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

13 citations as recorded by crossref.

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3. Very high resolution aerial data to support multi-temporal precision agriculture information management L. Pádua et al. 10.1016/j.procs.2017.11.055
4. Performance and Accuracy Comparisons of Classification Methods and Perspective Solutions for UAV-Based Near-Real-Time “Out of the Lab” Data Processing Z. Varga et al. 10.3390/s22228629
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9. 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
10. Remote sensing monitoring of rice growth under Cnaphalocrocis medinalis (Guenée) damage by integrating satellite and UAV remote sensing data C. Chen et al. 10.1080/01431161.2024.2302350
11. A Review of Estimation Methods for Aboveground Biomass in Grasslands Using UAV C. Bazzo et al. 10.3390/rs15030639
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13. Estimation of Agronomic Characters of Wheat Based on Variable Selection and  Machine Learning Algorithms D. Wang et al. 10.3390/agronomy13112808