CAJ | 학술논문

为了快速估测大田冬小麦叶绿素含量指标，指导冬小麦抽穗期追肥管理，基于光谱分析技术在可见光和近红外波段（325～1075nm）处，对陕西省杨凌区揉谷镇粮食基地的冬小麦进行长势检测、分析。试验在1000 m ×600 m 区域内划分为30个采样区进行数据采集，使用 ASD FieldSpec HandHeld 光谱辐射仪（ An-alytical Spectral Devices ．， USA ）采集冬小麦的冠层光谱反射率数据，使用 SPAD－502 Plus 便携式叶绿素仪测量小麦倒一叶和倒二叶的叶绿素指标（ SPAD 值），使用 G738 CM 型手持式 GPS 记录采样点的位置信息。分别进行冠层光谱反射率小麦倒一叶和倒二叶的预处理，结果表明：冠层反射光谱倒二叶的 SPAD 值相关系数高于倒一叶。基于相关性分析，选取4个敏感波段538、661、740、850 nm 分别与预处理前后的光谱数据进行多元线性回归分析，结果表明：预处理后的模型精度较高，建模精度 R2＝0．83，验证建模精度 R2＝0．7。同时，绘制了大田作物长势分布图，可为冬小麦抽穗期追肥提供支持。
위료쾌속고측대전동소맥협록소함량지표，지도동소맥추수기추비관리，기우광보분석기술재가견광화근홍외파단（325～1075nm）처，대합서성양릉구유곡진양식기지적동소맥진행장세검측、분석。시험재1000 m ×600 m 구역내화분위30개채양구진행수거채집，사용 ASD FieldSpec HandHeld 광보복사의（ An-alytical Spectral Devices ．， USA ）채집동소맥적관층광보반사솔수거，사용 SPAD－502 Plus 편휴식협록소의측량소맥도일협화도이협적협록소지표（ SPAD 치），사용 G738 CM 형수지식 GPS 기록채양점적위치신식。분별진행관층광보반사솔소맥도일협화도이협적예처리，결과표명：관층반사광보도이협적 SPAD 치상관계수고우도일협。기우상관성분석，선취4개민감파단538、661、740、850 nm 분별여예처리전후적광보수거진행다원선성회귀분석，결과표명：예처리후적모형정도교고，건모정도 R2＝0．83，험증건모정도 R2＝0．7。동시，회제료대전작물장세분포도，가위동소맥추수기추비제공지지。
In order to estimate the chlorophyll content indicators of field winter wheat in real -time and guide fertilizer management in heading period .The detection and analysis was conducted in Yang Ling of Shan Xi province .The test area of winter wheat was 1000 ×600 m2 and it was divided into 30 sampling plots to collect data .The spectral technology was applied .The Analytical Spectral Devices Field Spec HandHeld ( USA ) spectral radiometer was used to collect spectral reflectance data of winter wheat .The visible and NIR band ( 325 ~1050 nm ) reflectance of winter wheat canopy was measured.The portable chlorophyll meter (SPAD-502plus) was applied to measure SPAD index of the pour wheat leaf and the second countdown leaf of each plant .And handheld GPS (G738CM) was used to record the location of sampling points .The preprocessing between the reflectance and the wheat leaf SPAD index was analyzed .It was showed that the relationship between spectral data the second countdown leaves SPAD values higher than the pour leaves .In addition , four sensitive wavelengths were selected at the 538、661、740、850 nm based on correlation analysis .And four sensitive wavelengths respectively proceed to multiple linear regression analysis for the before and after preprocessing .The result showed that the after preprocessing modeling accuracy was 0.83 and validation accuracy was 0.7.The distribution map was drawn by GPS coordinates and modeling prediction result .With the application of spectral technology , it provides a feasible method to detect the winter wheat growth status at heading stage .