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
Equilibrium stability of a ribbed three-layer shell
A computational model is constructed and an algorithm for investigation of the stability of a three-layered sloping shell supported by transverse stiffness ribs is developed. The variational method, based on the principle of possible displacements, is used to derive the differential stability equations for the region of the shell enclosed between the edges, as well as the conditions along the edge lines and along the edges of the shell. There was developed a program for the numerical implementation of the author's methodology, it was implemented in the Wolfram Mathematica environment. It is shown that there is a finite value of the moment of inertia of the ribs that supports the shell, at which the maximum critical stress (the critical moment of inertia of the rib) can be reached, which is determined from the stability equation. As an example, we consider a square in plan shell, supported by one and three stiffness ribs. The values of the critical moment of inertia of the rib are presented, which were determined both with regard to the edge Reissner effect and without taking it into account. The dependences of the critical load parameter on the linear dimensions of the shell, reinforced by one and three transverse stiffness ribs, are plotted.
On -line ion concentration monitoring of macronutrients using separate ISE unit
For an efficient closed hydroponic system for recycling nutrient solution, it is necessary to precisely measure the ion concentration of the macronutrients in the discharged nutrient solution. Nutrient imbalance in the solution can cause plant growth failure, substantial fertilizer waste, and environmental pollution. To optimally recycle the discharged nutrient solution, it is necessary to measure the individual ion concentration. This study was conducted to develop a computer-controlled on-line monitoring system using commercial ion selective electrodes (ISEs); these electrodes measure the ion concentration of macronutrients (K, Ca, NO3) in discharged nutrient solutions. The developed system was applied to a Proefstation voor tuinbouw onder glas te naaldwijk (PTG) nutrient solution for lettuce. The system mainly consists of processing units including a pumping device, a sensor, an agitator, a rinsing device, and control units including the controller, control program, and interfacing device. Particularly, a separate measuring container was used for each ISE in this study. The selected ISEs were tested for time response characteristics and the drift effect to analyze the electromotive force (EMF). The sensitivities of the three electrodes (K, Ca, NO3) were evaluated using concentration controlled standard solutions. The EMF values exhibited high linearity (R2 = 0.99) with the log values of the ion concentration in the regression analysis of all the Ca, and NO3 ion ISEs. A monitoring algorithm was programmed using LabVIEW to control the entire process, which involved the discharged solution sampling, standard solution and ionic strength adjuster (ISA) control, ion concentration measurement, and rinsing & keeping of the electrodes. A two-point calibration method was used in every measurement to compensate for the drift, bias, or long-term change in the electrode response. Various diluted solutions with the PTG nutrient solution for lettuce were used to test the measuring performance of the developed system. The ion concentration of the diluted solution was determined based on the real concentrations in the discharged nutrient solution measured during the lettuce cultivation experiment. The concentrations measured by the developed system and real ion concentrations exhibited high linear correlation. Overall, the measuring errors of all the ISEs were below 4.0% within the concentration range.
Present status of chickpea Fusarium wilt caused by Fusarium oxysporum f. sp. ciceris
Fusarium wilt incited by Fusarium oxysporum f. sp. ciceris is one of the important fungal diseases of chickpea responsible for causing substantial yield losses. This paper summarizes the plethora information available on Fusarium wilt of chickpea in regard to history, geographical distribution, symptomatology, disease epidemiology and various management tactics viz., chemical, plant extracts, biological along with future prospects.
Effect of Seed Priming and Plant Geometry on Growth and Yield of Wheat in Modified System of Wheat Intensification Under Irrigated Sub Tropics of Jammu
A two year field experiment was conducted to investigate the effect of seed priming and plant geometry on growth and yield of wheat crop in modified system of wheat intensification under irrigated sub tropics of Jammu. Experiment was laid out in randomized block design with three replications and ten treatments viz.conventional sowing (Check), un-primed seed sown at plant geometry of 20 cm × 5 cm, un-primed seed sown at plant geometry of 20 cm × 10 cm, un-primed seed sown at plant geometry of 20 cm ×15 cm, un-primed seed sown at plant geometry of 20 cm × 20 cm, conventional sowing of primed seed, primed seed sown at plant geometry of 20 cm × 5 cm, primed seed sown at plant geometry of 20 cm × 10 cm, primed seed sown at plant geometry of 20 cm × 15 cm and primed seed sown at plant geometry of 20 cm × 20 cm to assess the effect of seed priming at different geometry on growth and yield of wheat under MSWI. The results indicated that highest growth attributes and grain yield of wheat i.e.5244.7 kgha-1 was recorded in primed seed sown at plant geometry of 20 cm × 5 cm which was statistically at par with primed seed sown at plant geometry of 20 cm × 10 cm and conventional sowing of primed seed. Further, primed seed at different plant geometry also significantly improve growth attributes of wheat as compared to un-primed seed.
Crop Production Forecasting in Turkey by using Time Series and Machine Learning Algorithms
The objective of this study is thus to find suitable time series machine learning models of forecasting for cereals, vegetables, fruits, and wheat production in Turkey. Turkey, situated at the crossroads of Asia and Europe, is among the larger countries of the region with a population of over 85 million in terms of territory. Agriculture employs about a quarter of the workforce and generates most of the income and employment in rural areas. We examined five machine learning algorithms, including autoregressive integrated moving average (ARIMA), Prophet, elastic-net regularized generalized linear (GLMNet), random forest, and eXtreme Gradient Boost (XGBoost) using R programming. The performance of the algorithms was evaluated using the mean absolute percent error (MAPE). As a result, the algorithms that give the best estimates based on the MAPE error metrics were found as ARIMA and GLMNet.