GIS及模糊神经网络对西南山地烤烟的评估研究

目的]基于GIS及模糊神经网络,为未来攀枝花西南山地种植烤烟区域规划提供生态适宜性指标数据。方法]采用GIS及模糊神经网络技术,通过采集攀枝花西南山地烤烟区土壤和烟叶样品,收集整理攀枝花西南山地气候和地形地貌资料,对烤烟质量以及生产烤烟的生态条件进行相关性分析,从而确定评估西南山烤烟生态适宜性的因子,并对攀枝花西南山地烤烟生态进行适宜性评估。结果]海拔高度、日照时数和土壤类型为攀枝花西南山地烤烟生态适宜性评估关键因子。四川全省9.52%的土地面积为烤烟最适宜区;烟区39.89%的面积为最适宜区,24.20%的面积为适宜区。结论]应用GIS技术以及模糊神经网络技术,对攀枝花西南山地烤烟生态适宜性进行了评估,以攀枝花西南山地气候、海拔高度以及土壤类型作为生态适宜性评价因子,证实目前攀枝花西南山地主要烤烟产区,位于最适宜区与适宜区。

EVALUATION ON FLUE-CURED TOBACCO IN SOUTHWEST CHINA BASED ON GIS AND FUZZY NEURAL NETWORK

This paper analyzed the ecological suitability of flue-cured tobacco in southwest mountainous area by GIS and fuzzy neural network, collected tobacco soil and tobacco samples in southwest mountain area of Panzhihua, assessed the correlation of tobacco quality and ecological conditions. The results showed that altitude, sunshine hours, and soil types were the key factors of ecological suitability evaluation of flue-cured tobacco in southwest Panzhihua. 9.52% of the land area were most suitable for flue-cured tobacco, 24.20% was the suitable area. The mountain tobacco area according to geographical location was divided into 3 major areas, and then the ecological suitability was subdivided into the most suitable, suitable, suitable and unsuitable area. The adjustment and optimization of resources can provide the scientific basis for reasonable utilization of local tobacco planting.