Research graph
References from UAV Multispectral Remote Sensing for Rice Leaf Blast Severity Grading Using an Improved 1DCNN-Transformer Ensemble Model. Local targets link to admitted publications; unresolved targets remain external evidence.
10.3390/molecules29030682
10.3390/molecules29030682 · External reference
10.3389/fpls.2025.1629283
10.3389/fpls.2025.1629283 · External reference
10.3390/agronomy14091934
10.3390/agronomy14091934 · External reference
10.3390/agronomy14122796
10.3390/agronomy14122796 · External reference
Detection of rice sheath blight disease index based on split-window Gram-Schmidt transformation and PSO-SVR algorithm
2021 · External reference
10.3389/fpls.2026.1914577
10.3389/fpls.2026.1914577 · External reference
Unresolved reference
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Unresolved reference
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Unresolved reference
External reference
Green Control Technologies and Extension Measures for Rice Pests and Diseases
2026 · External reference
Unresolved reference
External reference
Research Status and Prospect of Unmanned Aerial Vehicle Remote Sensing in Inversion of Rice Agronomic Physicochemical Parameters
2023 · External reference
Research progress of crop growth monitoring based on UAV remote sensing
2024 · External reference
10.3390/s24051693
10.3390/s24051693 · External reference
10.3389/fpls.2025.1536177
10.3389/fpls.2025.1536177 · External reference
Estimation of alfalfa yields on the basis of unmanned aerial vehicle multispectral and red-green-blue images
2024 · External reference
10.3390/agronomy13051222
10.3390/agronomy13051222 · External reference
10.3390/rs10040525
10.3390/rs10040525 · External reference
10.3390/s18030868
10.3390/s18030868 · External reference
10.3390/agronomy14030602
10.3390/agronomy14030602 · External reference
Early detection of rice blast using UAV hyperspectral imagery and multi-scale integrator selection attention transformer network (MS-STNet)
10.1016/j.compag.2025.110007 · 2025 · External reference
10.1007/978-3-319-24574-4_28
10.1007/978-3-319-24574-4_28 · External reference
Research on Remote Sensing Extraction Method for U-Net Semantic Segmentation of Rice Field Combined with SAM
2026 · External reference
Unresolved reference
External reference
Significant remote sensing vegetation indices: A review of developments and applications
10.1155/2017/1353691 · 2017 · External reference
Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves
10.1078/0176-1617-00887 · 2003 · External reference
UAV-based chlorophyll content estimation by evaluating vegetation index responses under different crop coverages
10.1016/j.compag.2022.106775 · 2022 · External reference
Improving estimation of summer maize nitrogen status with red edge-based spectral vegetation indices
10.1016/j.fcr.2013.12.018 · 2014 · External reference
InceptionTime: Finding AlexNet for time series classification
10.1007/s10618-020-00710-y · 2020 · External reference
Squeeze-and-excitation networks
10.1109/tpami.2019.2913372 · 2020 · External reference
Focal loss for dense object detection
10.1109/tpami.2018.2858826 · 2020 · External reference
Random forests
10.1023/a:1010933404324 · 2001 · External reference
Greedy function approximation: A gradient boosting machine
10.1214/aos/1013203451 · 2001 · External reference
Stacked generalization
10.1016/s0893-6080(05)80023-1 · 1992 · External reference
10.3390/rs8010010
10.3390/rs8010010 · External reference
Study on the decision-making scheme of soil-rice canopy variable nitrogen application based on GNDVI index
10.3901/jme.2007.03.160 · 2022 · External reference
Kharif rice growth and area monitoring in Gosaba CD block of Indian Sundarbans region using multi-temporal dual-pol SAR data
10.1007/s10668-023-04138-4 · 2025 · External reference
Information extraction of rice leaf roller based on hyperspectral imaging technology
2022 · External reference
Critical review of fast detection of crop nutrient and physiological information with spectral and imaging technology
2015 · External reference
The potential of the MERIS Terrestrial Chlorophyll Index for crop yield prediction
10.1080/2150704x.2014.963734 · 2014 · External reference
Mapping minor plantation species for New Zealand’s small-scale forests using Sentinel-2 satellite data
10.33494/nzjfs532023x314x · 2023 · External reference
Prediction Model of Rice Panicles Blast Disease Degree Based on Canopy Hyperspectral Reflectance
2021 · External reference
Rice biomass estimation based on multispectral imagery from unmanned aerial vehicles
2024 · External reference
Comparative analysis of EO-1 ALI and Hyperion, and Landsat ETM+ data for mapping forest crown closure and leaf area index
