摘要
水分和氮素的供应量对花生苗期生长具有显著影响,花生叶片面积能够较为直接地反映花生生长情况。研究一种能够替代人工观察和手动测量的叶面积计算方法,对于高效获取花生生长情况、探究不同水分和氮素施用量下花生生长情况具有重要意义。对不同水氮施用量下花生苗期叶片的生长情况进行分析,确定花生苗期的最适水氮供给量,在适宜花生生长的环境中进行花生的合理种植。一方面可以科学管理花生生长,充分利用轻度盐碱化土地种植花生,提高花生的种植范围和产量。另一方面能够为花生育种提供高效便捷的生长情况分析方法,进行花生叶片参数的快速获取和生长情况评估。为了探究花生苗期生长对水分和氮素的响应,利用目标分割方法进行花生叶片轮廓的分割和提取,采用OpenCV技术获取花生叶片的面积和RGB特征值,利用回归分析法探究水分和氮素含量与花生苗期叶片参数之间的关系,构建花生叶面积生长监测模型,实现了一种低成本高效率的花生苗期叶片参数获取与分析方法,为花生抗旱性等方面的研究提供重要手段。
Supply of water and nitrogen has a significant influence on growth of peanut seedlings,and leaf area of peanut can directly characterize peanut growth.Study on a method of leaf area calculation that can replace manual observation and measurement is of great significance for efficiently obtaining the growth of peanut under different water and nitrogen application rates.Therefore,it is necessary to analyze and explore the growth of peanut seedling leaves under different water and nitrogen application rates to determine the optimal water and nitrogen supply during the seedling stage of peanut,and to carry out the reasonable peanut planting in a suitable environment with which the growth of peanut can be managed scientifically and mild salinised land could be used for planting peanut with improved planting range and yield of peanut on one hand,the parameters of peanut leaves could be obtained efficiently and the growth of peanut could be evaluated quickly and conveniently for growth analysis of peanut breeding on the other hand.In order to investigate the response of peanut seedling growth to water and nitrogen,the target segmentation method was used to segment and extract the peanut leaf contour,OpenCV technology was adopted to obtain the area and RGB eigenvalues of peanut leaves,and regression analysis was carried out to investigate the relationship between water and nitrogen content and peanut seedling leaf parameters,a monitoring model describing peanut leaf area growth was established,and a low cost and high efficiency method for obtaining and analyzing peanut seedling leaf parameters was realized,which could provide an important means for future study on drought resistance of peanut.
作者
王海清
张晓莉
郑效帅
燕海朋
原鲁明
张广军
张宁
Wang Haiqing;Zhang Xiaoli;Zheng Xiaoshuai;Yan Haipeng;Yuan Luming;Zhang Guangjun;Zhang Ning(College of Mechanical and Electrical Engineering of Qingdao Agricultural University,Qingdao 266199;Research Institute of Intelligent Agricultural Machinery&Equipment Industry of the Yellow River Delta,Shangdong Province,Dongying 257000;Shandong Wanshifeng Agriculture Co.Ltd.,Qingdao 266199)
出处
《中国农机装备》
2023年第4期73-79,共7页
China Agricultural Machinery Equipment
基金
国家重点研发计划项目(2022YFD2300100)
山东省主要农作物机械化生产装备协同创新中心。
关键词
花生
非生物胁迫
叶面积
相关性分析
Peanuts
Abiotic stress
Leaf area
Correlation analysis