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 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:
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.
A field experiment was established at Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur, Madhya Pradesh to find out a suitable crop establishment method (direct seeded rice, system of rice intensification, transplanted rice) and herbicidal applications (bispyribac-sodium at 20 g ha-1, fenoxaprop-p-ethyl at 93 g ha-1, fenoxaprop-p-ethyl at 56 g ha-1) for optimum growth, weed flora, water use efficiency and higher yield in rice. Experiment was laid out in a split plot design with three replications. Herbicide was sprayed at 25 DAS/DAT. Among weed control treatments, hand weeding exhibit maximum grain yield. Among herbicidal application, bispyribac sodium at 20 g ha-1 observed higher crop growth and yield than fenoxaprop-p-ethyl at 93 g ha-1 and fenoxaprop-p-ethyl at 56 g ha-1 maximum plant growth parameters. Among all herbicidal treatments, that post-emergence application of bispyribac-sodium at 20 g ha-1 gave significantly lower total weed density, weed dry weight and higher weed control efficiency at all the stages. The minimum weed index was noted under bispyribac-sodium at 20 g ha-1 in System of Rice Intensification (SRI) treated plots.
Tobacco leaves are mostly harvested manually, which consumes a lot of time and labor. To develop the tobacco leaves harvester, the harvesting mechanism which is the core component of the harvester was studied. Firstly, the mechanical harvesting model of tobacco leaves was established based on ADAMS software. The operating parameters that affect the mechanical harvesting of tobacco leaves are the rotation speed of the harvesting tool, the feeding speed of the harvesting tool, and the installation angle of the harvesting tool. To increase the harvesting rate and reduce the breakage rate, these three operating parameters were used as variables for simulation experiments. Through the analysis of the simulation experiments, nine groups of appropriate operating parameters were obtained, which can be used as guiding parameters for actual harvesting work. Secondly, the tobacco leaves harvesting test-bed was designed and manufactured to verify the simulation results. Based on the simulation results, orthogonal experiments were designed. In addition, two groups of harvesting tools with different hardness were used for experiments. The orthogonal experiments results revealed the effects of the rotation speed, the feeding speed, the installation angle, and the hardness of the harvesting tool on the harvesting rate and the breakage rate. Finally, the optimal combination of operating parameters was obtained, which is 0.9 m·s-1, 175 r·min-1, 8º. When the hardness of the harvesting tool is 56 HA, the mechanical harvesting of tobacco leaves can reach the harvesting rate of 90% and the breakage rate of 14%.
A field experiment was executed in line with split plot deign in triplicate in two successive years of 2016-17 and 2017-18 at the Agricultural Research Farm, Banaras Hindu University, Varanasi (U.P.) to contrast the effect of cow urine application at varying fertility and zinc levels on growth and yield of irrigated wheat (Triticum aestivum L.) and their residual effect on fodder maize (Zea mays L.). Two fertility levels (100 and 75% RDF), three zinc (0, 5 and 10 kg Zn ha-1) and cow urine levels (0, 12000 and 8000 l ha-1 equally applied at sowing and CRI and spike emergence) were applied. RDF at 100% in previous wheat evinced significantly maximum (p=0.05) rally in green and dry fodder yield of fodder maize through highest plant height and number of green leaf plant-1 as well as net returns with exception of SPAD value (Leaf chlorophyll content). In parallel, fodder maize response in the matter of green and dry fodder yield via highest plant height and number of green leaf plant-1 as well as net returns except SPAD value (Leaf chlorophyll content) was significant at 10 kg zinc ha-1. Nevertheless, it could not differ at the significance level with 5 kg Zn ha-1. However, various cow urine levels applied in preceding wheat crop were not exerting any residual effect on growth, yield and economics of maize, suggesting that residual effect of 100% RDF, 10 kg Zn ha-1 applied to previous wheat was remunerative to fodder maize under similar soil and weather conditions.