The invention relates to the technical field of agricultural
big data and intelligent
traditional Chinese medicine planting evaluation, and discloses a
traditional Chinese medicine planting
site selection evaluation method based on
big data. According to the scheme, sunshine and soil
salt content collection devices are deployed in candidate places, sampling is carried out daily to form two types of sequences, and a mean value is solved; normalizing a global minimum value and a global maximum value into standardized
sunlight and
low salt indexes, and carrying out arithmetic averaging to obtain baseline suitability; a perturbation step length is set according to the range and the candidate number, positive and negative disturbance and amplitude limiting are carried out on
sunlight and salt, and four types of disturbance baselines are reconstructed after normalization; the
sunlight sensitivity and the salt-containing sensitivity are added according to the ratio of the actual standardized step length to the suitability change, a penalty term is generated by taking the maximum value of the whole, the robustness suitability is obtained through deduction and amplitude limiting, and then quantile grading is used; and finally summarizing the
longitude and
latitude to form a structured result table.