The Realization of Crop Line Recognition Algorithm Based on Image Processing

来源 :2015智慧农业国际会议(ICIA2015) | 被引量 : 0次 | 上传用户:liuchun9876
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
  Crop line recognition that is based on image processing is the key to machine vision navigation.
其他文献
the technology developed for Agricultural aerial application is recognized worldwide and used by many aerial applicators on all five continents.
会议
Long-term surface air temperatures at 1.5 m screen level over land are used in calculating a global average surface temperature trend.
会议
With the explosive development of the Internet of things technology in recent years,the Internet of things technology is also used more and more widely in modern agricultural production.
Currently,the construction of agricultural IOT(Internet of Things)depends mainly on the one-time investment of government or state-owned farm and agricultural park.
An autonomous unmanned aerial vehicle-based low-altitude remote sensing(LARS)platform was used to acquire quality images of high spatial and temporal resolution to estimate rice crop growth.
Large variations and rapid growths of tree liners in ornamental nurseries require spray applicators to frequently turn on or off nozzles to prevent excessive pesticide waste.
Root system architecture has become a bottleneck in-depth study of phenotype for plants.
The impact of high temperature on rice yield has been evaluated by using simulation models and control experiments.
Leaf is one of the most important photosynthetic organs of rapeseed(Brassica napus L.).
An intelligent variable-rate air-assisted sprayer was developed to automatically adjust spray outputs to match tree crop shape,size and foliage density for precision pesticide spray applications.