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Identification of Low Growing Zone in Agricultural Land

The objective of our research is to identify the low growing zone in agricultural land. The agricultural land under study is of the citrus food productive land. In this work, we have collected the image dataset of an orange farm, corresponding to the various stages of its growth and representing plant growth in the form of the height of the plants. On this image dataset, various image processing algorithms are applied. Otsu’s thresholding and segmentation are carried out. Further, on the resulting images, the masking technique is applied and finally, the low growing zone is identified in agricultural land. The experimental images show that Otsu’s Method is effective in segmenting the images and identifying the low growing region.