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Journal Abstract Search
178 related items for PubMed ID: 29084169
1. Artificial Neural Network to Predict Vine Water Status Spatial Variability Using Multispectral Information Obtained from an Unmanned Aerial Vehicle (UAV). Poblete T, Ortega-Farías S, Moreno MA, Bardeen M. Sensors (Basel); 2017 Oct 30; 17(11):. PubMed ID: 29084169 [Abstract] [Full Text] [Related]
2. Automatic Coregistration Algorithm to Remove Canopy Shaded Pixels in UAV-Borne Thermal Images to Improve the Estimation of Crop Water Stress Index of a Drip-Irrigated Cabernet Sauvignon Vineyard. Poblete T, Ortega-Farías S, Ryu D. Sensors (Basel); 2018 Jan 30; 18(2):. PubMed ID: 29385722 [Abstract] [Full Text] [Related]
3. Entropy Weight Ensemble Framework for Yield Prediction of Winter Wheat Under Different Water Stress Treatments Using Unmanned Aerial Vehicle-Based Multispectral and Thermal Data. Fei S, Hassan MA, Ma Y, Shu M, Cheng Q, Li Z, Chen Z, Xiao Y. Front Plant Sci; 2021 Jan 30; 12():730181. PubMed ID: 34987529 [Abstract] [Full Text] [Related]
8. Maize Crop Coefficient Estimated from UAV-Measured Multispectral Vegetation Indices. Zhang Y, Han W, Niu X, Li G. Sensors (Basel); 2019 Nov 29; 19(23):. PubMed ID: 31795309 [Abstract] [Full Text] [Related]
9. Proposal of a Method to Determine the Correlation between Total Suspended Solids and Dissolved Organic Matter in Water Bodies from Spectral Imaging and Artificial Neural Networks. R Veronez M, Kupssinskü LS, T Guimarães T, Koste EC, da Silva JM, de Souza LV, Oliverio WFM, Jardim RS, Koch IÉ, de Souza JG, Gonzaga L, Mauad FF, Inocencio LC, Bordin F. Sensors (Basel); 2018 Jan 09; 18(1):. PubMed ID: 29315219 [Abstract] [Full Text] [Related]
10. Estimation of soil salt content by combining UAV-borne multispectral sensor and machine learning algorithms. Wei G, Li Y, Zhang Z, Chen Y, Chen J, Yao Z, Lao C, Chen H. PeerJ; 2020 Jan 09; 8():e9087. PubMed ID: 32377459 [Abstract] [Full Text] [Related]
11. Estimation of Peanut Leaf Area Index from Unmanned Aerial Vehicle Multispectral Images. Qi H, Zhu B, Wu Z, Liang Y, Li J, Wang L, Chen T, Lan Y, Zhang L. Sensors (Basel); 2020 Nov 25; 20(23):. PubMed ID: 33255612 [Abstract] [Full Text] [Related]
12. Combining Unmanned Aerial Vehicle (UAV)-Based Multispectral Imagery and Ground-Based Hyperspectral Data for Plant Nitrogen Concentration Estimation in Rice. Zheng H, Cheng T, Li D, Yao X, Tian Y, Cao W, Zhu Y. Front Plant Sci; 2018 Nov 25; 9():936. PubMed ID: 30034405 [Abstract] [Full Text] [Related]
13. Inversion of soil salinity in China's Yellow River Delta using unmanned aerial vehicle multispectral technique. Zhang Z, Niu B, Li X, Kang X, Wan H, Shi X, Li Q, Xue Y, Hu X. Environ Monit Assess; 2022 Dec 29; 195(1):245. PubMed ID: 36577815 [Abstract] [Full Text] [Related]
14. Applications of Unmanned Aerial Vehicle Based Imagery in Turfgrass Field Trials. Zhang J, Virk S, Porter W, Kenworthy K, Sullivan D, Schwartz B. Front Plant Sci; 2019 Dec 29; 10():279. PubMed ID: 30930917 [Abstract] [Full Text] [Related]
15. Multi temporal multispectral UAV remote sensing allows for yield assessment across European wheat varieties already before flowering. Camenzind MP, Yu K. Front Plant Sci; 2023 Dec 29; 14():1214931. PubMed ID: 38235203 [Abstract] [Full Text] [Related]
16. A Smart Crop Water Stress Index-Based IoT Solution for Precision Irrigation of Wine Grape. Fuentes-Peñailillo F, Ortega-Farías S, Acevedo-Opazo C, Rivera M, Araya-Alman M. Sensors (Basel); 2023 Dec 20; 24(1):. PubMed ID: 38202887 [Abstract] [Full Text] [Related]
17. Estimation of Nitrogen Nutrition Status in Winter Wheat From Unmanned Aerial Vehicle Based Multi-Angular Multispectral Imagery. Lu N, Wang W, Zhang Q, Li D, Yao X, Tian Y, Zhu Y, Cao W, Baret F, Liu S, Cheng T. Front Plant Sci; 2019 Dec 20; 10():1601. PubMed ID: 31921250 [Abstract] [Full Text] [Related]
18. Biomass estimation of cultivated red algae Pyropia using unmanned aerial platform based multispectral imaging. Che S, Du G, Wang N, He K, Mo Z, Sun B, Chen Y, Cao Y, Wang J, Mao Y. Plant Methods; 2021 Feb 04; 17(1):12. PubMed ID: 33541365 [Abstract] [Full Text] [Related]
19. Using Unmanned Aerial Vehicle-Based Multispectral Image Data to Monitor the Growth of Intercropping Crops in Tea Plantation. Shi Y, Gao Y, Wang Y, Luo D, Chen S, Ding Z, Fan K. Front Plant Sci; 2022 Feb 04; 13():820585. PubMed ID: 35283919 [Abstract] [Full Text] [Related]
20. Soybean (Glycine max L.) Leaf Moisture Estimation Based on Multisource Unmanned Aerial Vehicle Image Feature Fusion. Yang W, Li Z, Chen G, Cui S, Wu Y, Liu X, Meng W, Liu Y, He J, Liu D, Zhou Y, Tang Z, Xiang Y, Zhang F. Plants (Basel); 2024 May 29; 13(11):. PubMed ID: 38891307 [Abstract] [Full Text] [Related] Page: [Next] [New Search]