Intelligent agricultural product data prediction method and system

• Main Authors: LI GANQIONG, LIU JIAJIA, XU SHIWEI, ZHUANG JIAYU
• Format: Patent
• Language: Chinese; English
• Published: 15.01.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The embodiment of the invention discloses an intelligent agricultural product data prediction method and system. The method comprises the steps of obtaining historical balance table data of agricultural products; and inputting the historical balance table data into the trained neural network model, and outputting predicted target balance table data in a preset time period. According to the technical scheme provided by the embodiment of the invention, the balance table data in a certain time period in the future is automatically realized through the neural network model, the future agriculturaloperation state is analyzed and predicted by effectively utilizing various agricultural product data, and the accuracy and high efficiency of analyzing and predicting the various agricultural productdata are improved. 本发明实施例公开了一种智能农产品数据预测方法及系统。该方法包括：获取农产品的历史平衡表数据；将历史平衡表数据输入训练后的神经网络模型，并输出预测的预设时间段的目标平衡表数据。本发明实施例所提供的技术方案，通过神经网络模型自动的实现未来一定时间段内的平衡表数据，实现了有效利用各类农产品数据对未来农业运行状态进行分析及预测，并提高了对各种农产品数据分析预测的准确性及高效性。