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作 者:王晓静[1] 张炎[1] 李磐[1] 侯秀玲[1] 冯固[2]
机构地区:[1]新疆农业科学院土壤肥料研究所,乌鲁木齐830000 [2]中国农业大学资源与环境学院,北京100094
出 处:《棉花学报》2007年第2期106-113,共8页Cotton Science
基 金:农业部948项目(2003-Z53);国际植物营养研究所项目(NMS-Xinjiang200201);中组部"西部之光"访问学者培养计划资助
摘 要:为了探讨利用图像处理技术进行棉花氮素营养诊断的可行性,通过多水平的氮肥田间试验,采用数码相机获取棉花冠层图像,分析了不同氮水平下棉花冠层图像色彩参数与施氮量、产量及多个氮素营养诊断指标之间的关系。研究表明:南疆畦灌条件下,氮素营养水平直接影响到棉花冠层光谱反射特性。红、蓝光标准化值与铃期施氮量、产量之间有极显著的线性负相关关系,采用R/(R+G+B)、B/(R+G+B)值可以直接用来诊断棉花铃期的氮素营养状况,或间接估测产量;铃期绿光值G和绿光与红光比值G/R与叶柄硝酸盐浓度、植株全氮和地上部生物量之间都有较大的相关性,可以较为灵敏地反映棉花氮素营养水平,适宜作为氮素营养诊断指标。因此,应用数字图像技术进行棉花氮素营养诊断是可行的。The common methods including testing of total N. stem tissue nitrate and SPAD readings were used to diagnose the nitrogen (N) status of cotton and recommend the nitrogen application rate. However, due to labor requirements and high costs, these methods can hardly be applied to the cotton in field condition. In recent years, with rapid development of remote sensing nearing the ground, digital image analysis method combined with plant test and yield measurement has become another choice in crop nutrient diagnosis. Because N of plant shows obvious effects on chlorophyll constitutes and content directly, nutrition could be detected through digital image analysis of plant canopy. Large quantities of tests have been studied on spectrum character of plant canopy. But few of that were studied on cotton. Therefore, we are trying to research on spectrum character of cotton canopy through digital image analysis method for N status diagnosis. In this study, digital image analysis method, which combined with soil and plant N rapid test, was studied for cotton N status diagnosis. The experiment was conducted within a multi-factorial field trial with three levels of N under channel irrigation at Fenshou farm, Awati county, Xinjiang. The possibility of using digital image analysis method for plant N status diagnosis was studied. The results show significant relationship between color index of plant canopy and N rate, yield, total N, plant nitrate concentration and biomass. Compared with other canopy color index, the normalized intensity of redness and blueness R/(R+G+B), B/(R+G+B) was much better because of its significant lineal inverse relationships correlations with N rate, yield at boll stage. These for N status diagnosis. The plant canopy indexes of G and G/R were good could be suitable indicators correlated with total N con tent, nitrate concentration and biomass. They could be used for N status diagnosis at boll stage. Results showed that digital image analysis method combined with soil and ra
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