The invention relates to the technical field of agricultural
data visualization, in particular to a salinized cotton field visual multi-point
salinity collection and
analysis method and
system.The method comprises the following steps that
soil conductivity distribution data of a salinized cotton field area is obtained, a high-
salinity accumulation area and a low-
salinity dilution area are recognized, particle gap distribution characteristics are collected, and a salinized cotton field is obtained; and screening areas with loose or compact particle structures, executing
temperature gradient analysis, screening surface thermal environment abnormal subareas, detecting
wind speed distribution, removing
wind field disturbance areas, and obtaining a recommended planting area
list. According to the method, high and
low salt areas are accurately identified through salt space distribution analysis, distribution precision is improved,
humidity dynamic expression is refined, structural abnormal blocks are screened by using a particle gap change trend,
soil management is optimized, surface temperature and
wind speed data analysis is superposed, thermal disturbance and
wind field abnormity are eliminated, and
agricultural management precision is improved through multi-dimensional data fusion. The capability of coping with a complex environment is enhanced, efficient
decision making is effectively supported, and the overall agricultural production benefit is improved.