This invention belongs to the field of
data processing technology and proposes a method and
system for identifying inefficient areas in
saline-alkali land flower fields using
seedling trays. Specifically, the method involves: first, acquiring the spatial boundary information of the flower field area; then, dividing the area into grids based on the spatial boundary information; periodically collecting multi-temporal
remote sensing data for each grid; and constructing a time-series measurement of
saline-alkali land corresponding to each grid using the multi-temporal
remote sensing data; finally, determining whether there is a risk of
salinity accumulation and
water stagnation imbalance based on the time-series measurement of
saline-alkali land. Based on multi-source
remote sensing data, a dynamic imbalance
risk identification model is established, effectively solving the management problems of accurately identifying potential inefficient areas and making
irrigation decisions unsuitable for local conditions when flower fields are deployed over large areas in saline-alkali land. This significantly improves the landscape stability,
resource utilization efficiency, and management accuracy of saline-alkali land flower systems, providing effective support for achieving large-scale, intelligent, and low-intervention landscape
ecosystem operation.