Detection of Plant Location Based on Spectral Analysis Using GIS, GPS and Remote Sensing

In this study, plant position determination was made based on multispectral remote sensing for high-precision agricultural applications targeting the plant itself. In order to determine the plant location, silage corn was planted. Ground control points were fixed for geo-referencing purposes on the subjects determined for the purpose of taking images. Multispectral images were taken with a UAV and plants were detected by image processing after spectral analysis. The plant positions in the images were determined with GIS and the difference between the real plant positions measured with RTK-GPS was determined by calculating rmse values. 96% of the plants in all images taken could be identified. The average rmse value calculated using the coordinates of the plants detected in the images and the real plant coordinates determined by RTK-GPS was found to be 87.99 mm.