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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)
04 Jun 2023 (Vol - 54 , Issue- 06 )
31 May 2023 (Vol - 54 , 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 Asia Life Sciences Changjiang Liuyu Ziyuan Yu Huanjing/Resources and Environment in the Yangtze Valley 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
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 Tobacco Science and Technology
Information Engineering Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science) Tobacco Science and Technology 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
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
Comparative clinical study of coded Unani drug Migcas with Allopathic drug “Migril” for the treatment of Migraine (Shaqiqa)”
Migraine is a common brain illness with a high rate of impairment caused by a variety of aberrant neural networks interacting at various levels of the central and peripheral nervous systems. Researchers have been able to unravel some neurophysiological pathways and neurotransmitter involvement thanks to a surge in interest in migraine pathophysiology, resulting in the recent development of innovative medicines that could significantly alter the clinical approach to migraine sufferers. The objective of this research is to evaluate the efficacy of Unani coded formulations to allopathic medicine in the treatment of migraines. On an animal model, the toxicity index as well as, safety profile of the test medication were evaluated. A single dosage of 2000 mg/kg was administered to Swiss Albino mice in an acute toxicity investigation; while 3 various dosages were given to Wistar rats in a sub-acute toxicity study. RCTs (Randomized Controlled Clinical Trials) were carried out. In an acute toxicity trial, there was no evidence of morbidity or mortality after a single dosage of 2000 mg/kg/day was given. There were no significant changes in food as well as water consumption, body weight, haematological parameters, renal function parameters, liver function test, or lipid profile in the sub-acute toxicity research. The results of a randomized controlled experiment demonstrated that the effect was essentially identical to that of a placebo in the treatment of migraine.
ARTIFICIAL INTELLIGENCE INTO DRIP IRRIGATION OF ROSELLE’S (HIBISCUS SABDARIFFA LINN) CULTIVATION DEVELOPMENT
Hand-made irrigation systems for growing crops is laborious and prone to huge water shortage. Roselle (Hibiscus sabdariffa-linn) is one such crop grown for its high economic and medicinal value which watering is done by hand. It is application includes the production of zobo-a locally produced drink in Nigeria and some West African countries. This work is designed to grow on Roselle crop in the form of an orchard, balcony, gardening, and in offices with watering being automated. A preliminary study of the nature of the soil in the biological garden of the University of Lagos was carried out in 2020. Roselle seeds were purchased locally and they were planted according to standard practice with the seed germinated within 1 - 2 weeks. 6-Soil bags filled with the sampled soil were used for the planting of Roselle which was planted in three rows by two columns in a nursery. The threshold level to irrigate Roselle crops, reference evapotranspiration, Kc were determined from weather data using the Blaney-Criddle method. The Rainfalls and temperatures data in Lagos State, Nigeria, were gathered for one year covering May 2019 to February 2020. The daily water requirement of the Hibiscus sabdariffa for this area was calculated and set as a threshold. There was a link between the Roselle plant through several computer programs and sets of artificially intelligent devices, sensors, pumps that control the water application process. For instance, below the input threshold value, the pump is thus activated through the sensors for irrigation. The Roselle water irrigation systems were developed locally at the Department of Systems Engineering, the University of Lagos as materials for construction sourced locally. They include the Arduino control system, breadboard, power bank, Raspberry Pi, the breadboard, soil moisture meter, Homasy 80 Submersible Water Pump, a USB cord, and a casing were purchased locally at hub360 Arena Oshodi Lagos and the fabrication, coupling, and testing were carried out. The control unit of the irrigation systems sensed the moisture level of the soil under the Roselle plant and were transmitted to the control unit which in turn compared with the predetermined threshold level. The Roselle drip irrigation systems worked perfectly with the set conditions. The soil moisture was measured with a moisture meter in percentage mapped into 0-100 range. Once the moisture value of the soil beneath the Roselle was lower than the calculated threshold value of 3.9 mm/day (39%), the relay will turn ON and the valve automatically opens in readiness to apply the required amount of water(mm). Whenever the moisture value was higher than this threshold value, the relay then tripped off and the pump valve was closed. This system can irrigate about 10m by 10m farm planted with Roselle. All these are displayed for reading on the Nokia LCD 5110 connected to the Arduino board system. To reduce human intervention in monitoring the growth of Roselle (Hibiscus sabdariffa). The automated systems have about 60-70% water management, reduce loss of water and minimize human-labored to the barest minimum.
