首页> 中文期刊> 《大豆科技》 >模糊C-均值聚类分析的黑龙江省大豆种植业战略分区研究

模糊C-均值聚类分析的黑龙江省大豆种植业战略分区研究

         

摘要

The strategic planning of Heilongjiang soybean planting was established using Fuzzy C-Means Clustering based on soybean total yield, total palnting acreage, amount and rate of fertilizer (pesticide), and climatic factors (total accumulated temperature at surface throughout the whole year, total annual precipitation, and annual illumination). Six main soybean-producing regions were divided, including Fujin, Hailun, Nehe cities. Seven high soybean-producing regions were divided, including Keshan, Baoqing, Wudalianchi cities, and 23 median soybean-producing regions, as well as 23 low soybean-producing regions were also divided. This analysis and evaluation provided the scientific base for making decision on further study of soybean industry development in Heilongjiang Province, and for efficiently utilizing the existing soil resource and achieving take-off of soybean industry.%基于黑龙江省大豆总产量、大豆总种植面积、大豆化肥(农药)施用量、以及气候因素(全年地表总积温、全年总降水量、全年光照)等影响因子,构建黑龙江省大豆种植业战略分区指标体系,采用模糊C-均值聚类算法为区划方法,对黑龙江省大豆种植业进行战略分区。研究结果将黑龙江省富锦市、海伦市、讷河县等6个县市分为大豆主产区,将克山县,宝清县,五大连池等7个县市分为大豆高产区,将穆棱市,密山市,庆安县等23个县市分为大豆中产区,将呼兰区,方正县,木兰县等43个县市分为大豆低产区。为黑龙江省大豆产业发展的进一步研究,高效利用现有土地资源,实现大豆产业腾飞提供科学决策依据。

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