Click on “Download PDF” for the PDF version or on the title for the HTML version.
If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options.
Development of position monitoring system for multi-spectral image acquisition of crop canopy
Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org
Citation: 2016 ASABE Annual International Meeting 162460998.(doi:10.13031/aim.20162460998)
Authors: Hong Sun, Meng Cheng, Yao Wen, Minzan Li, Man, Zhang, Wei Yang, Lihua Zheng
Keywords: Crop monitoring, Position monitoring, GPS control, Camera control
Abstract. In order to monitor the crop growth status in the field non-destructively, a multi-spectral image acquisition device was installed on the vehicle. When the vehicle moves, it is needed to monitor the sampling position and control the camera. Thus, the position monitoring and camera control system was developed to acquire the sampling position and trigger the camera. The software was developed based on VC++ in the environment of Windows with three basic capabilities including GPS data collection and storage, map drawing, and data management:(1) The GPS data collection and storage is used to provide the location where the vehicle or the camera is working; (2) The map drawing function is used to set and draw the plot boundary and camera location points. If the camera is located in the setting boundary, the control signal will be send to open the multi-spectral camera to capture the image of crop canopy; (3) The data management function helps to display, query and modify the data of GPS and the system setting parameter. The GPS data could be read from the serial port after parameters set correctly. The longitude and latitude of four boundary points were used to draw the plot boundary map. When the camera was located in the setting region, the multi-spectral camera was opened and the sampling position could be tracked. The application experiment was conducted to prove the system function. It could help to measure data efficiently in the field.
(Download PDF) (Export to EndNotes)