Field investigation of the tillage and straw cutting performance of a bionic coulter for conservation farming
The working efficiency of disc coulters used for conservation tillage in intensive rice-based farming systems is inhibited by the degraded paddy soils and excessive crop residue conditions. Conventional coulters often experience high working resistance and low straw-cutting efficiency. By embracing bionic designs, the efficacy of coulters can be improved. This study was designed to investigate the working performance of a bionic disc coulter developed by modifying a conventional disc to simulate the arc-shaped profile of the mole rat’s (Scaptochirus moschatus) claw. Field experiments were conducted to evaluate the bionic disc’s tillage resistance forces, straw cutting efficiency, and soil disturbance effects; in comparison to a conventional notched coulter at three tillage depths (i.e., 40, 70, and 100 mm). The study revealed that the bionic disc minimized draft forces by up to 45.24% and vertical resistance forces by up to 23.57%. Meanwhile, the furrow-width disturbances were minimized by up to 31.98% and straw cutting efficiency improved by up to 12.08%. These outcomes demonstrated that the bionic coulter is energy-efficient and well-suited to rehabilitate degraded soils with minimal disturbance, besides managing the excessive crop residues in intensive rice-based farming systems. These advantages would help improve seeding performance in the presence of crop residue cover, create favorable plant growth conditions, and facilitate the smooth flow of field operations. Bionic design of soil-engaging tools therefore improves the working performance of coulters and advances the implementation of conservation farming in intensive farming systems.
An Economic Analysis of Mustard Production in Bundelkhand region of U.P., India
Mustard becomes an essential oilseeds crop with its positive nature of suitability to climate condition for its cultivation, being an important of human diet and industrial uses of its main and by product. Mustard is cultivated in all parts of the world and its oil as well as leaves occupy an important place in human diet. Mustard oil is equally used in the diet of vegetarians as well as non-vegetarians. This study was performed on One hundred twenty respondents who were selected through multistage sampling technique from four villages of Maudaha block of Hamirpur district. Descriptive statistical analysis was used to draw the inferences. Respondents were categorised as marginal, small, medium, and large size of farm. Cost of cultivation were increases with the farm size, the economic condition best in large size of farms compare to other size of farms. Highest cost incurred in the production of mustard was found in large size in farm Rs 49053 per hectare and least in marginal farms (Rs.39295). And over all farms cost of cultivation of mustard crop was found Rs 45292, with highest share of cost as human labour Rs 8038.25, per hectare. On overall gross income was recorded Rs 58496 and net income came to Rs 13202. Large farms gross income was found highest as Rs. 64268 and least was found with marginal farms i.e. Rs.53400 respectively. The overall benefit cost ratio over cost C1, C2, and C3 was found to be 1:2.15, 1:1.42 and 1:1.28 on all farms basis respectively. The coefficient of determination (R2) value was found to be 0.79 for independent variables like phosphorus(X1), nitrogen(X2),man-days (X3),irrigation(X4), seeds(X5). Phosphorous, Nitrogen, Plant protection chemicals and seeds were found significantly contributing in the yield. Man- days and irrigation are found over utilized resource and phosphorus, nitrogen, plant protection chemicals and seeds were found underutilized. The production function has been found increasing returns to scale.
Parallel Delaunay Triangulation for Large Data in Geographic Information System
Every day, data processing becomes increasingly important. It's vital to use high-performance computing to process such big data. There are billions of spatial points in Geographic Information Systems (GIS) to be managed within a reasonable period. One of the basic operations is to prepare triangulation data. This study proposed and implemented methods to produce Parallel Delaunay Triangulation for Large Data in Geographic Information System. Our proposed approach is based on the Divide and Conquer algorithm. The set of points in the regions can be divide into independent partitions, and each partition is separately triangulated. Lastly, we used stitching methods to merge these regions into a single result. In our implementation, we use C++ and MPI to evaluate our algorithm.