Development of Crop Growth Mapping System Using Machine Vision (Part 2)

Estimation of Crop Growth from Image and Crop Growth Map

Abstract

The method to estimate the crop growth status from the crop rows image, and producing a crop growth map were discussed in this paper. Sugar beets and soybeans were used for this study. The individual vegetation cover area was calculated from the segmented image using CIVE (Color Index of Vegetation Extraction). The relationship between the vegetation cover area and actual measurement of the crop growth (leaf length, root length, plant height and dry mass, ) were analyzed, and the approximation curves were derived. It was concluded that the exponential curves were fitted to the maximum leaf length, the root length and the plant height which represented the “length”, furthermore, the Gompertz curve defined as one of the growth curve was fitted to the dry mass which represented the “mass”. The software which produces the crop growth map from the crop rows images was developed based on these approximation curves.