A Review of Machine Learning Approaches in Plant Leaf Disease Detection and Classification

Author(s):  
Majji V Applalanaidu ◽  
G. Kumaravelan
2021 ◽  
Vol 80 ◽  
pp. 103615
Author(s):  
R. Sujatha ◽  
Jyotir Moy Chatterjee ◽  
NZ Jhanjhi ◽  
Sarfraz Nawaz Brohi

2022 ◽  
pp. 17-26
Author(s):  
Bhimavarapu Usharani

Hibiscus is a fantastic herb, and in Ayurveda, it is one of the most renowned herbs that have extraordinary healing properties. Hibiscus is rich in vitamin C, flavonoids, amino acids, mucilage fiber, moisture content, and antioxidants. Hibiscus can help with weight loss, cancer treatment, bacterial infections, fever, high blood pressure, lower body temperature, treat heart and nerve diseases. Automatic leaf disease detection is an essential task. Image processing is one of the popular techniques for the plant leaf disease detection and categorization. In this chapter, the diseased leaf is identified by concurrent k-means clustering algorithm and then features are extracted. Finally, reweighted KNN linear classification algorithms have been used to detect the diseased leaves categories.


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