10.3390/s8063744 · 2008 · External reference
Leaf-area-index inversion of rice under different nitrogen application rates based on UAV multispectral imagery
2024 · External reference
10.3389/fpls.2022.1037760
10.3389/fpls.2022.1037760 · External reference
Bridging the genotype–phenotype gap for a Mediterranean pine by semi-automatic crown identification and multispectral imagery
10.1111/nph.16862 · 2021 · External reference
Canopy-scale wavelength and vegetative index sensitivities to cotton growth parameters and nitrogen status
10.1007/s11119-014-9383-4 · 2015 · External reference
Wheat yellow rust monitoring by learning from multispectral UAV aerial imagery
10.1016/j.compag.2018.10.017 · 2018 · External reference
Monitoring of rice damage by rice leaf roller using UAV-based remote sensing
2020 · External reference
10.1007/978-3-319-24574-4_28
10.1007/978-3-319-24574-4_28 · ExternalCitation · doi-reference
InceptionTime: Finding AlexNet for time series classification
10.1007/s10618-020-00710-y · ExternalCitation · doi-reference
Kharif rice growth and area monitoring in Gosaba CD block of Indian Sundarbans region using multi-temporal dual-pol SAR data
10.1007/s10668-023-04138-4 · ExternalCitation · doi-reference
Canopy-scale wavelength and vegetative index sensitivities to cotton growth parameters and nitrogen status
10.1007/s11119-014-9383-4 · ExternalCitation · doi-reference
Wheat yellow rust monitoring by learning from multispectral UAV aerial imagery
10.1016/j.compag.2018.10.017 · ExternalCitation · doi-reference
UAV-based chlorophyll content estimation by evaluating vegetation index responses under different crop coverages
10.1016/j.compag.2022.106775 · ExternalCitation · doi-reference
Early detection of rice blast using UAV hyperspectral imagery and multi-scale integrator selection attention transformer network (MS-STNet)
10.1016/j.compag.2025.110007 · ExternalCitation · doi-reference
Improving estimation of summer maize nitrogen status with red edge-based spectral vegetation indices
10.1016/j.fcr.2013.12.018 · ExternalCitation · doi-reference
Stacked generalization
10.1016/s0893-6080(05)80023-1 · ExternalCitation · doi-reference
Random forests
10.1023/a:1010933404324 · ExternalCitation · doi-reference
Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves
10.1078/0176-1617-00887 · ExternalCitation · doi-reference
The potential of the MERIS Terrestrial Chlorophyll Index for crop yield prediction
10.1080/2150704x.2014.963734 · ExternalCitation · doi-reference
Focal loss for dense object detection
10.1109/tpami.2018.2858826 · ExternalCitation · doi-reference
Squeeze-and-excitation networks
10.1109/tpami.2019.2913372 · ExternalCitation · doi-reference
Bridging the genotype–phenotype gap for a Mediterranean pine by semi-automatic crown identification and multispectral imagery
10.1111/nph.16862 · ExternalCitation · doi-reference
Significant remote sensing vegetation indices: A review of developments and applications
10.1155/2017/1353691 · ExternalCitation · doi-reference
Greedy function approximation: A gradient boosting machine
10.1214/aos/1013203451 · ExternalCitation · doi-reference
Mapping minor plantation species for New Zealand’s small-scale forests using Sentinel-2 satellite data
10.33494/nzjfs532023x314x · ExternalCitation · doi-reference
10.3389/fpls.2022.1037760
10.3389/fpls.2022.1037760 · ExternalCitation · doi-reference
10.3389/fpls.2025.1536177
10.3389/fpls.2025.1536177 · ExternalCitation · doi-reference
10.3389/fpls.2025.1629283
10.3389/fpls.2025.1629283 · ExternalCitation · doi-reference
10.3389/fpls.2026.1914577
10.3389/fpls.2026.1914577 · ExternalCitation · doi-reference
10.3390/agronomy13051222
10.3390/agronomy13051222 · ExternalCitation · doi-reference
10.3390/agronomy14030602
10.3390/agronomy14030602 · ExternalCitation · doi-reference
10.3390/agronomy14091934
10.3390/agronomy14091934 · ExternalCitation · doi-reference
10.3390/agronomy14122796
10.3390/agronomy14122796 · ExternalCitation · doi-reference
10.3390/molecules29030682
10.3390/molecules29030682 · ExternalCitation · doi-reference
10.3390/rs10040525
10.3390/rs10040525 · ExternalCitation · doi-reference
10.3390/rs8010010
10.3390/rs8010010 · ExternalCitation · doi-reference
10.3390/s18030868
10.3390/s18030868 · ExternalCitation · doi-reference
10.3390/s24051693
10.3390/s24051693 · ExternalCitation · doi-reference
Comparative analysis of EO-1 ALI and Hyperion, and Landsat ETM+ data for mapping forest crown closure and leaf area index
10.3390/s8063744 · ExternalCitation · doi-reference
Study on the decision-making scheme of soil-rice canopy variable nitrogen application based on GNDVI index
10.3901/jme.2007.03.160 · ExternalCitation · doi-reference
