Exploration of machine learning approaches for automated crop disease detection-Reference-Cited by-同舟云学术

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Exploration of machine learning approaches for automated crop disease detection

Published:2024-12 Issue: Volume:40 Page:100382
ISSN:2214-6628
Container-title:Current Plant Biology
language:en
Short-container-title:Current Plant Biology

Author:

Singla Annu,Nehra Ashima,Joshi Kamaldeep,Kumar Ajit,Tuteja Narendra,Varshney Rajeev K.,Gill Sarvajeet Singh,Gill Ritu^ORCID

Publisher

Elsevier BV

Reference58 articles.

1. A novel method to improve computational and classification performance of rice plant disease identification;Archana;J. Supercomput.,2022

2. Identification of diseases in paddy crops using CNN;Parasa;Int. J. Intell. Syst. Appl. Eng.,2023

3. Important wheat diseases in the US and their management in the 21st century;Singh;Front. Plant Sci.,2023

4. Grains–a major source of sustainable protein for health;Poutanen;Nutr. Rev.,2022

5. Machine learning in cereal crops disease detection: a review;Waldamichael;Algorithms,2022

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