Multispectral Image Analysis for Crop Health Monitoring System-Reference-Cited by-同舟云学术

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Multispectral Image Analysis for Crop Health Monitoring System

Published:2022-08-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)
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Author:

Abdul Rahman Amelia Sarah Binti¹,Izhar Lila Iznita²,Sebastian Patrick²,Rohmah Ratnasari Nur³

Affiliation:

1. Universiti Teknologi PETRONAS, Bandar Seri Iskandar,Bachelor of Computer Engineering,Perak,Malaysia

2. Universiti Teknologi PETRONAS, Bandar Seri Iskandar,Electrical and Electronics Engineering Dept.,Perak,Malaysia

3. Universitas Muhammadiyah Surakarta,Fakultas Teknik,Jawa Tengah,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9915655/9915656/09915668.pdf?arnumber=9915668

Reference20 articles.

1. Deep Learning for Tomato Diseases: Classification and Symptoms Visualization

2. A Comparative Assessment of Different Modeling Algorithms for Estimating Leaf Nitrogen Content in Winter Wheat Using Multispectral Images from an Unmanned Aerial Vehicle

3. Scikit-learn

4. Comparison of two aerial imaging platforms for identification of Huanglongbing-infected citrus trees

5. Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications

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1. An innovative robotic platform for integrated precise orchard management;Acta Horticulturae;2024-05

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