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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.

Submission Deadline
03 Jul 2022 (Vol - 53 , Issue- 07 )
Upcoming Publication
31 Jul 2022 (Vol - 53 , Issue 07 )

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:

Azerbaijan Medical Journal Gongcheng Kexue Yu Jishu/Advanced Engineering Science Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery Interventional Pulmonology Interventional Pulmonology (middletown, de.)
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

Development of Image Analysis method for physical characterisation and determination of fibre content by physicochemical analysis of banana pseudostem

Paper ID- AMA-08-12-2021-10934

Banana pseudostem varieties from triplod cultivars of Musa acuminata (A) and Musa balbisiana (B) were evaluated in this study for fibre content through image analysis techniques. The samples were dried at 600C in tray drier and were subjected to proximate analysis. At the moisture content of 95.60,94.65,93.20,93.20 and 97.40% for five different cultivars namely Poovan (AAB), Neypoovan (AAB), Rasthali (AAB), Karpuravalli (ABB) and Monthan (ABB) proximate analysis showed Monthan has the highest fibre content (38.4±0.32) and lowest fat content (3.5±0.02). Morphological analysis including size and colour was performed through image processing using LabView software and validated with standard measurements(p≤0.05). Acquired images were subjected to histogram representation through R, G and B components showed a wide range from 5 to 255 for different varieties. The results indicated that colour of Monthan variety (ΔE 57.88±0.3) is lowest compared to other varieties and hence more suitable for development of fibre enriched food products. Image processing was used to measure the external and internal properties of intact fibre in the banana pseudostem for its effective quality grading.


Paper ID- AMA-08-12-2021-10933

Dazomet can effectively suppress the outbreak of blight by killing a variety of nematodes and pathogens in the soil. There are few studies on the application dosage and the uniformity of dazomet by mechanized spreading. The motion model of dazomet, which can be the theoretical basis for experimental study, was obtained by analyzing the motion characteristic of dazomet in the centrifugal disc spreading process. Taking rotation speed of the spreading disk, opening degree, and forward speed as control factors, and the application dosage and the uniformity (transverse coefficient of variation) of dazomet in the designated spreading area as evaluation index, a bench test based on Box-Behnken Design (BBD) test method was carried out. Quadratic regression equations of application and uniformity amount with control factors were established respectively. In the end, a strategy to determine the combination of working parameters was proposed, and a verification test is carried out to confirm the accuracy and rationality of the strategy. The results indicate that the combination of working parameters based on the strategy meets the technical requirements of the dazomet spreading.

Design and Experiment on Device of Shallow Turning and Subsoiling under Specific Agronomic Requirements of Potato

Paper ID- AMA-08-12-2021-10932

Aiming at the problems such as single working performance and poor effect of subsoiling and turning soil in the operation process of potato tillage machinery, a shallow turning and subsoiling device is designed and its main structure, working principle, and corresponding agronomic requirements are described. The conditions of plowing during shallow turning and the forces between subsoiler and furrow slice during subsoiling are analyzed. The factors that affecting the effect of plowing and the quality of subsoiling operation are determined. The rotating orthogonal combination experiment is used to optimize the key components, taking the plough body angle, plough body tillage depth, subsoiler tillage depth and machine operation speed as experimental factors, the plowing rate and the tillage depth stability as experimental indexes, analyzing field test results. The structure parameters and operation parameters of shallow turning and subsoiling device are optimized by optimization module in Design-Expert 8.0.6 software, the angle of plough body is 35°, the tillage depth of plough body is 179 mm, the tillage depth of subsoiler is 356 mm, and the machine operation speed is 1.16 m/s. The experimental results demonstrate that the plowing rate is 86.23% and the tillage depth stability is 92.17%. The soil tillage requirements before potato planting can be met, the reference for design and application of potato tillage machinery is provided.

Artificial Reproduction of Snout Otter Clam (Lutraria rhynchaena Jonas 1844): An Improvement for Spawning Induction

Paper ID- AMA-07-12-2021-10930

The snout otter clam Lutraria rhynchaena - “Tu hai” is one of the seafood sources with very high nutritional and commercial values in Viet Nam. Currently, it is being cultured commercially in the northern and the central provinces. For the limited availability of seed, however, it could have met the demand for consumption in the markets. This research was performed to trials and optimized method of spawning induction so as to record seed artificial reproduction. The broodstocks were stimulated to reproduce in some different methods such as high thermal shock by weak sunlight exposure, low thermal shock, and high pH shock in natural seawater. The results showed that pH shock at 9.5 for 20 minutes and the low thermal shock at 15oC for 20 minutes were suitable for spawning. Both of the above methods yielded 100% of the broodstocks to reproduce, the reproductive indexes were high and the ratio of unfully developed veliger larvae stage was low. These results suggested that these two methods of stimulation could be processes of the artificial production of “Tu hai” for commercial scale.

Implementation of Apple's automatic sorting system based on machine learning

Paper ID- AMA-07-12-2021-10929

In order to reduce post-harvest losses, the classification of fresh apples is crucial. Taking the hierarchical transmission control system as the object, the research was carried out on the verification of the bus network can flexibly expand the motor equipment, the stable and reliable operation of the motor, and the accuracy of Apple's classification. Combine Labview virtual instrument technology to realize the design of Apple's hierarchical transmission control system based on Controller Area Network technology. Fuzzy PID and traditional PID algorithms are used to simulate and realize the operation of brushless DC motor, and compare the advantages of brushless DC motor control based on fuzzy PID to ensure the safe and stable operation of the system. Using the machine learning algorithms model for color detection, the Support Vector Machine algorithm model finally achieved the classification of the three types of apple samples with a recognition rate of 96.7%.