利用计算机视觉技术实现对温室植物生长的无损监测

利用计算机视觉技术对温室植物生长进行无损监测，获取植物生长状态信息，对于提高温室的智能化控制水平具有重要意义。在实验温室中设计了一套计算机视觉系统，对黄瓜幼苗生长进行无损监测，同时利用VC++6.0编制的图像分析处理软件，提取植物的外部形态特征：叶冠投影面积和株高。通过对两组无土栽培的黄瓜幼苗叶冠投影面积的连续监测，发现叶冠投影面积的变化趋势可以较好的反映植物的缺肥情况。用图像处理方法测量植株的平均株高与人工测量结果的相关系数可以达到0.927。研究表明，计算机视觉技术应用于温室植物生长的无损监测是可行的，具有广阔的应用前景。

Development of non-contact measurement on plant growth in greenhouse using computer vision

Non-contact measurement and monitoring of plant growth using computer vision has great significance in improving the level of intelligent control in greenhouses. A computer vision system which can be used to monitor the growth of cucumber seedlings in a near-real-time and non-destructive way was developed in an experimental greenhouse. Image analysis software which can be used to measure the top projected leaf area(TPLA) and shoot height of the seedlings was developed using VC++6.0. By continuously monitoring the change of TPLA of controlled and treated seedlings, it was found that the change rate of TPLA is a good indicator of fertilizing status for cucumber seedlings. Compared with the manual measured average shoot height, the image processing results yielded a correlation of R²=0.927. These results indicate that computer vision application in greenhouse plant growth monitoring is feasible and promising.