Cotton Plants Diseases Detection Using CNN

Main Article Content

Nilesh N. Thorat, Mayuresh Gulame, Aarti P. Pimplkar, Nilesh P. Sable, Pramod B. Dhamdhere, Nilesh Kulal

Abstract

Identifying cotton infections is a major problem that often requires expert assistance in determining and treating the disease. This investigation aims to create a sophisticated learning model that can tell a plant's illness apart from images of its leaves. Convolution Brain Organization is used to do move training to complete deep learning. For the dataset used, this method produced outcomes for a given state of quality. The main goal is to offer this approach to as many individuals as is realistically expected while reducing the cost of professional aid in identifying cotton plant diseases. The ability to recognize and understand items from photographs has been made possible by rapid advancements in deep learning (DL) techniques.

Article Details

How to Cite
Nilesh N. Thorat, et al. (2023). Cotton Plants Diseases Detection Using CNN. International Journal on Recent and Innovation Trends in Computing and Communication, 11(10), 294–299. https://doi.org/10.17762/ijritcc.v11i10.8492
Section
Articles
Author Biography

Nilesh N. Thorat, Mayuresh Gulame, Aarti P. Pimplkar, Nilesh P. Sable, Pramod B. Dhamdhere, Nilesh Kulal

1 Nilesh N. Thorat, 2Mayuresh Gulame, 3Aarti P.Pimplkar, 4Nilesh P.Sable, 5Pramod B. Dhamdhere, 6Nilesh Kulal

1 Assistant Professor, CSE, MIT ADT School of Computing, MIT ADT University, Pune, India, nileshthorat4694@gmail.com .

2 Assistant Professor, CSE, MIT ADT School of Computing, MIT ADT University, Pune, India.

3 Assistant Professor, CSE, MIT ADT School of Computing, MIT ADT University, Pune, India.

4 Associate Professor, Department of Computer Science & Engineering (Artificial Intelligence), Bansilal Ramnath Agarwal Charitable Trust's, Vishwakarma Institute of Information Technology, SPPU, Pune, India, drsablenilesh@gmail.com .

5 Assistant Professor, AI&ML, G. H. Raisoni college of engineering & Management, Wagholi Pune India.

6 Assistant Professor, MIT ADT School of Computing, MIT ADT University, Pune, India.

∗ Corresponding author’s Email: nileshthorat4694@gmail.com.

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