Combining Weather Classification and Mask RCNN for Accurate Wheat Rust Disease Prediction-Reference-Cited by-同舟云学术

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Combining Weather Classification and Mask RCNN for Accurate Wheat Rust Disease Prediction

Published:2023-07-14 Issue: Volume: Page:
ISSN:
Container-title:2023 World Conference on Communication & Computing (WCONF)
language:
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Author:

Kumar Deepak¹,Kukreja Vinay¹,Goyal Bhawna²,Hariharan Shanmugasundram³,Verma Aditya⁴

Affiliation:

1. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

2. Chandigarh University,Department of ECE and UCRD,Mohali,Punjab,India

3. Vardhaman College of Engineering,Department of Computer Science and Engineering,Hyderabad,India

4. Graphic Era Hill University,Computer Science and Engineering,Dehradun,Uttrarakhand,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10234727/10234833/10235150.pdf?arnumber=10235150

Reference14 articles.

1. Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques

2. Wheat yellow rust disease infection type classification using texture features;shafi;SENSORS,2022

3. A novel GNSS single-frequency PPP approach to estimate the ionospheric TEC and satellite pseudorange observable-specific signal bias

4. Predictive analysis of heart diseases with machine learning approaches;ramesh;Malaysian Journal of Computer Science,2022

5. Ir-UNet: Irregular Segmentation U-Shape Network for Wheat Yellow Rust Detection by UAV Multispectral Imagery

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