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摘要：对农作物长势的动态监测可以及时了解农作物的生长状况和营养状况，便于采取相应管理措施，从而获得作物的高产。本文研究了适合淮安地区的小麦生物量快速、无损的光谱监测技术。以宁麦13、扬辐麦4号和淮麦20三个小麦品种为实验材料，设置0、8、15、22kgN/667m2四个氮肥水平，分别使用GreenSeeker和CGMD302采集光谱数据，并构建基于光谱的生物量反演模型。结果表明，基于GreenSeeker和CGMD302的NDVI均随施氮量的增加而不断增加，NDVI在小麦生育前期呈上升趋势，在生育后期呈下降趋势，并且分别在4月20日和4月27日达到最大值。基于CGMD302的RVI随施氮量的增加而不断增加，且RVI随小麦生育期呈现先上升后下降的趋势，在4月27日达到最大值。小麦叶片、茎蘖、麦穗和植株的生物量均随施氮量的增加呈现上升趋势，并且生物量也随着小麦发育期呈现上升趋势。基于GreenSeeker和CGMD302的NDVI所构建的小麦叶片、茎蘖、植株生物量反演模型拟合程度较高，基于RVI构建的小麦叶片、茎蘖、植株生物量反演模型拟合程度较高。58459
毕业论文关键词：冬小麦，生物量，植被指数，光谱，无损监测
Abstract: Dynamic monitoring of crop growth could keep abreast of the growing crop conditions and crop nutrition, it was easy to take appropriate administrative measures in order to obtain high-yield crops and improve the level of mechanization Huai'an Winter. In this paper, the biomass of wheat for the region's rapid, non-destructive spectroscopic monitoring technology. There are Ningmai13, Yangfumai4 and Huaimai20 of three wheat varieties as experimental material disposed 0, 8, 15, 22 kgN / 667m2 as four nitrogen levels, respectively, GreenSeeker and CGMD302 was used to collect spectral data. The results show that, GreenSeeker and CGMD302 of NDVI was based to increased with increasing nitrogen application rate,which is based on the NDVI GreenSeeker and CGMD302 wheat growth in the early rise and decline in the late fertility , and it reach the maximum in April 20 and April 27.It is Based that CGMD302 of RVI continue to increase with increasing nitrogen rate, and RVI with wheat growth stages increased and then decreased after the first presentation, reaches a maximum at 27 April. Wheat leaves, stems and tillers, wheat and plant biomass with increasing nitrogen rate rise, and also with the development of the biomass of wheat rise. Based GreenSeeker and CGMD302 of NDVI were associated with wheat leaves, stems and tillers, plant high degree of fit. RVI and on wheat leaves CGMD302 the tiller, the higher the degree of fit plants.
Keywords: wheat, biomass, vegetation index, spectrum, nondestructive monitoring
1 前言 3
2 材料与方法 4
2.1 实验设计 4
2.2 光谱数据的采集 5
2.3 样品的采集与处理 6
2.4 数据分析 6
3 结果与分析 6
3.1 NDVI随氮肥处理的变化 6
3.2 NDVI随小麦生育期的变化 8
3.2.1 基于CGMD302的NDVI随冬小麦生育期不同处理的变化 8
3.2.2 基于GreenSeeker的NDVI随冬小麦生育期不同处理的变化 10
3.3 RVI随氮肥处理的变化 11
3.4 RVI随小麦生育期的变化 12
3.5 生物量随氮肥处理的变化 13
3.5.1 叶片生物量随氮肥处理的变化