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首页> 外文期刊>Bulgarian Journal of Agricultural Science >NET FARM INCOME AS REFLECTION OF CRITICAL LAND EVALUATION IN WELANG WATERSHED, INDONESIA
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NET FARM INCOME AS REFLECTION OF CRITICAL LAND EVALUATION IN WELANG WATERSHED, INDONESIA

机译：印度尼西亚威唐流域关键土地评价的净农业收入

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摘要

Agriculture activities in Indonesia is currently faced with many dynamic changes and environmental developments and fundamental issues such as population growth and market demand bring about deforestation or conversion of forests toward coffee plant that finally degrade the quality of watershed function. Watershed in several zone of Indonesia are run into environmental degradation especially land resources lead up critical land. Critical land conditions get impact toward soil productivity decreased and finally farming had been economics losses. As is it known that farm declared loss if total of cost larger than revenue in calculated of farm analysis. The purpose of this research is to determine the profile of the criticality of the highlands of Welang watershed and know the area which has the highest profit in the cultivation of coffee. Sample a coffee grower 60 spread of at Purwodadi, Prigen and Tutur District, Pasuruan, East Java. Data analysis technique used is the calculation of farm analysis and statistical tests using One Way Anova and supported by Geographic Information System (GIS) spatial analysis. The results showed that the regions with the highest coffee farm profits are Purwodadi but less efficient in production expenses than Prigen.Tutur had lowest rated coffee production areas it is necessary to reconsider the physical suitability parameters topography, climate and soil.
机译：印度尼西亚的农业活动目前面临着许多动态变化和环境发展，以及人口增长和市场需求等基本问题带来了森林砍伐或转换森林对咖啡厂，最终降低了流域功能的质量。在印度尼西亚的几个地区的流域被纳入环境退化，特别是土地资源领先临界土地。临界土地条件对土壤生产力的影响降低，终于农业造成的经济损失。正如已知农场宣布亏损，如果总成本大于收入在计算出农场分析中。本研究的目的是确定威辛流域高地的关键性的剖视，了解咖啡培养中具有最高利润的地区。样品咖啡种植者60在Purewodadi，Praigen和Tutur区，帕瑟颈，东爪哇省的蔓延。使用数据分析技术是使用一种方式计算农场分析和统计测试，并由地理信息系统（GIS）空间分析支持。结果表明，咖啡农场利润最高的地区是Purwodadi，但生产费用的效率低于Prigen.Tutur的额定咖啡生产区是必要的，重新考虑物理适用性参数的地形，气候和土壤。

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