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 (2026)
07 May 2026 (Vol - 57 , Issue- 05 )
31 May 2026 (Vol - 57 , Issue 05 )
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
Distribution of major insect pest and their natural enemies on brinjal and their relation with weather variables under Central Narmada Valley Agro-climatic Zone of Madhya Pradesh, India
Brinjal (Solanum melongena L.) is an important vegetable crop grown in across the world. The production and quality of brinjal is seriously influenced by the attack of insect pests. Two year (2018-19 and 2019-20 Rabi) roving survey revealed that four species of insect pests viz., shoot and fruit borer (L. orbonalis) (4.77-20.47 per cent infestation), whitefly (B. tabaci) (1.48-2.29/plant), jassid (A. biguttula biguttula) (1.94-2.83/plant) and aphid (A. gossypii) (1.09-2.27/plant) and three species of predators viz., ladybird beetle (C. transversalis) (0.37-1.27/plant), green lacewing (Chrysoperla carnea) (0.09-0.29/plant) and spider (Oxyopes sp.) (0.02-0.53/plant) were spatially distributed in all three districts (Hoshangabad, Jabalpur and Chhindwara) and associated with both vegetative and maturity stages of brinjal crop. Moreover, relation of weather variables and weather and crop age based prediction models for major insect pest and their natural enemies were derived through a data generated in a two year field experiment at Rehti, Sehore (Madhya Pradesh). Pearson correlation coefficient revealed that two week prier maximum temp was exhibited significantly positive relation with per cent fruit and shoot borer damage (-0.862**) and count of Ladybird beetle (0.535*). Whereas, jassid (-0.570**), Green lacewing (-0.665**) and whitefly (-0.743**) was significantly negative related with current week (jassid & green lacewing) and one week (whitefly) prier maximum temp, respectively. Likewise minimum temp was also followed similar trend of relation with insect pest and predators. Morning and evening RH had non-significant relation with most of the factors except positive significant with green lacewing. Crop age influenced significantly positive with count of whitefly and shoot and fruit borer and negatively with ladybird beetle. Regression analysis revealed that current week of maximum and minimum temperature, morning and evening RH and crop age were most fitted and accounted 76.9, 77.3 and 94.2 % variability in population dynamics of whitefly (R2 = 0.769), jassid (R2 = 0.773) and shoot and fruit borer damage (R2 = 0.942), respectively. Whereas the similar set of one week and two week prier weather parameters were most fitted for the prediction of green lacewing (R2 = 0.847) and ladybird beetle (R2 = 0.681), respectively. This study will be helpful in management of insect pests through timely application of eco-friendly management practices in the region.
Evaluation of disease reaction, yield attributes and yield of chickpea germplasm
Chickpea is an important Rabi food legume grown throughout the world. India is the largest producer and contributes 2/3rd of total production of global chickpea. Productivity of chickpea in India is lesser than some other countries due to various factors. Cultivation of chickpea crop is adversely affected by both biotic and abiotic stresses. Among biotic stresses collar rot is an important limiting factor for the production of chickpea. Collar rot incited by Sclerotium rolfsii is an economical disease of chickpea and causes 10-30 per cent yield loss annually. The disease appears moderate form every year in chickpea growing areas. It causes heavy losses in chickpea sown after harvesting of rice having stubbles in cultivated fields. Keeping in view of the serious and economical losses caused by the pathogen, the present study on assessment and identification of germplasm for resistance source and better yield performing genotypes have been conducted during Rabi 2021-22 at Bihar Agricultural University, Sabour, Bhagalpur, India. In the present investigation, two hundred fifty three germplasm were evaluated for their yield and resistance against collar rot under natural sick plot field conditions. Due to continuous growing of breeding material in same field for the last many years, it has high inoculum load. Among evaluated germplasm none of them were found resistant against collar rot disease. However, two hundred fourteen germplasm lines exhibited moderately resistant, twenty two moderately susceptible, eleven susceptible and six genotypes identified as highly susceptible. All germplasm were also assessed for their yield and yield attributing traits in which ICCV 94954 (2937.50 kg/ha), GL-15209 (2845.84 kg/ha), GL-15131(266.66 kg/ha), CSJ 1065 (2645.84 kg/ha), IPC 2011-141 (2595.84 kg/ha), GNG2475 (2591.66 kg/ha) and RSGD 1174 (2562.50 kg/ha) showed moderately resistant reaction as well as better yield performing genotypes which may be utilized for breeding programme for the development promising entries against collar rot disease.
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.