Estimation of Apple Flowering Frost Loss for Fruit Yield Based on Gridded Meteorological and Remote Sensing Data in Luochuan, Shaanxi Province, China

With the increase in frequency of extreme weather events recent years, apple growing areas Loess Plateau frequently encounter frost during flowering. Accurately assessing loss orchards flowering period is great significance for optimizing disaster prevention measures, market price regulation, agricultural insurance, and government subsidy programs. The previous research on orchard disasters mainly focused early risk warning. Therefore, to effectively quantify loss, this paper proposes a assessment model constructed using meteorological remote sensing information applies regional-scale fruit after frost. As an example, article examines event that occurred Luochuan County, Northwestern China, 17 April 2020. A multivariable linear regression (MLR) was based planting number days, chill accumulation before frost, as well minimum temperature daily difference day Then, simulation accuracy verified leave-one-out cross-validation (LOOCV) method, coefficient determination (R2), root mean square error (RMSE), normalized (NRMSE) were 0.69, 18.76%, respectively. Additionally, extended Fourier amplitude sensitivity test (EFAST) method used analysis parameters. results show simulated reduction ratio highly sensitive years with values ?0.74, ?0.25, ?0.15, This can not only assist governments traditional measures regulation but also provide reference insurance companies formulate plans compensation