Detection of potato diseases using image segmentation and multiclass support vector machine

By Monzurul Islam, Anh Van Dinh, Khan A. Wahid, Pankaj Bhowmik. Canadian Conference on Electrical and Computer Engineering, 2017

425 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Plant Science

View Paper: https://www.semanticscholar.org/paper/52e8e807c25738f2e529019451fdef402ee2a25c

How researchers see this paper

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

In Plant Science

1. Yuehan Chen
2. Chunquan Liang
3. Peng Jiang
4. Dongjian He
5. Bin Liu
6. Wubetu Barud Demilie

Citations in the corpus

• Real-Time Detection of Apple Leaf Diseases Using Deep Learning Approach Based on Improved Convolutional Neural Networks (2019, background): “In recent years, with the popularization of digital cameras and other electronic devices, automatic plant disease diagnosis via machine learning has been widely applied as a satisfactory alternative [4]–[11].”
• Identification of Plant-Leaf Diseases Using CNN and Transfer-Learning Approach (2021, background): “The idea behind SVM is to find a hyperplane between data classes that divides each class [13,14].”