Diagnosis and Identification of Citrus Canker Growth Rate Using Machine Learning-Reference-Cited by-同舟云学术

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Diagnosis and Identification of Citrus Canker Growth Rate Using Machine Learning

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 4th International Conference on Pattern Recognition and Machine Learning (PRML)
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Author:

Zainab Naureen¹,Afzal Hammad¹,Arif Fahim¹,Ghafoor Abdul¹,Iltaf Naima¹,Zakria Muhammad²,Hyder Muhammad Javed³,Ahsan Rafia²

Affiliation:

1. National University of Sciences and Technology,Department of Computer Software Engineering,Islamabad,Pakistan,44000

2. Crop Diseases Research Institute (CDRI),National Agricultural Research Centre (NARC), Park Road,Islamabad,Pakistan,44000

3. Capital University of Science and Technology (CUST),Department of Mechanical Engineering,Islamabad,Pakistan,44000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10347562/10348177/10348188.pdf?arnumber=10348188

Reference12 articles.

1. Protection and controlled release of vitamin C by different micro/nanocarriers

2. The Spatial and Temporal Variability of the Effects of Agricultural Practices on the Environment

3. Deep learning for apple diseases: classification and identification

4. Seasonal Crops Disease Prediction and Classification Using Deep Convolutional Encoder Network

5. Application of Medical Image 3D Visualization Web Platform in Auxiliary Diagnosis and Preoperative Planning

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