Dear respected authors,
if you can't find our response then please search our mail in your spam box and communicate with us to the following mail as well: yutakaara27@gmail.com
WOS Indexed (2023)
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. 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 Kongzhi yu Juece/Control and Decision Zhenkong Kexue yu Jishu Xuebao/Journal of Vacuum Science and Technology Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) Zhonghua yi shi za zhi (Beijing, China : 1980) Tobacco Science and Technology
04 Oct 2023 (Vol - 54 , Issue- 10 )
31 Oct 2023 (Vol - 54 , Issue 10 )
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 Asia Life Sciences Changjiang Liuyu Ziyuan Yu Huanjing/Resources and Environment in the Yangtze Valley Shenyang Jianzhu Daxue Xuebao (Ziran Kexue Ban)/Journal of Shenyang Jianzhu University (Natural Science) 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 General Medicine (ISSN:1311-1817)
Industrial Engineering Teikyo Medical Journal Tagliche Praxis Bulletin of National Institute of Health Sciences Journal of the Austrian Society of Agricultural Economics
Industrial and Commercial Design International Medical Journal Technology Reports of Kansai University Asia Life Sciences Open Access Journals
Information Engineering Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science) Teikyo Medical Journal International Medical Journal Changjiang Liuyu Ziyuan Yu Huanjing/Resources and Environment in the Yangtze Valley Technology Reports of Kansai University
Chemical Engineering Open Access Journals Tagliche Praxis Bulletin of National Institute of Health Sciences Journal of the Austrian Society of Agricultural Economics Azerbaijan Medical Journal Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Food Engineering Zhenkong Kexue yu Jishu Xuebao/Journal of Vacuum Science and Technology Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) Zhonghua yi shi za zhi (Beijing, China : 1980) Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science) Kongzhi yu Juece/Control and Decision Tobacco Science and Technology Shenyang Jianzhu Daxue Xuebao (Ziran Kexue Ban)/Journal of Shenyang Jianzhu University (Natural Science) General Medicine (ISSN:1311-1817) Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Physical, functional and structural properties of alfalfa leaf powder with different particle size
Alfalfa is considered nutritious and beneficial for human health, but it is widely used as animal feed. To develop alfalfa functional food, this study investigated the physical, functional and structural properties of alfalfa leaf powder with particle sizes ranging from 0.063–0.250 mm. The brightness, solubility, and enzyme inhibitory activity of alfalfa leaf powder increased, as the particle size of powder decreased from 0.200-0.250 mm to 0.063-0.08 mm. The angle of repose, compressibility, transition temperature, and melting temperature were the lowest (41.37°, 15.63%, 79.00℃, and 160.54℃ respectively), the swelling index was the highest (4.39 mL g-1), when the particle size of powder ranged from 0.125–0.160 mm. Further analysis of the microstructure showed that the surface roughness, the number of hydroxyls and the crystallinity index decreasing, as the particle size of powder decreased from 0.200-0.250 mm to 0.063-0.08 mm. Results showed that the particle size of alfalfa leaf powder ranging from 0.125–0.160 mm is more convenient to process and prevent obesity, smaller size is more beneficial to prevent hypertension and aging.
Automatic Hand Gesture Recognition using Support Vector Machine
The prehistoric cavemen‟s earliest form of communication was gesture. Human civilization has progressed to a point where verbal communication is quite well developed. On the other hand, nonverbal interaction has not lost its importance. Nonverbal interaction is not utilized only for physically handicapped people but also for a variety of uses like variety of fields, including aviation, surveying and music. It is the most effective way to communicate with the computer without the usage of other devices like keyboard or a mouse. Researchers all over the world are working on developing a reliable and well-organized gesture identification system, particularly hand gesture identification, for a variety of applications. Data collecting, gesture modelling, feature extraction, and hand gesture identification are the primary phases involved in hand gesture recognition system. With the processes listed above, there are various sub steps and approaches. Researchers have used a variety of algorithms or created their own. The current study effect examines the work done over previous two decades and makes a quick comparison to understand the problems and limitations that these systems face. Finally the properties of a reliable and efficient hand gesture system were defined.
Evaluation of tomato (Solanum lycopersicum L.) genotypes for genetic variability, heritability and genetic advance under semi-arid conditions of Haryana (India).
The present investigation was conducted to access the relative performance, genetic variability, heritability and genetic gain in selected set of tomato germplasm, consisting of twenty genotypes along with one standard check variety. The experiment was laid under completely randomized block design (RBD) in three replications at Regional Research Station Karnal, CCS Haryana Agricultural University, during the spring summer season of 2019-20. The observations were recorded for twenty-one parameters pertaining to the morpho-phenological, yield and quality traits in tomato. Statistics from analysis of variance showed substantial differences among the genotypes unveiling the plausible presence of significant genetic variability within the selected germplasm which could be positively exploited in crop improvement programmes. The cynosure of this investigation was yield per hectare (q) which observed moderate GCV (13.67), PCV (13.77) and high heritability (98.57%) coupled with high genetic advance (27.96%). The genotypes namely Castle Rock, PNR-7, DVRT-2, DVRT-6, H-86 and Punjab Upma were found superior in terms of both overall yield and quality, whereas, PHS, H-86, Pusa Gaurav and Palam Pink were found superior in terms of earliness and quality traits.
Backstepping Sliding Mode Control - RBF Neural Network for Dual-Mass Systems
The success of the two-mass system control problem heavily depends on the accuracy information of the load torque. In the paper, a radial basis function neural network structure is proposed to deal with load torque estimation. The estimated value is integrated with backstepping- sliding mode control to guarantee speed tracking performance in the presence of a non-rigid driving shaft. The stability of the closed-loop is proven analytically and illustrated numerically. In addition, the effectiveness of the proposed control is compared with a high gain observer-based structure.
Weed Dynamics and Productivity of Potato as Influenced by Organic Sources of Nutrients and Weed Management
A two year field experiment was conducted during Rabi seasons of 2015-16 and 2016-17 to study the response of organic sources of nutrients and weed management on productivity and weed dynamics of potato. Application of 100% organics (100% recommended N through different organic sources each equivalent to 1/3 of recommended N i.e. FYM+ vermicompost + non edible oil cake) + VAM recorded significantly higher plant height, tuber yield, soil organic carbon, available N, P and K and nutrient uptake which was statistically at par with 100% organics (100% recommended N through different organic sources each equivalent to 1/3 of recommended N i.e. FYM+ vermicompost + non edible oil cake) + marigold for potato on border as trap crop and 100% organics (100% recommended N through different organic sources each equivalent to 1/3 of recommended N i.e. FYM+ vermicompost + non edible oil cake). Whereas, the application of 50% recommended N through vermicompost + biofertilizers for N + rock phosphate to substitute the P requirement + PSB recorded higher net returns and B: C ratio. Amongst the weed management treatments, application of mustard seed meal @ 5 t/ha resulted in highest plant height, tuber yield and soil organic carbon which was statistically at par with application of rice bran @ 4 t/ha and weed free treatment. Significantly lowest weed density, dry weight and nutrient uptake by weeds was recorded with weed free treatment followed by the application of mustard seed meal @ 5 t/ha and rice bran @ 4 t/ha. Among the weed management treatments, highest weed control efficiency was recorded with the application of mustard seed meal @ 5 t/ha followed by rice bran @ 4 t/ha.