Rice disease identification using pattern recognition techniques

By S. Phadikar, J. Sil. International Conference on Computer and Information Technology, 2008

361 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Plant Science

View Paper: https://www.semanticscholar.org/paper/de86b3f3a56bf26887a3c92f92cd97c742314b39

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. Anh Van Dinh
2. Khan A. Wahid
3. J. G. Arnal Barbedo
4. Shreelekha Pandey
5. Monzurul Islam
6. Pankaj Bhowmik
7. Sukhvir Kaur
8. Shivani Goel

In Plant Science

1. Shreelekha Pandey
2. Sukhvir Kaur
3. Shivani Goel
4. Anh Van Dinh
5. Khan A. Wahid
6. J. G. Arnal Barbedo
7. Monzurul Islam
8. Pankaj Bhowmik

Citations in the corpus

• Detection of potato diseases using image segmentation and multiclass support vector machine (2017, methodology): “The method proposed by Phadikar and Sil in [5] detects and differentiates two diseases affecting rice crops, converting the image to the HSI color space, an entropy-based thresholding is used for segmentation.”
• Plants Disease Identification and Classification Through Leaf Images: A Survey (2018, methodology): “[65] 2008 Blast and Brown spots N/A N/A SOM-NN 92”
• Digital image processing techniques for detecting, quantifying and classifying plant diseases (2013, methodology): “The method proposed by Phadikar and Sil (2008) detects and differentiates two diseases that affect rice crops, blast and brown spots.”