ArticleApplications in plant sciences2020
Early detection of black Sigatoka in banana leaves using hyperspectral images.
Article in Applications in plant sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- The Curse of Black Sigatoka: A Backward Bifurcation Perspective.Bulletin of mathematical biology · 2026Article
- Hyperspectral Imaging and Machine Learning for Diagnosing Rice Bacterial Blight Symptoms Caused byPlants (Basel, Switzerland) · 2025Article
- Early diagnosis of Cladosporium fulvum in greenhouse tomato plants based on visible/near-infrared (VIS/NIR) and near-infrared (NIR) data fusion.Scientific reports · 2024Article
- Effective Methods Based on Distinct Learning Principles for the Analysis of Hyperspectral Images to Detect Black Sigatoka Disease.Plants (Basel, Switzerland) · 2022Article
- Current State of Hyperspectral Remote Sensing for Early Plant Disease Detection: A Review.Sensors (Basel, Switzerland) · 2022Review
- Study on the Classification Method of Rice Leaf Blast Levels Based on Fusion Features and Adaptive-Weight Immune Particle Swarm Optimization Extreme Learning Machine Algorithm.Frontiers in plant science · 2022Article
- Early detection of black Sigatoka in banana leaves using hyperspectral images.Applications in plant sciences · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
premiseBlack Sigatoka is one of the most severe banana (
methodsYoung (three-month-old) banana plants were inoculated with a conidia suspension of the black Sigatoka fungus (
resultsThe PLS-PLR model was able to predict the presence of the disease with a 98% accuracy. The wavelengths with the highest contribution to the classification ranged from 577 to 651 nm and from 700 to 1019 nm. DISCUSSION: PLS-PLR and HS biplot effectively estimated the presence of black Sigatoka disease at the early stages and can be used to graphically represent the relationship between groups of leaves and both visible and near-infrared wavelengths.
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Registered trials
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