摘要
水稻的光合性能与水稻的产量和品质密切相关,传统的水稻光合性能监测由人工完成,具有任务量大和效率低等缺点,高效、无损的监测作物长势,是现代化精准农业的要求。为此,以无人机搭载高光谱仪作为遥感技术平台,对水稻的光合性能进行研究分析,建立了估算水稻叶片类胡萝卜素(Car)含量的监测模型。测试结果表明:5组光谱参数与水稻样本叶片Car含量实测值的回归分析均达到显著相关水平,以SR(723,770)精度最高;进一步检验发现,水稻叶片类胡萝卜素含量实测值与SR(723,770)模型建立的估测值相关性更高,R^2达0.891 5,斜率更接近于1,具有更佳预测效果,可为水稻光合性能遥感监测提供技术支撑。
The photosynthetic performance of rice is closely related to the yield and quality of rice,Traditional rice photosynthetic performance monitoring is accomplished manually,which has the disadvantages of large amount of tasks and low efficiency,It is the requirement of modern precision agriculture to monitor crop growth efficiently and nondestructively,The application of uav-based hyperspectral technology in rice photosynthetic performance monitoring has improved the traditional monitoring situation.In this system,the photosynthetic performance of rice was studied and analyzed with the high spectrometer carried by uav as the remote sensing technology platform,and a monitoring model for estimating the carotenoid content in rice leaves was established.The results showed that 5 groups of spectral parameters were significantly correlated with the measured car content in rice leaves,the accuracy of SR(723,770)was the highest,and further test showed that the measured carotenoid content in rice leaves was more correlated with the estimated value established by SR(723,770)model,R^2 reaches 0.8915,and the slope is closer to 1,which has better prediction effect and can provide technical support for remote sensing monitoring of photosynthetic performance of rice.
作者
梁辉
刘汉湖
何敬
Liang Hui;Liu Hanhu;He Jing(College of Earth Sciences,Chengdu University of Technology,Chengdu 610059,China;Key Laboratory of Ministryof Land and Resources,Chengdu 610059,China)
出处
《农机化研究》
北大核心
2020年第7期214-218,共5页
Journal of Agricultural Mechanization Research
基金
四川省自然科学重点项目(18ZA0061)
关键词
无人机
高光谱
水稻
类胡萝卜素
光合性能
UAV
hyperspectral
rice leaves
carotenoids
photosynthetic performance
