Plant Disease Detection Using Image Processing

By Sachin D. Khirade, A. Patil. International Conference on Computing Communication Control and automation, 2015

682 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Plant Science

View Paper: https://www.semanticscholar.org/paper/575467ca9dc8d7f687fe2f490f6b18932b5c45bd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Wubetu Barud Demilie

In Plant Science

1. Wubetu Barud Demilie

Citations in the corpus

• Plant disease detection and classification techniques: a comparative study of the performances (2024, background): “Farmers lack a full understanding of leaf plant diseases and must be guided on how to apply computerized image processing methods [107].”
• Tomato Leaf Disease Detection Using Convolutional Neural Networks (2018, background): “In order to overcome the problem of the above paper, the authors in [3] have proposed various segmentation, feature extraction and classification techniques that identify and detect the type of the disease using the diseased image to conduct classification.”