Guidance Line Detection for Strawberry Field in Greenhouse

In order to implement the accuracy and robust of vision navigation, the method of guidance path detection for strawberry field in greenhouse was studied. The color images are transformed into grey scale images in three different color space to make comparing among them and find an optimal one, resulting in good contrast between plant material and soil background in G-R color space. Plants in the images were successfully recognized from complex background with plastic film, ray of light and shadows. A threshold segmentation based on iterative method was proposed to obtain binary image. A simple center point detection method was adopted to find the row crop. A crop ribbing recognition method based on Hough transformation was proposed to eliminate the influence of weeds. Experiment results prove the method is effective to get the target guidance path in the complex greenhouse environments and is simple and meets real-time need.