UAV/SATELLITE MULTISCALE DATA FUSION FOR CROP MONITORING AND EARLY STRESS DETECTION

29 citations as recorded by crossref.

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3. High spatio-temporal monitoring of century-old biochar effects on evapotranspiration through the ETLook model: a case study with UAV and satellite image fusion based on additive wavelet transform (AWT) R. Heidarian Dehkordi et al. 10.1080/15481603.2021.2016262
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12. Evapotranspiration measurements in pasture, crops, and native Brazilian Cerrado based on UAV-borne multispectral sensor G. de Lima et al. 10.1007/s10661-024-13224-7
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17. Estimation of Agronomic Characters of Wheat Based on Variable Selection and  Machine Learning Algorithms D. Wang et al. 10.3390/agronomy13112808
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19. A Comprehensive Review of High Throughput Phenotyping and Machine Learning for Plant Stress Phenotyping T. Gill et al. 10.1007/s43657-022-00048-z
20. Estimating Crop Seed Composition Using Machine Learning from Multisensory UAV Data K. Dilmurat et al. 10.3390/rs14194786
21. Technology and Data Fusion Methods to Enhance Site-Specific Crop Monitoring U. Ahmad et al. 10.3390/agronomy12030555
22. Selection of suitable fusional band combination from Sentinel-2A and UAV imagery for agricultural applications A. Allu & S. Mesapam 10.1080/14498596.2024.2353158
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29. Assessing field scale spatiotemporal heterogeneity in salinity dynamics using aerial data assimilation S. Ebrahimi et al. 10.1016/j.agwat.2024.109114