Plant Leaf Disease Detection Using Machine Learning

2020 ◽  
pp. 267-276
Author(s):  
Jay Trivedi ◽  
Yash Shamnani ◽  
Ruchi Gajjar
Keyword(s):  
Machine Learning ◽  
Disease Detection ◽  
Plant Leaf ◽  
Leaf Disease

Performance of deep learning vs machine learning in plant leaf disease detection

2021 ◽  
Vol 80 ◽  
pp. 103615
Author(s):  
R. Sujatha ◽  
Jyotir Moy Chatterjee ◽  
NZ Jhanjhi ◽  
Sarfraz Nawaz Brohi
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Disease Detection ◽  
Plant Leaf ◽  
Leaf Disease

House Plant Leaf Disease Detection and Classification Using Machine Learning

2022 ◽  
pp. 17-26
Author(s):  
Bhimavarapu Usharani
Keyword(s):  
Machine Learning ◽  
Blood Pressure ◽  
Bacterial Infections ◽  
Clustering Algorithm ◽  
Disease Detection ◽  
Diseased Leaf ◽  
Lower Body ◽  
Linear Classification ◽  
Plant Leaf ◽  
Leaf Disease

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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