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)
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:
A field experiment was conducted at the Rajasthan Agricultural Research Institute, Durgapura, Jaipur during two consecutive kharif seasons of 2019 and 2020. The experiment comprises two pearl millet varieties (RHB-173 and RHB-177), transplanting shock preventing methods (No treatment, Triacontanol @ 0.25 ml/litre, Triacontanol @ 0.50 ml/litre and Leaf clipping) and three dates of transplanting (15th June–30th June, 1st July–15th July and 16th–31st July) were replicated thrice in factorial randomized block design. Pearl millet cultivar RHB-173 recorded significantly higher grain yield over RHB-177 during each year of investigation. Among the transplanting shock preventing methods, triacontanol @ 0.50 ml/litre recorded significantly higher plant population at 20 DAT and at harvest with greater seedling vigour index I & II at 20 DAT and grain yield over no treatment and leaf clipping, however, it was found at par with triacontanol @ 0.25 ml/litre. The crop transplanted during 1st July–15th July recorded significantly higher plant population at 20 DAT and at Harvest and seedling vigour index I & II at 20 DAT with higher grain yield as compared crop transplanted during 15th June–30th June, but it was found at par with later transplanted crop (16th July–31st July).
This paper deals with the investigation of modified boost converter with improved voltage gain for automotive audio amplifiers. A new battery powered modified boost converter consisting of two phases used in automotive audio amplifier is presented. The first phase uses a conventional boost converter and the second phase uses its inverted structure. By the proposed technique, a high voltage gain is obtained compared to the conventional boost converter. A 120W circuit is designed with an input voltage of 12V and duty cycle of 0.67 to achieve an output voltage of 60V. The converter achieves voltage gain of five, conversion efficiency of 98.4% and the full load efficiency of 91.35%. A new type of class D amplifier is presented and analyzed. Class D amplifier has high efficiency and used when high audio frequency and low power consumption is required. Simulation of the amplifier for an input voltage of 60V to achieve an output voltage of 62V is presented. A simulation study of the proposed converter and full bridge class D amplifier is carried out in MATLAB/SIMULINK. The performance parameters such as Voltage gain Voltage stress of the switches Inductor current ripple Switching and conduction losses Efficiency Comparison of operation in CCM/DCM are computed and the results are compared with the conventional boost converter circuit. To regulate the output voltage closed loop average voltage and current control is implemented. A hardware prototype of the modified boost converter and full bridge class D amplifier circuit is built to validate the simulation results.
A field experiment was conducted during the winter season of 2015-16 at the student’s instructional farm of Chandra Shekhar Azad University of Agriculture and Technology, Kanpur, to find a suitable combination of chemical and organic nutritional sources for wheat (Triticum aestivm L.). The experiment was conducted under a split-plot design with three replications, treatments comprising of two irrigation levels (I1- CRI, Booting and Milking stages and I2- CRI, Maximum Tillering, Booting and Milking stages) in main plots, two varieties (K 402 and K 1006) in sub-plots and four fertility levels (F₁ - 100% RDF, F₂ - 50% RDF + 5t FYM, F₃ - 50% RDF + 50% RDN, F₄ - 50% RDF + 50% RDN + 5t FYM) in sub-plots. Application of 50%RDF + 50% RDN + 5t FYM recorded signification higher growth and yield parameters, grain (5.22 Mg ha-1) and straw yield (7.39 Mg ha-1) of wheat. The net income (70,270 Rs ha-1) and benefit: cost ratio (1:2.5), irrigation water use (54.4 cm ha-1) and water use efficiency (9.6 kg ha-1mm) were also highest with 50%RDF + 50% RDN + 5t FYM followed by 50% RDF + 5t FYM. However, variety K-1006 performed better than k-402 with all treatment combinations.
Distribution network (DN) fault diagnosis and risk warning are of great significance to the safe and stable operation of power system (PS). At present, the imbalance classification and outlier data greatly affect the accuracy of fault analysis and the comprehensiveness of fault risk levels (FRLs) prediction in urban distribution network (UDN). In this paper, an abnormal data identification (ADI) method of FRLs prediction based on improved natural breaks and ensemble learning is proposed. The method of improved natural breaks is first introduced for threshold movement to achieve dynamic division of FRLs and solve the imbalance problem of fault categories. Then, the prediction accuracy of FRLs and Kappa statistic are used as the new evaluation indicators for ADI. Combined with the accuracy and timeliness of identification, the detection results of each ADI under different data sets with different abnormal proportion are analyzed, and then several specific identification algorithms are selected to form an optimal identification model based on ensemble learning. Finally, the rationality and effectiveness of the proposed method are proved by the actual data and critical node fault simulation data of UDN in a certain area.
A study was carried out during 2019-20 at Agriculture research station, Ummedganj, Kota under Agriculture University, Kota, to assess the effect of phosphorus (P0, P20, P30 and P40), liquid biofertilizer (No seed inoculation and Seed inoculation with Biophos) and growth regulator (control, 75 and 100 ppm Salicylic acid) on growth and quality parameters of summer mungbean [Vigna radiata (L.) Wilczek]”. Among phosphorus levels, P30 recorded significantly higher growth parameters viz., Plant height, Dry matter accumulation, Branches/plant, Nodules/plant, nodule dry weight, yields and quality parameters viz., N and P content and their uptake, protein content and protein yield as compare to control and P20. Seed inoculation with biophos recorded significantly higher growth, yields and quality parameters as compare to no seed inoculation. Spray of 75 ppm SA, being at par with 100 ppm SA and recorded significantly higher growth, yields and quality parameters as compare to control.