The use of infrared spectroscopy and machine learning tools for detection of Meloidogyne infestations-Reference-Cited by-同舟云学术

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The use of infrared spectroscopy and machine learning tools for detection of Meloidogyne infestations

Published:2020-08-10 Issue:8 Volume:69 Page:1589-1600
ISSN:0032-0862
Container-title:Plant Pathology
language:en
Short-container-title:Plant Pathol

Author:

San‐Blas Ernesto¹^ORCID,Paba Gabriel²,Cubillán Néstor³^ORCID,Portillo Edgar²,Casassa‐Padrón Ana M.⁴,González‐González César⁵,Guerra Mayamarú⁶^ORCID

Affiliation:

1. Independant researcher Santiago Chile

2. Centre for Botanical and Agroforestry Studies Venezuelan Institute for Scientific Research Caracas Venezuela

3. Universidad del Atlántico Barranquilla Colombia

4. Universidad del Zulia Maracaibo Venezuela

5. CORPOZULIA Maracaibo Venezuela

6. Universidad Tecnológica de Bolívar Cartagena Colombia

Publisher

Wiley

Subject

Horticulture,Plant Science,Genetics,Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ppa.13246

Reference48 articles.

1. Occurrence and correlations of nematodes, Fusarium oxysporum and edaphic factors on banana plantations

2. Using Fourier transform IR spectroscopy to analyze biological materials

3. Contributions of Fourier-transform mid infrared (FT-MIR) spectroscopy to the study of fruit and vegetables: A review

4. Application of vibrational spectroscopy techniques to non-destructively monitor plant health and development

5. Pratylenchus (Nematoda: Pratylenchidae): Diagnosis, Biology, Pathogenicity and Management

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3. A Low-Cost Proximate Sensing Method for Early Detection of Nematodes in Walnut Using Machine Learning Algorithms;Agriculture Automation and Control;2023-12-29

4. Classification models for Tobacco Mosaic Virus and Potato Virus Y using hyperspectral and machine learning techniques;Frontiers in Plant Science;2023-10-16

5. Current advances in the identification of plant nematode diseases: From lab assays to in-field diagnostics;Frontiers in Plant Science;2023-01-24

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