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
DECISION-MAKING APPROACHES TO TRACTOR SELECTION USING TOPSIS AND WASPAS METHODS
Conducting evaluations according to various criteria during decision making can be accomplished using special multicriteria decision-making methods (MCDM). MCDM comprise approaches and techniques that attempt to reach the “most appropriate” solution that meets more than one conflicting criterion. Multicriteria decision analysis has been used in a wide variety of fields, such as energy management, environmental planning, public services, healthcare, transportation, logistics, marketing, human resources management, and finance. There are also studies within the field of agriculture and during the selection of farm equipment, such as tractors; however, not in sufficient quantity. Making decisions using MCDM on agricultural issues will provide better information to farmers to help them make informed buying decisions. The aim of the present study was to choose the most suitable tractor based on the factors and criteria that farmers consider during tractor selection using MCDM. For this, two MCDM were used—technique for order preference by similarity to ideal solution (TOPSIS) and weighted aggregated sum product assessment (WASPAS). Interviews were conducted with farmers and sales personnel to determine and evaluate the criteria, and the methods were implemented and ranking was determined based on the data received.
Structural design of the Venturi fertilizer tube used in side-deep fertilization device for rice paddies and its simulation experiment by Fluent
Venturi tubes are widely used as feeders in pneumatic conveyance systems because of their effect of accelerating gas flow in the tube and sucking the material from the feed port. Based on the principle of Venturi effect, a Venturi fertilizer tube for use in a side-deep fertilization device with the pneumatic conveyance system in rice paddies was designed in this paper. The airflow field in the new Venturi fertilizer tube was then simulated to test its effect of accelerating gas flow and its ability to suck fertilizers from the feed port, using the computational fluid dynamics (CFD) software, Fluent. The key structural parameters of the Venturi fertilizer tube are as follows: airflow inlet and outlet diameter (21.6 mm), contraction angle (21°), diffusion angle (8°), throat diameter (15.12 mm), throat length (15.12 mm). The simulation results showed that the maximum velocity at the throat section and the diffusion section in the Venturi fertilizer tube is 52.03 m/s, and the maximum velocity at the outlet is 40.8 m/s, which is 2-3 times the velocity of the airflow inlet. This clearly illustrates the acceleration effect on the gas flows. There is also a weak airflow movement from top to bottom generated by differential pressure at the feed port, and the maximum gas velocity is 5.8m/s at the bottom of the feed port. Therefore, the Venturi fertilizer tube can draw the fertilizers from the feed port by suction. In conclusion, the behavior of the Venturi fertilizer tube designed in this paper is consistent with the principle of Venturi effect, which verifies the rationality of its structural design. This research provides guidelines for designing the structure and optimizing the design parameters of a Venturi fertilizer tube in a side- deep fertilization device with the pneumatic conveyance system for rice paddies.
Effect of Integrated Nutrient Management on Yield and Yield attributes of chilli (Capsicum annuum L.)
India is the largest producer, consumer and exporter of chilli. The imbalance and continuous use of chemical fertilizers has detrimental effect on soil physical, chemical and biological properties thereby affecting the sustainability of crop production, besides causing environmental pollution Therefore, there is an urgent need to limit the usage of chemical fertilizers and the usage of organics should be increased which is needed to check the yield and quality levels. Keeping this in view, the present investigation was undertaken during the summer season of 2019-20 at the Research Farm of the Department of Vegetable Science, CCS Haryana Agricultural University, Hisar, Haryana to evaluate the effect of integrated nutrient management on the yield and yield attributes of chilli. The Seed material of chilli cv. “Kashi Anmol” was grown with thirteen different treatment combinations. The experimental results revealed that the application of Recommended NPK + Vermicompost @ 2 t/ha + Azotobacter (T3) which was at par with treatment T5 (50 % NPK + FYM @ 12.5 t/ha + Vermicompost @ 2 t/ha + Azotobacter) and T4 (Recommended NPK + FYM @ 12.5 t/ ha + Azotobacter) and performed superiorly over the other treatments with remarkably higher values for yield and all the yield attributes viz., fruit length (cm), fruit girth (cm), number of fruits per plant and average fruit weight (cm). Therefore, to reduce the cost of chemical fertilizers with maintaining sustainability of soil fertility and for higher yield and benefit-cost ratio the chilli crop may be supplied with 50 % Recommended NPK + FYM @ 12.5 t/ha + Vermicompost @ 2 t/ha + Azotobacter as per treatment (T5). During the investigation the net returns and benefit cost ratio was also found higher in these treatments.
RADAR TARGET CLASSIFICATION USING ALEXNET CNN AND MACHINE LEARNING MODELS
Classification of the radar targets using efficient convolution neural networks is proposed. It uses the time-frequency image features of the target for classification. Machine learning is an extremely time-consuming process as the feature extraction of the image needs strong knowledge of the subject and domain. To overcome this, deep learning is used to automate the process of feature extraction. The simple and complex targets are modelled using a dedicated machine learning algorithm, and their respective spectrogram images are created. These are partitioned into training and testing data sets for training the CNN (alexnet) and hybrid models of CNN where the feature extraction is done using CNN and classifying the target is done using machine learning algorithms like SVM, KNN. A frequency domain filter using CNN is used to pre-process the time-frequency image features for frequency smoothing and dimension reduction. The hybrid model of CNN with an SVM classifier resulted in high accuracy with good performance.
Effect of post-harvest treatments on physicochemical properties and relative economics of Indian Jujube fruits during ambient and cold storage
To study the effect of post-harvest treatments on physico-chemical properties and relative economics of Indian Jujube during ambient and cold Storage conditions fruits was conducted during 2019 at Department of Horticulture, S.K.N. College of Agriculture, Jobner, Rajasthan. Fruits samples were analysed in 3 days’ intervals for 12 days in ambient storage conditions and 21 days in cold storage conditions for various physico-chemical characteristics. Results revealed that decay loss of fruits increased with storage period whereas, marketability, fruit volume, pulp per cent, pulp: stone ratio and TSS: acid ratio showed a declining trend with advancement of storage period under ambient and cold storage conditions, respectively. Whereas, reducing sugars and non- reducing sugars showed an increase up to 9 days of storage in ambient storage conditions and up to 12 days of storage in cold storage conditions, but after 9 days of storage in ambient storage conditions and after 12 days of storage in cold storage conditions, a decline trend was observed. Economics calculated showed feasibility as on a total input of Rs. 2747.10 and Rs. 3313.20 is earned as gross returns with a net return of Rs. 384.10 with 1.21:1 B: C ratio on 9th day in ambient storage conditions and in cold storage conditions on 15th day of storage a total input of Rs. 3902.10 and Rs. 4457.75 is earned as gross returns with a net return of Rs. 555.65 with 1.14:1 B: C ratio. On the basis of these findings, it may be concluded that of ber fruits is possible for 9 days after in ambient storage conditions and 15 days after in cold storage conditions with treatment of fruits by 1.5% CaCl2 retained the physical, chemical and sensory qualities.