Analysis of nutritional deficiency in citrus species tree leaf using image processing

摘要

Citrus trees are the nutrition food for humans as well as animals. However, due to the uncertain climatic conditions, it will prone to different pathological disorders because of the nutritional deficiency. In Vidarbha regions, citrus suffer from certain deficiencies of essential elements, in which plants gain from the soil. The segmentation of disease symptoms in citrus leaf images can be a valuable aid for the detection of nutritional deficiencies and disorders. In this research, different digital image segmentation techniques have been employed which analyses the regions of the citrus leaf caused by some diseases such as spots and wavy structure. This paper investigates the abnormalities in citrus leaf caused by the diseases by the segmentation methodologies. The nutritional deficiency of the citrus tree is directly reflected on its plants. If any temporal part of the symptom is disconnected then, it can be segmented to its original part using the clustering technique. The disease spots are identified by the clustering where the wavy disorders are segmented by the Kirsch operator. This proposed system analyzes the disorder of the citrus tree by analyzing its leaf using the segmentation technique with the integrated use of clustering feature and the Kirsch operator.