The invention belongs to the technical field of smart
agriculture, and provides a rice fertilization decision-making method based on a standard ratio
vegetation index, which comprises the steps of fertilization
processing,
spectral data acquisition,
data processing and analysis, fertilization decision-making model construction, target area rice
canopy spectrum acquisition, fertilization scheme generation, fertilization decision execution and the like. On the basis of unmanned aerial vehicle
remote sensing spectral data of a
canopy in the whole growth period of rice, a
nitrogen fertilizer nutrition diagnosis and fertilization regulation model is constructed by calculating a ratio
vegetation index. The model can accurately identify
canopy spectrum differences under different
nitrogen fertilizer treatment in the flourishing period of
rice growth, and realizes accurate diagnosis of
nitrogen abundance and deficiency conditions of the overground part, thereby improving the efficiency and precision of fertilization, reducing environmental
pollution caused by excessive
nitrogen fertilizer application, and realizing cost saving and efficiency improvement.