AI-Driven Horticulture: Interactive Hyperspectral Data Visualization-Reference-Cited by-同舟云学术

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AI-Driven Horticulture: Interactive Hyperspectral Data Visualization

Published:2024-04-05 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 IEEE 9th International Conference for Convergence in Technology (I2CT)
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Author:

Upreti Shitiz¹,Singh Jagendra²,Singh Navneet Pratap²,Patil Sambhajiraje³,Tiwari Mohit⁴,Elangovan Muniyandy⁵

Affiliation:

1. Maharishi Markandeshwar (Deemed to be University),Ambala,India

2. Bennett University,School of Computer Science Engineering & Technology,Greater Noida,India

3. Dr. D. Y. Patil Vidyapeeth,Centre for Online Learning,Pune,India

4. Bharati Vidyapeeth’s College of Engineering,Computer Science and Engineering,Delhi,India

5. Saveetha Institute of Medical and Technical Sciences,Saveetha School of Engineering,Department of Biosciences,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10543249/10543223/10543764.pdf?arnumber=10543764

Reference15 articles.

1. Data quality assessment and analysis for pest identification in smart agriculture

2. Exploring the characteristics of smart agricultural development in Japan: Analysis using a smart agricultural kaizen level technology map

3. An Integrated Approach for Analysis of Electronic Health Records Using Blockchain and Deep Learning

4. A Concise Review Of MRI Feature Extraction And Classification With Kernel Functions

5. World-Wide Semantic Web of Agriculture Knowledge

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