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首页> 外文期刊>Applied Engineering in Agriculture >STATUS AND POTENTIALS OF AGRICULTURAL MECHANIZATION IN SUNSARI DISTRICT, NEPAL
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STATUS AND POTENTIALS OF AGRICULTURAL MECHANIZATION IN SUNSARI DISTRICT, NEPAL

机译:尼泊尔桑萨里地区农业机械化的现状和潜力

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Agriculture is the backbone of people's livelihood in Nepal. However, a majority of farmers are constrained to adopt subsistence agriculture and use traditional farm equipment due to varying topography, small and fragmented farm holdings, and lack of investment and infrastructure. This study aims to determine the status and potential of agricultural mechanization in Sunsari district of Nepal through the statistical analysis of data obtained from the field survey and personal interviews of local farmers. The agricultural mechanization in Sunsari district was found to be at a rudimentary stage without some of the typical equipment like power tillers, seeders, trans-planters, weeders, and crop harvesters. Major power sources in the district were found to be human labor, draft animals, and tractors; the latter was used only for land preparation and transportation. Tractors seemed to reduce the labor utilization, especially labor use for land preparation but they did not show much influence on crop yield and cropping intensity. The family income was much higher in tractor-owned farms than bullock farms due to the higher income from off-farm activities. The potential levels of mechanization in the study area were categorized using geographic information system (GIS) mapping and it was observed that about 96.8% of the total cultivated area can be covered using tractor, and 1.5% can at least be served with power tillers. In the remaining 1.7% area, neither tractor nor power tiller can operate efficiently.
机译:农业是尼泊尔人民生活的支柱。但是,由于地势变化,农场拥有的零散和零散以及缺乏投资和基础设施,大多数农民被迫采用自给农业并使用传统的农业设备。这项研究旨在通过对实地调查和当地农民的个人访谈获得的数据进行统计分析,以确定尼泊尔桑萨里区农业机械化的现状和潜力。发现Sunsari地区的农业机械化处于初级阶段,没有一些典型的设备,例如电耕机,播种机,插秧机,除草机和农作物收割机。人们发现该地区的主要动力是人工,牲畜和拖拉机。后者仅用于整地和运输。拖拉机似乎减少了劳动力的利用,特别是减少了土地整理的劳动力,但对作物的产量和耕种强度没有太大的影响。拖拉机拥有的农场的家庭收入比布洛克农场高得多,这归因于非农活动带来的收入增加。使用地理信息系统(GIS)对研究区域的机械化潜力水平进行了分类,并观察到拖拉机可以覆盖耕地总面积的96.8%,而至少有1.5%可以使用耕till机。在剩余的1.7%区域中,拖拉机和耕till机都无法有效运行。

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