Using UAV to Identify the Optimal Vegetation Index for Yield Prediction of Oil Seed Rape (Brassica napus L.) at the Flowering Stage
نویسندگان
چکیده
Suitability of the vegetation indices normalized difference index (NDVI), blue (BNDVI), and yellowness (NDYI) obtained by means UAV at flowering stage oil seed rape for prediction yield usability these in identification anomalies condition growth were verified based on regression analysis. Correlation analysis was performed to find degree dependence values NDVI, BNDVI, NDYI indices, which revealed a strong, significant linear positive BNDVI (R = 0.98) 0.95). The level correlation between NDVI weaker 0.70) than others. Regression closer determination functional seeds. Coefficients model reached following values: R2 0.48 0.95 0.90 (NDYI). Thus, it shown that increased density yellow flowers decreased relationship crop yield. is not appropriate assessing conditions yields rape. High accuracy achieved with use NDYI. demonstrated particularly can be used identify problems development flowering, their precise localization, hence targeted effective remedial measures line principles precision agriculture.
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2022
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs14194953