To achieve the objectives of the study Multi-date Sentinel-2 images covering the study area were acquired. The major challenge was to discriminate the Citrus plantation from agriculture and other plantation cover. After analyzing the multi-temporal data the optimum dates depicting the clear differentiation between the citrus plantation and associated other agricultural and horticultural crops were selected. The NDVI of the selected optimum multi-date data was layer stacked. The supervised classification based approach wa performed with the help of ground truth points for the identification and discrimination of Citrus orchards. This study provides the potential of using high-resolution NDVI imagery of Sentinel-2 for the identification, discrimination and demarcation of citrus orchards.
A comprehensive review of the biochar-mediated enhancement of soil acidity, crop performance and soil properties
Biochar, a carbon-rich material derived from biomass pyrolysis, has gained considerable attention as a soil amendment for improving soil fertility and crop productivity. One of the key benefits of biochar is its ability to mediate soil acidity, influencing soil pH and buffering capacity. Biochar can act as a liming agent, raising soil pH in acidic soils, or as an acidifying agent, lowering pH in alkaline soils, through its alkaline or acidic functional groups, respectively. This property makes biochar a versatile tool for managing soil acidity in different agricultural systems. The application of biochar to acidic soils can enhance crop performance by improving nutrient availability, reducing toxic metal concentrations, and promoting microbial activity. Biochar can also increase the cation exchange capacity (CEC) of soils, leading to improved nutrient retention and reduced leaching losses. Furthermore, biochar-mediated enhancement of soil pH can promote the dissolution of minerals and the release of essential plant nutrients, such as phosphorus, calcium, and magnesium, which are often limited in acidic soils. Apart from influencing soil acidity and crop performance, biochar can also improve other soil properties. Biochar can enhance soil water holding capacity, reduce soil erosion, and increase aggregate stability, thereby improving soil structure and fertility. Biochar can also sequester carbon in the soil, contributing to climate change mitigation by reducing greenhouse gas emissions. In this review, we summarize the current state of knowledge on the effects of biochar on soil acidity, crop performance, and soil properties. Overall, biochar-mediated enhancement of soil acidity can have profound positive effects on crop performance and soil properties, making it a promising soil amendment for sustainable agriculture.