A drone-based study on the possibilities of agricultural crop assessment using reflectance index in NIR
Asparuh Atanasov
Abstract: Тhrough the reflective vegetation indices to assess plant stress, we can accurately determine the condition of the crops and plan the necessary actions. The research aims to evaluate the performance of the NIRI (Near InfraRed Index) index using a NIR camera mounted on a drone. The vegetation index NIRI compared to NDVI was studied. The results show good estimation capabilities and similar trends of change. The results of regression analysis of the relationships between NDVI and NIRI for wheat crops are Multiple R = 0.979; R Square = 0.959.
Keywords: NDVI; NIR; NIRI; vegetation indices
Citation: Atanasov, A. (2024). A drone-based study on the possibilities of agricultural crop assessment using reflectance index in NIR. Bulg. J. Agric. Sci., 30(6), 1136–1140
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| Date published: 2024-12-16
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