Researchers from Iowa State University (ISU) and the University of Illinious have developed a real-time machine vision system to automate the measurement processes of plant population and spacing for corn plants at early growth stage. The key technology involved in the development of the system is video image processing as crop rows are remotely sensed by a video camera. Image processing algorithms have been developed to optimize the performance and computational efficiency of video frame sequencing and plant identification. The plant population and spacing sensing system is capable to perform real-time video analysis at travel speeds up to 4mph.
|Original language||English (US)|
|Number of pages||1|
|Journal||Resource: Engineering and Technology for Sustainable World|
|State||Published - Sep 1 2005|
ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)