Classification of Nutritional Deficiencies in Cabbage Leave Using Random Forest-Reference-Cited by-同舟云学术

Classification of Nutritional Deficiencies in Cabbage Leave Using Random Forest

Published:2022-12-16 Issue: Volume: Page:
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Container-title:2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)
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Author:

Chauhan Nupa Ram¹,Shukla Ratnesh Kumar²,Sengar Alok Singh¹,Gupta Anurag¹

Affiliation:

1. College of Computing Science & Information Technology,Computer Science & Engineering,Moradabad,UP,India

2. Shambhunath Institute of Engineering & Technology,Computer Science & Engineering,Prayagraj,UP,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10046659/10046667/10047282.pdf?arnumber=10047282

Reference22 articles.

1. Grading of Soybean Leaf Disease Based on Segmented Image Using K-means Clustering;jadhav;Artificial Intelligence,2016

2. Grape leaf disease detection from color imagery using hybrid intelligent system;meunkaewjinda;5th International Conference on Electrical Engineering/ Electronics,2018

3. Plant diseases and pests detection based on deep learning: a review

4. Plants Disease Identification and Classification Through Leaf Images: A Survey

5. Classification And Detection Of Nutritional Deficiencies In Coffee Plants Using Image Processing And Convolutional Neural Network (CNN);lewis;International Journal of Scientific & Technology Research,2020

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