The invention relates to the technical field of agricultural batch service
data processing, and discloses an agricultural batch service data multi-mode heterogeneous fusion
processing system and method.The method comprises the steps that firstly, structured data are collected, specifically, the structured data comprise agricultural wholesale
inventory system ERP and POS data; the collected data is cleaned, specifically, missing values, abnormal values and repeated values are processed, and then data
standardization is carried out; performing
feature fusion on the cleaned data, wherein the
feature fusion specifically comprises multi-
modal feature extraction; extracting semantic features from the text data by using a BERT model, outputting a 768-dimensional vector, extracting
time sequence features from the
time sequence data through LSTM, and splicing different
modal features into a unified vector according to weights; predicting future prices and demand quantities in combination with historical sales data and
sales promotion plans; and dynamically adjusting the selling price according to the
price prediction and competition data. According to the method, data islands are broken through, inventory, price, sales, weather and other data are integrated through multi-
modal fusion, and decision-making is prevented from depending on local information.