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References from Early Detection of Tomato Bacterial Spot in Controlled Environment Using Machine Learning Processed Spectral Information. Local targets link to admitted publications; unresolved targets remain external evidence.
Detection of target spot and bacterial spot diseases in tomato using UAV-based and benchtop-based hyperspectral imaging techniques
2020 · External reference
A remote sensing technique for detecting laurel wilt disease in avocado in presence of other biotic and abiotic stresses
2019 · External reference
Advances and challenges in bacterial spot resistance breeding in tomato (Solanum lycopersicum L.)
2020 · External reference
Spoken language identification based on optimised genetic algorithm–extreme learning machine approach
2019 · External reference
Genetic algorithm based on natural selection theory for optimization problems
2020 · External reference
A machine learning approach to circumventing the curse of dimensionality in discontinuous time series machine data
2020 · External reference
Hyperspectral and thermal imaging of oilseed rape (Brassica napus) response to fungal species of the genus Alternaria
2015 · External reference
Forest-scale phenotyping: Productivity characterisation through machine learning
2020 · External reference
Early detection of bacterial wilt in tomato with portable hyperspectral spectrometer
2022 · External reference
Ratio analysis of reflectance spectra (RARS): An algorithm for the remote estimation of the concentrations of chlorophyll a, chlorophyll b, and carotenoids in soybean leaves
1992 · External reference
Estimation of dynamic canopy variables using hyperspectral derived vegetation indices under varying N rates at diverse phenological stages of rice
2019 · External reference
Canopy vegetation indices from in situ hyperspectral data to assess plant water status of winter wheat under powdery mildew stress
2017 · External reference
A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency
1992 · External reference
Signature analysis of leaf reflectance spectra: Algorithm development for remote sensing of chlorophyll
1996 · External reference
Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves
2003 · External reference
A review of neural networks in plant disease detection using hyperspectral data
2018 · External reference
Robust and efficient rule extraction through data summarization and its application in welding fault diagnosis
2008 · External reference
Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
2004 · External reference
Spectral response of architecturally different wheat canopies
1986 · External reference
Reference measurements in developing UAV systems for detecting pests, weeds, and diseases
2021 · External reference
Detection of forests using mid-IR reflectance: An application for aerosol studies
1994 · External reference
Denoising of hyperspectral images using the PARAFAC model and statistical performance analysis
2012 · External reference
Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress
2017 · External reference
Using hyperspectral imaging to discriminate yellow leaf curl disease in tomato leaves
2018 · External reference
Fault detection based on statistical multivariate analysis and microarray visualization
2009 · External reference
First report of Xanthomonas gardneri causing bacterial spot of tomato in Ohio and Michigan
2011 · External reference
Comparison and combination of thermal, fluorescence, and hyperspectral imaging for monitoring fusarium head blight of wheat on spikelet scale
2019 · External reference
Monitoring community hysteresis using spectral shift analysis and the red-edge vegetation stress index
1998 · External reference
A review of the most common and economically important diseases that undermine the cultivation of tomato crop in the Mediterranean basin
2021 · External reference
A review and analysis of backpropagation neural networks for classification of remotely-sensed multi-spectral imagery
1995 · External reference
Semi-empirical indices to assess carotenoids/chlorophyll a ratio from leaf spectral reflectance
1995 · External reference
The reflectance at the 950–970 nm region as an indicator of plant water status
1993 · External reference
Estimation of plant water concentration by the reflectance water index WI (R900/R970)
1997 · External reference
Sudden shift in the prevalent race of Xanthomonas campestris pv
1992 · External reference
In-season prediction of potential grain yield in winter wheat using canopy reflectance
2001 · External reference
Deep learning and process understanding for data-driven Earth system science
2019 · External reference
Estimating PAR absorbed by vegetation from bidirectional reflectance measurements
1995 · External reference
The detection of Alternaria solani infection on tomatoes using ensemble learning
2020 · External reference
A review of advanced techniques for detecting plant diseases
2010 · External reference
Variability associated with suppression of gray mold (Botrytis cinerea) on geranium by foliar applications of nonaerated and aerated compost teas
2006 · External reference
Robotic disease detection in greenhouses: Combined detection of powdery mildew and tomato spotted wilt virus
2016 · External reference
Progress in developing bacterial spot resistance in tomato
2019 · External reference
Durability of resistance in tomato and pepper to xanthomonads causing bacterial spot
2009 · External reference
Cultural practices in disease control
1960 · External reference
Improving the retrieval of crop canopy chlorophyll content using vegetation index combinations
2021 · External reference
Plant–pathogen warfare under changing climate conditions
2018 · External reference
Comparison of narrow-band and broad-band vegetation indices for canopy chlorophyll density estimation in sugar beet, p
2007 · External reference
Hyperspectral imaging for classification of healthy and gray mold diseased tomato leaves with different infection severities
2017 · External reference
Multivariate statistical monitoring of two-dimensional dynamic batch processes utilizing non-Gaussian information
2010 · External reference
A review on basic data-driven approaches for industrial process monitoring
2014 · External reference
A review of advanced technologies and development for hyperspectral-based plant disease detection in the past three decades
2020 · External reference
