摘要
针对超级稻育秧播种量少,易出现空穴而影响产量的问题,对超级稻高速连续秧盘育秧播种的空穴进行了在线检测。在秧盘育秧流水线的播种和覆表土工序之间加入检测系统,CCD摄像机不断地拍摄穴盘图像,并建立与穴孔相对应的掩模图像,利用定时读取程序,读取缓存中的图像信息。通过图像处理和分析,有效地识别了穴盘空穴,将检测结果以电子表格的形式存储在穴盘空穴数据库中,以供人工补种,进一步降低了秧盘育秧空穴率,提高了超级稻精准育秧的成秧率。
There are the seeding cavities due to the low seeding number of super rice,which have influence on yield in rice.For solving the problem,seeding cavities of the super rice nursing tray were detected in continuous seeding process. The vision detection procedure was arranged between seeding and covering soil in rice seeding pipeline.The CCD(Charge Coupled Device)camera shot tray images continuously,and mask images were obtained which were consistent with the tray seeding cavities.The image information of stor...
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2009年第2期121-125,共5页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家自然科学基金资助项目(50775078)
国家"十一五"科技支撑计划项目(2006BAD28B01)
广东省高等学校人才引进科研资助项目
黑龙江省自然科学基金资助项目(E200841)
关键词
机器视觉
图像处理
CCD摄像机
空穴检测
精密播种
秧盘育秧
超级稻
computer vision
image processing
CCD cameras
seeding cavity detection
precision seeding
tray nursing seedlings
super rice
