Plant Leaf Disease Detection and Classification using Deep Learning Techniques

Deshmukh Sanket Jitendra; Aher Vishal dilip; Jadhav Kunal Attarsing; Deshmukh Kajal Arun; Tambe S.N.

doi:10.36948/ijfmr.2023.v05i03.3347

Plant Leaf Disease Detection and Classification using Deep Learning Techniques

Author(s)	Deshmukh Sanket Jitendra, Aher Vishal dilip, Jadhav Kunal Attarsing, Deshmukh Kajal Arun, Tambe S.N.
Country	India
Abstract	A significant danger to crop production and global food security is plant disease. For efficient disease management, early diagnosis and precise categorization of plant leaf diseases are essential. Deep learning methods have recently demonstrated promising outcomes in several of computer vision applications, including picture categorization. This study investigates the use of deep learning algorithms for identifying and categorizing plant leaf diseases. We give a summary of the most relevant assessment metrics, datasets, and approaches utilized in this field. In addition, we suggest a novel deep-learning architecture for detecting and classifying plant leaf diseases and assessing their performance on benchmark datasets. The outcomes show the value and promise of deep learning approaches in tackling the difficulties associated with the identification and categorization of plant leaf diseases.
Keywords	Plant detection, deep learning,CNN .
Field	Engineering
Published In	Volume 5, Issue 3, May-June 2023
Published On	2023-05-30
Cite This	Plant Leaf Disease Detection and Classification using Deep Learning Techniques - Deshmukh Sanket Jitendra, Aher Vishal dilip, Jadhav Kunal Attarsing, Deshmukh Kajal Arun, Tambe S.N. - IJFMR Volume 5, Issue 3, May-June 2023. DOI 10.36948/ijfmr.2023.v05i03.3347
DOI	https://doi.org/10.36948/ijfmr.2023.v05i03.3347
Short DOI	https://doi.org/gr97sz

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Plant Leaf Disease Detection and Classification using Deep Learning Techniques

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