NeuraMold: Harnessing Convolutional Neural Networks for Anthracnose Detection Precision-Reference-Cited by-同舟云学术

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NeuraMold: Harnessing Convolutional Neural Networks for Anthracnose Detection Precision

Published:2024-03-15 Issue: Volume:65 Page:1-7
ISSN:
Container-title:2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA)
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Author:

Madaan Vijay¹,Sharma Neha¹,Chauhan Rahul²,Joshi Kireet³,Anand Abhineet⁴,Kumar Bura Vijay⁵

Affiliation:

1. Chitkara University Institute of Engineering & Technology, Chitkara University,Rajpura,Punjab,India

2. Computer Science & Engineering Graphic Era Hill University,Dehradun,Uttarakhand,India,248002

3. Computer Science & Engineering Graphic Era Deemed to be University,Dehradun,Uttarakhand,India,248002

4. Chandigarh University,Mohali,Punjab,India

5. SR University,School of Computer Science and Artificial Intelligence,Warangal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10531297/10531303/10531557.pdf?arnumber=10531557

Reference11 articles.

1. A Convolutional Neural Networks Based Method for Anthracnose Infected Walnut Tree Leaves Identification

2. Intelligent Detection of Mango Disease Spores Based on Mask Scoring R-CNN

3. Transfer Learning based Convolutional Neural Network Model for Classification of Mango Leaves Infected by Anthracnose

4. Multilayer Convolution Neural Network for the Classification of Mango Leaves Infected by Anthracnose Disease

5. Application of deep convolutional neural networks for the detection of anthracnose in olives using VIS/NIR hyperspectral images

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