摘要
实时、便捷、可靠的作物营养诊断方法是进行科学的作物施肥管理的基础,也是精确农业的关键技术之一。文章提出利用光谱技术分析不同养分水平的油菜在生长过程中的光谱反射特征,用包含绿、红和近红外三波段通道的电荷耦合器件(CCD)成像技术对植物叶面氮素营养进行非破坏性检测方法,目的是建立能准确反映植物营养状况的检测模型,实时过滤掉土壤噪声和气候条件等环境干扰,实现对植物营养成分进行快速、准确、非破坏性检测。通过试验建立了叶绿素仪数值和全氮含量在油菜中的数学关系模型,结果显示,利用绿、红和近红外三通道图像灰度和反射率关系的经验线性标定模型分析得到的油菜植被指数与叶绿素仪数值间的线性相关系数r可以达到0.927。
Site-specific variable nitrogen application is one of the major precision crop production management operations. Obtaining sufficient crop nitrogen stress information is essential for achieving effective site-specific nitrogen applications. The present paper describes the development of a multi-spectral nitrogen deficiency sensor, which uses three channels （green, red, near-infrared） of crop images to determine the nitrogen level of canola. This sensor assesses the nitrogen stress by means of estimated SPAD value of the canola based on canola canopy reflectance sensed using three channels （green, red, near-infrared） of the multi-spectral camera. The core of this investigation is the calibration methods between the multi-spectral references and the nitrogen levels in crops measured using a SPAD 502 chlorophyll meter. Based on the results obtained from this study, it can be concluded that a multi-spectral CCD camera can provide sufficient information to perform reasonable SPAD values estimation during field operations.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2006年第9期1749-1752,共4页
Spectroscopy and Spectral Analysis
基金
国家自然科学基金(30270773)
高等学校博士学科点专项科研基金(20040335034)
高等学校优秀青年教师教学科研奖励计划(02411)
浙江省自然科学基金人才基金(RC02067)
浙江省教育厅(G20452)资助项目
关键词
多光谱成像
氮素水平
光谱反射率
植被指数
油菜
Multi-spectral imagery
Nitrogen level
Spectra characteristics
Vegetation index
Canola
