A Review on: Plant Leaf Disease Detection & Classification

Autor: Ketaki A. Kadu, Prof. M.S. Burange
Rok vydání: 2022
Předmět:
DOI: 10.5281/zenodo.6674588
Popis: An expected 70% of the Indian economy relies upon agribusiness. Since there is developing Indian population, which is increasingly dependent on the agricultural yield, generation of the harvests must be improved. The end goal is kept in mind to develop progressively the diseases need to be examined in earlier. Diseases are investigated utilizing different image processing techniques the image processing is the technique which process the digital information stored in the form of images. The plant disease detection is the technique which detects disease from the input images. The plant disease detection consists of three steps: initially the image that is fed to input terminal is preprocessed, thereafter features of the image is analyzed according to their features segmentation is applied and in the last step image is classified using any of the classifier. In this paper, various techniques of plant disease detection are reviewed and discussed in terms of various parameters.
Databáze: OpenAIRE