Detection of Botrytis Cinerea in Grapes using Machine Learning Technique-Reference-Cited by-同舟云学术

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Detection of Botrytis Cinerea in Grapes using Machine Learning Technique

Published:2023-10-20 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT)
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Author:

Nijhawan Rahul¹,Singh Rahul Kumar²,Singh Bisht Rajendra³,Mendirtta Neha⁴,Dhir Pritish⁵,Singh Vaishnavi⁵

Affiliation:

1. Thapar Institute of Engg. & Tech,Computer Science and Engineering,Patiala,India

2. Sandip University,Computer Science and Engineering,Nashik,Maharashtra,India

3. Graphic Era Hill University,Computer Science and Engineering,Bhimtal,India

4. Chandigarh University,Punjab,India

5. University of Petrolium & Energy Stud,School of Computer Science,Dehradun,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391855/10391862/10393855.pdf?arnumber=10393855

Reference20 articles.

1. Mobile Image Ratiometry for the Detection of Botrytis cinerea (Gray Mold)

2. Using deep transfer learning for image-based plant disease identification

3. A Deep Learning based CNN framework approach for Plankton Classification

4. Proposed hybrid-classifier ensemble algorithm to map snow cover area

5. Analysis of Brain Tumor using Pre-trained CNN Models and Machine Learning Techniques

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