Contact and support
Need help, have a question, or want to contact the ResearchHub team?
© 2026 ResearchHub. Built for responsible scholarly connection.
Research graph
References from Machine learning for asymptomatic Ratoon stunting disease detection with freely available satellite based multispectral imaging. Local targets link to admitted publications; unresolved targets remain external evidence.
Ratoon stunting disease of sugarcane: A review emphasizing detection strategies and challenges
10.1094/phyto-05-23-0181-rvw · 2024 · External reference
Unresolved reference
1984 · External reference
Effect of ratoon stunting disease on the yield and components of yield of sugarcane under rainfed conditions
1986 · External reference
Unresolved reference
2000 · External reference
Unresolved reference
2000 · External reference
Incidence and economic effects of ratoon stunting disease on the queensland sugarcane industry : ASSCT peer-reviewed paper
2021 · External reference
Unresolved reference
2021 · External reference
Development of a qPCR for leifsonia xyli subsp. xyli and quantification of the effects of heat treatment of sugarcane cuttings on Lxx
10.1016/j.cropro.2015.10.029 · 2016 · External reference
Sensitive and specific detection of clavibacter xyli subsp. xyli, causal agent of ratoon stunting disease of sugarcane, with a polymerase chain reaction-based assay
10.1046/j.1365-3059.1998.00255.x · 1998 · External reference
A rapid and visual loop-mediated isothermal amplification assay to detect leifsonia xyli subsp. xyli targeting a transposase gene
10.1111/lam.12327 · 2014 · External reference
Efficient diagnosis of ratoon stunting disease of sugarcane by quantitative PCR on pooled leaf sheath biopsies
10.1094/pdis-06-16-0848-re · 2016 · External reference
Early detection of sugarcane smut disease in hyperspectral images
2021 · External reference
Recent advances of hyperspectral imaging technology and applications in agriculture
10.3390/rs12162659 · 2020 · External reference
Early detection of sugarcane smut and mosaic diseases via hyperspectral imaging and spectral-spatial attention deep neural networks
2024 · External reference
Detecting sugarcane yellow leaf virus infection in asymptomatic leaves with hyperspectral remote sensing and associated leaf pigment changes
10.1016/j.jviromet.2010.03.024 · 2010 · External reference
New approach for sugarcane disease recognition through visible and near-infrared spectroscopy and a modified wavelength selection method using machine learning models
10.1016/j.saa.2023.123037 · 2023 · External reference
Characterization of diatraea saccharalis in sugarcane (saccharum officinarum) with field spectroradiometry
2016 · External reference
Potential of spectroscopic data sets for sugarcane thrips (Fulmekiola serrata Kobus) damage detection
10.1080/01431160903241981 · 2010 · External reference
Spectral signature of brown rust and orange rust in sugarcane
2020 · External reference
Mapping mosaic virus in sugarcane based on hyperspectral images
10.1109/jstars.2016.2635482 · 2017 · External reference
Detecting sugarcane ‘orange rust’ disease using EO-1 hyperion hyperspectral imagery
10.1080/01431160310001618031 · 2004 · External reference
Detection of white leaf disease in sugarcane using machine learning techniques over UAV multispectral images
10.3390/drones6090230 · 2022 · External reference
UAV-based multispectral data for sugarcane resistance phenotyping of orange and brown RUST
2023 · External reference
Unresolved reference
External reference
Using GeoEye-1 imagery for multi-temporal object-based detection of canegrub damage in sugarcane fields in queensland, Australia
10.1080/15481603.2017.1417691 · 2018 · External reference
Formulation and assessment of narrow-band vegetation indices from EO1 hyperion imagery for discriminating sugarcane disease
2003 · External reference
Sugarcane health monitoring with satellite spectroscopy and machine learning: A review
10.1016/j.compag.2024.109686 · 2025 · External reference
Significant remote sensing vegetation indices: A review of developments and applications
10.1155/2017/1353691 · 2017 · External reference
Leaf area index models
2014 · External reference
Unresolved reference
2022 · External reference
NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space
10.1016/s0034-4257(96)00067-3 · 1996 · External reference
Non-destructive optical detection of pigment changes during leaf senescence and fruit ripening
10.1034/j.1399-3054.1999.106119.x · 1999 · External reference
Unresolved reference
1973 · External reference
Derivation of a shortwave infrared water stress index from MODIS near- and shortwave infrared data in a semiarid environment
10.1016/j.rse.2003.07.002 · 2003 · External reference
Comprehensive evaluation of sentinel-2 red edge and shortwave-infrared bands to estimate soil moisture
10.1109/jstars.2021.3098513 · 2021 · External reference
A snow-free vegetation index for improved monitoring of vegetation spring green-up date in deciduous ecosystems
10.1016/j.rse.2017.04.031 · 2017 · External reference
Remote sensing for precision agriculture: Sentinel-2 improved features and applications
10.3390/agronomy10050641 · 2020 · External reference
Deep learning classification of land cover and crop types using remote sensing data
10.1109/lgrs.2017.2681128 · 2017 · External reference
Assessments of sentinel-2 vegetation red-edge spectral bands for improving land cover classification
10.5194/isprs-archives-xlii-2-w7-871-2017 · 2017 · External reference
Atmospherically resistant vegetation index (ARVI) for EOS-MODIS
10.1109/36.134076 · 1992 · External reference
Vegetation indices as indicators of damage by the sunn pest (Hemiptera: Scutelleridae) to field grown wheat
2008 · External reference
Derivation of leaf-area index from quality of light on the forest floor
10.2307/1936256 · 1969 · External reference
The use of the normalized difference water index (NDWI) in the delineation of open water features
10.1080/01431169608948714 · 1996 · External reference
Red and photographic infrared linear combinations for monitoring vegetation
10.1016/0034-4257(79)90013-0 · 1979 · External reference
Novel algorithms for remote estimation of vegetation fraction
10.1016/s0034-4257(01)00289-9 · 2002 · External reference
Remote sensing of chlorophyll a, chlorophyll b, chlorophyll a+b, and total carotenoid content in eucalyptus leaves
10.1016/s0034-4257(98)00046-7 · 1998 · External reference
Non-stochastic best arm identification and hyperparameter optimization
2016 · External reference
Unresolved reference
2024 · External reference
Unresolved reference
2010 · External reference
Probabilistic machine learning: An introduction
2022 · External reference
Unresolved reference
2024 · External reference