The main focus of the study is to implement and evaluates the DCT based plant leaf disease recognition using subtractive clustering for automatic recognition and classification. The proposed methodology of the study includes image processing and recognition by classification. The method consists of four phases: First, capturing plant leaf disease images and perform color space transformation, i...

In this paper, a novel shape description and matching method based on multi-level curve segment measures (MLCSM) is proposed for plant leaf image retrieval. MLCSM extracts the statistical features of shape contour via measuring the curve bending, convexity and concavity of the curve segments with different length of shape contour to describe the shape. This method not only finely captures the g...

Leaf disease of plants causes great loss in productivity crops. So proper take care is mandatory. Plants can be affected by various diseases. Early diagnosis leaf a good practice. Computer vision-based classification way diagnosing diseases early. detection lead to better treatment. Vision based technology identify quickly. Though deep learning trending and using vastly for recognition task, bu...