Taxonomy of leaf disease detection and classification

2Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Gaining foods from plant is the most difficult task when plant suffers from diseases like fungal, bacterial, and virus. Leaf is the most affected part of plant diseases. Although farmers are proficient to detect leaf disease, if crops are spread in dense area, then this task is more difficult. Image processing provides an easy technique to detect leaf disease using symptoms. In this paper, we present various method such as background removal, enhancing, segmentation, feature extraction, and classification. Some leaf disease detection, grading, and classification are also discussed.

Cite

CITATION STYLE

APA

Goswami, M., Maheshwari, S., Poonia, A., & Songara, D. (2018). Taxonomy of leaf disease detection and classification. In Advances in Intelligent Systems and Computing (Vol. 708, pp. 557–563). Springer Verlag. https://doi.org/10.1007/978-981-10-8636-6_59

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free