Enhancing Accuracy in Crop Yield Estimation Through the Integration of Naive Bayes and Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Enhancing Accuracy in Crop Yield Estimation Through the Integration of Naive Bayes and Convolutional Neural Networks

Published:2023-12-14 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS)
language:
Short-container-title:

Author:

Reddy P Samanth¹,R Surendran²,M Venkatraman²

Affiliation:

1. Saveetha Institute of Medical and Technical Science,Department of Electronics Communication Engineering, Saveetha School of Engineering,Chennai,India,602105

2. Saveetha Institute of Medical and Technical Science,Department of Computer Science and Engineering, Saveetha School of Engineering,Chennai,India,602105

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10447018/10448515/10449096.pdf?arnumber=10449096

Reference27 articles.

1. Yield loss prediction models based on early estimation of weed pressure

2. Date Palm Crop Yield Estimation – A Framework

3. Intelligent Multi-Agent Reinforcement Learning Based Disease Prediction and Treatment Recommendation Model

4. Ensemble Learning-Based Hybrid Segmentation of Mammographic Images for Breast Cancer Risk Prediction Using Fuzzy C-Means and CNN Model

5. A New Approach Using the SYBR Green-Based Real-Time PCR Method for Detection of Soft Rot Pectobacterium odoriferum Associated with Kimchi Cabbage

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