NON-DESTRUCTIVE MONITORING OF RICE BY HYPERSPECTRAL IN-FIELD SPECTROMETRY AND UAV-BASED REMOTE SENSING: CASE STUDY OF FIELD-GROWN RICE IN NORTH RHINE-WESTPHALIA, GERMANY

12 citations as recorded by crossref.

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3. Improving the estimation of rice above-ground biomass based on spatio-temporal UAV imagery and phenological stages Y. Dai et al. 10.3389/fpls.2024.1328834
4. Very high resolution aerial data to support multi-temporal precision agriculture information management L. Pádua et al. 10.1016/j.procs.2017.11.055
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7. Urban Growth Patterns and Forest Carbon Dynamics in the Metropolitan Twin Cities of Islamabad and Rawalpindi, Pakistan A. Mannan et al. 10.3390/su132212842
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10. Monitoring the Structure of Regenerating Vegetation Using Drone-Based Digital Aerial Photogrammetry R. Nuijten et al. 10.3390/rs13101942
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12. Estimation of Agronomic Characters of Wheat Based on Variable Selection and  Machine Learning Algorithms D. Wang et al. 10.3390/agronomy13112808