摘要
为了快速、无损诊断作物氮(N)、镁(Mg)营养亏缺,该研究提出一种以叶绿素叶面分布特征诊断黄瓜 N、Mg 元素亏缺的方法。在设施栽培模式下精确控制 N、Mg 营养元素的供给,培养黄瓜缺 N、缺 Mg 及对照植株(营养元素正常植株),然后采集对应的高光谱图像并结合化学计量学方法快速、无损检测叶绿素分布。与对照组叶片叶绿素分布相比,缺 N 叶片的叶绿素含量在整个叶面区域偏低,缺 Mg 叶片叶绿素在叶脉之间区域含量偏低。鉴于此,提取叶绿素叶面分布特征(叶片所有像素点对应的叶绿素含量均值及标准差)对 N、Mg 营养元素亏缺进行诊断,对预测集 N、Mg元素亏缺正确诊断率达 90%。研究结果表明叶绿素叶面分布特征可作为一种黄瓜 N、Mg 元素亏缺诊断依据。
Nitrogen (N) and magnesium (Mg) elements play important role in the growth of cucumber plants, N and Mg deficiencies in cucumber plants drastically affects the quality and most importantly yield of agricultural products. In the published papers, chlorophyll content was used as an indicator for diagnosing N deficiency and Mg deficiency. However, leaf with low chlorophyll content appears both in N deficient and Mg deficient plans, which makes it is difficult to simultaneously detect N and Mg deficiencies using chlorophyll content. In this study, new indicators based on chlorophyll distribution features of the whole cucumber leaves were proposed for diagnostics of N and Mg deficiencies. N deficient, Mg deficient and control cucumber plants were cultured in a greenhouse with special nutrient supply. The content of N and Mg nutrient elements in N deficient, Mg deficient and control leaves were determined to test the nutrient status of cucumber plants in N deficient, Mg deficient and Control groups. 100 fresh cucumber leaves were collected and used as samples for detecting a chlorophyll distribution map. Firstly, hyperspectral images of cucumber leaves in the calibration set were collected and chlorophyll content of the cucumber leaves was determined using high performance liquid chromatography technology. Chlorophyll content calibration models were built using the hyperspectral images and chlorophyll content. Secondly, the hyperspectral images and chlorophyll content of cucumber samples in testing set were used to test the chlorophyll content calibration models, and the chlorophyll content calibration model with the best performance was selected as the optimal calibration model. The chlorophyll content distribution maps of N deficient, Mg deficient and control cucumber leaves were measured using the optimal chlorophyll content calibration model. After hyperspectral image collecting, hyperspectral image data of N deficient, Mg deficient and control leaves were obtained. Then, the spectral data of every pixel in the hyp
作者
石吉勇
李文亭
胡雪桃
黄晓玮
李志华
郭志明
邹小波
Shi Jiyong;Li Wenting;Hu Xuetao;Huang Xiaowei;Li Zhihua;Guo Zhiming;Zou Xiaobo(School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China)
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2019年第13期170-176,共7页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家自然科学基金（31772073,60901079）
江苏省重点研发计划（BE2016306）
江苏省六大人才高峰（GDZB-016）
江苏省自然科学基金（BK20130505）
中国博士后科学基金（2016M600379）
江苏省高校自然科学研究面上项目（16KJB550002）
江苏省博士后科研资助（1601080B）联合资助
关键词
叶绿素
光谱分析
模型
分布特征
黄瓜叶片
氮元素
镁元素
高光谱成像
chlorophyll
spectrum analysis
models
distribution
cucumber leaf
nitrogen
magnesium
hyperspectral imaging
