NOVEL APPROACH FOR ESTIMATING NITROGEN CONTENT IN PADDY FIELDS USING LOW ALTITUDE REMOTE SENSING SYSTEM

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4. Development of a color-based, non-destructive method to determine leaf N levels of Hass avocado under field conditions Á. Gallegos et al.
5. Estimation of chlorophyll content in cotton leaves using UAV RGB imagery Y. Huang et al.
6. Development of a Target-to-Sensor Mode Multispectral Imaging Device for High-Throughput and High-Precision Touch-Based Leaf-Scale Soybean Phenotyping X. Li et al.
7. An unmanned aerial vehicle-based cotton nitrogen nutrition index estimation model utilizing feature selection and machine learning C. Xiao et al.
8. Multi-Angle Detection of Spatial Differences in Tea Physiological Parameters D. Duan et al.