Recognition of sugarcane orange and brown rust through leaf image processing

Author:

Ordine Pires da Silva Simões IsabelaORCID,de Freitas Rodrigo Greggio,Cursi Danilo Eduardo,Chapola Roberto Giacomini,Amaral Lucas Rios do

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Reference22 articles.

1. Comparison of progress of brown rust and orange rust and conditions conducive for severe epidemic development during the sugarcane crop season in Florida;Sanjel;Plant Dis.,2019

2. Sugarcane improvement: How far can we go?;Dal-Bianco;Curr. Opin. Biotechnol.,2012

3. Visual Rating and the Use of Image Analysis for Assessing Different Symptoms of Citrus Canker on Grapefruit Leaves;Bock;Plant Dis.,2008

4. Ferrugem alaranjada da cana-de-açúcar no Brasil;Ferrari;Biológico,2013

5. Efficient Detection of Sugarcane Diseases through Intelligent Approaches : A Review;Manavalan;Asian J. Res. Rev. Agricult.,2021

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Progresses in Sugarcane Leaf Defect Identification : A Review;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-09-05

2. Molecular evaluation and phenotypic screening of brown and orange rust in Saccharum germplasm;PLOS ONE;2024-07-30

3. Real-Time UAV System Integration for Fire Detection and Classification;2023 IEEE International Conference on Computing (ICOCO);2023-10-09

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