IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

House Plant Leaf Disease Detection and Classification Using Machine Learning

House Plant Leaf Disease Detection and Classification Using Machine Learning
View Sample PDF
Author(s): Bhimavarapu Usharani (Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India)
Copyright: 2022
Pages: 10
Source title: Deep Learning Applications for Cyber-Physical Systems
Source Author(s)/Editor(s): Monica R. Mundada (M.S. Ramaiah Institute of Technology, India), S. Seema (M.S. Ramaiah Institute of Technology, India), Srinivasa K.G. (National Institute of Technical Teachers Training and Research, Chandigarh, India)and M. Shilpa (M.S. Ramaiah Institute of Technology, India)
DOI: 10.4018/978-1-7998-8161-2.ch002

Purchase

View House Plant Leaf Disease Detection and Classification Using Machine Learning on the publisher's website for pricing and purchasing information.

Abstract

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.

Related Content

Preethi, Sapna R., Mohammed Mujeer Ulla. © 2023. 16 pages.
Srividya P.. © 2023. 12 pages.
Preeti Sahu. © 2023. 15 pages.
Vandana Niranjan. © 2023. 23 pages.
S. Darwin, E. Fantin Irudaya Raj, M. Appadurai, M. Chithambara Thanu. © 2023. 33 pages.
Shankara Murthy H. M., Niranjana Rai, Ramakrishna N. Hegde. © 2023. 23 pages.
Jothimani K., Bhagya Jyothi K. L.. © 2023. 19 pages.
Body Bottom