Research graph
References from A continuous wavelet transform-enhanced transformer model for spectroscopic detection of bacterial wilt in tomato at early infection stages. Local targets link to admitted publications; unresolved targets remain external evidence.
A non-destructive and precise root monitoring system for hydroponic crops using SWIR hyperspectral imaging
10.1016/j.plantsci.2025.112544 · 2025 · External reference
Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition
1990 · External reference
Leaf optical properties in higher plants: linking spectral characteristics to stress and chlorophyll concentration
10.2307/2657068 · 2001 · External reference
Early detection of bacterial wilt in peanut plants through leaf-level hyperspectral and unmanned aerial vehicle data
10.1016/j.compag.2020.105708 · 2020 · External reference
Continuous wavelet analysis for the detection of green attack damage due to mountain pine beetle infestation
10.1016/j.rse.2009.12.005 · 2010 · External reference
The EPS-I exopolysaccharide transforms Ralstonia wilt pathogen biofilms into viscoelastic fluids for rapid dissemination in planta
10.1073/pnas.2512757123 · 2026 · External reference
Remote sensing of foliar chemistry
10.1016/0034-4257(89)90069-2 · 1989 · External reference
Explaining the unsuitability of the kappa coefficient in the assessment and comparison of the accuracy of thematic maps obtained by image classification
10.1016/j.rse.2019.111630 · 2020 · External reference
Detection of fusarium head blight in wheat ears using continuous wavelet analysis and pso-svm
10.3390/agriculture11100998 · 2021 · External reference
Estimating leaf biochemistry using the PROSPECT leaf optical properties model
10.1016/0034-4257(95)00238-3 · 1996 · External reference
Enhancing hyperspectral image classification through transformer-based contextualization and novel logarithmic convolutional techniques
10.1016/j.infrared.2025.105826 · 2025 · External reference
Self-supervised transformer-based pre-training method using latent semantic masking auto-encoder for pest and disease classification
10.1016/j.compag.2022.107448 · 2022 · External reference
Combining multiple spectral enhancement features for improving spectroscopic asymptomatic detection and symptomatic severity classification of southern corn leaf blight
10.1007/s11119-023-10010-2 · 2023 · External reference
Plant disease detection by imaging sensors - Parallels and specific demands for precision agriculture and plant phenotyping
10.1094/pdis-03-15-0340-fe · 2016 · External reference
Hyperspectral sensors and imaging technologies in phytopathology: State of the art
10.1146/annurev-phyto-080417-050100 · 2018 · External reference
Image-based assessment of plant disease progression identifies new genetic loci for resistance to Ralstonia solanacearum in tomato
10.1111/tpj.16101 · 2023 · External reference
Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems
10.1186/s13007-018-0349-9 · 2018 · External reference
Sugarcane disease recognition through visible and near-infrared spectroscopy using deep learning assisted continuous wavelet transform-based spectrogram
10.1016/j.saa.2024.125001 · 2025 · External reference
Stenotrophomonas maltophilia impedes Bacillus biocontrol of tomato wilt disease by degrading its lipopeptide antibiotics
10.1093/ismejo/wraf210 · 2025 · External reference
Research on spectral baseline reconstruction of broad-spectrum absorption characteristics for alkanes mixture gases based on laser absorption spectroscopy
10.1021/acs.analchem.5c06324 · 2026 · External reference
Precision pest management in agriculture using Inception V3 and EfficientNet B4: A deep learning approach for crop protection
10.1016/j.inpa.2025.09.005 · 2026 · External reference
Mechanistic links between physiology and spectral reflectance enable previsual detection of oak wilt and drought stress
10.1073/pnas.2316164121 · 2024 · External reference
Smoothing and differentiation of data by simplified least squares procedures
10.1021/ac60214a047 · 1964 · External reference
Deep learning-based classification of visual symptoms of bacterial wilt disease caused by Ralstonia solanacearum in tomato plants
10.1016/j.compag.2024.109617 · 2024 · External reference
Biocontrol of tomato bacterial wilt by a combination of Bacillus subtilis GSJB-1210 and ningnanmycin
10.1016/j.scienta.2023.112296 · 2023 · External reference
Identification of tomato bacterial wilt severity based on hyperspectral imaging technology and spectrum Transformer network
10.1016/j.ecoinf.2023.102353 · 2023 · External reference
Feature replacement and fusion enhance the accuracy of canopy spectral monitoring models for winter wheat leaf water content
10.1016/j.jag.2026.105110 · 2026 · External reference
Hyperspectral imaging detects biological stress of wheat for early diagnosis of crown rot disease
10.1016/j.compag.2023.108571 · 2024 · External reference
Real-time monitoring of Ralstonia solanacearum infection progress in tomato and Arabidopsis using bioluminescence imaging technology
10.1186/s13007-022-00841-x · 2022 · External reference
Comparative analysis of machine learning models and explainable AI for agriculture drought prediction: A case study of the Ta-pieh mountains
10.1016/j.agwat.2024.109176 · 2024 · External reference
Index for rating diagnostic tests
10.1002/1097-0142(1950)3:1<32::aid-cncr2820030106>3.0.co;2-3 · 1950 · External reference
Divergent abiotic spectral pathways unravel pathogen stress signals across species
10.1038/s41467-021-26335-3 · 2021 · External reference
Beyond AP: a new evaluation index for multiclass classification task accuracy
10.1007/s10489-021-02223-7 · 2021 · External reference
Hyperspectral imaging analysis for early detection of tomato bacterial leaf spot disease
10.1038/s41598-024-78650-6 · 2024 · External reference
Reduced content of gamma-aminobutyric acid enhances resistance to bacterial wilt disease in tomato
10.1111/pbi.14539 · 2025 · External reference
Early detection of tomato leaf spot and wilt diseases based on hyperspectral imaging technology
10.48130/vegres-0025-0010 · 2025 · External reference
Fingerprint spectral signatures revealing the spatiotemporal dynamics of Bipolaris spot blotch progression for presymptomatic diagnosis
10.1016/j.eng.2022.10.006 · 2023 · External reference
