Potato Crop Disease Prediction using Deep Learning-Reference-Cited by-同舟云学术

Potato Crop Disease Prediction using Deep Learning

Published:2023-04-08 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 12th International Conference on Communication Systems and Network Technologies (CSNT)
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Author:

Kasani Karthik¹,Yadla Sunanda¹,Rachamalla Sadhwika¹,Hariharan Shanmugasundaram¹,Devarajula Likhitha¹,Andraju Bhanu Prasad¹

Affiliation:

1. Vardhaman College of Engineering,Department of CSE,Hyderabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10134573/10134574/10134596.pdf?arnumber=10134596

Reference22 articles.

1. Use of Simulation Models to Develop a Low-Risk Strategy to Suppress Early and Late Blight in Potato Foliage

2. Novel CropdocNet Model for Automated Potato Late Blight Disease Detection from Unmanned Aerial Vehicle-Based Hyperspectral Imagery

3. Association of Potato Early Blight, Nitrogen Fertilizer Rate, and Potato Yield

4. Potato diseases detection and classification using deep learning methods;arshaghi;Multimedia Tools and Applications,2022

5. A study on predicting patterns over the protein sequence datasets using association rule mining;lakshmipriya;Journal of Engineering Science & Technology,2012

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5. Bridging the gap for sustainable crop cultivation using data science applications;2023 IEEE North Karnataka Subsection Flagship International Conference (NKCon);2023-11-19