Method and device for intelligently scheduling agricultural product resources

Abstract

The invention provides a method and device for intelligently scheduling agricultural product resources, and the method comprises the steps: a step of obtaining delivery destination information: obtaining the delivery destination information; an agricultural product information acquisition step of acquiring the purchasing price S of the agricultural product in the production place, the daily priceP of the agricultural product in the delivery destination, and the delivery amount R of the agricultural product from the production place to the delivery destination; a transportation route and transportation cost calculation step: calculating an optimal transportation route according to the address of the production place and the position information of the delivery destination so as to obtain atransportation distance d from the production place to the delivery destination and a transportation cost F; a loss information acquisition step of acquiring a sales loss ratio LT of the agriculturalproduct at a delivery destination; and an optimal delivery destination calculation step of determining the optimal delivery destination of the agricultural product according to the target function based on the delivery destination information, the purchase price S, the daily price P, the delivery amount R, the distance d, the transportation cost F and the sales loss ratio LT.

Description

Technical field[0001]The present invention relates to the field of big data analysis, and in particular, to a method and device for intelligently scheduling agricultural product resources using big data.Background technique[0002]In the process of agricultural product circulation, agricultural products are perishable, easily damaged, large in size, scattered in production areas, etc., and the costs of various large and small wholesale markets across the country are not the same, leading to the impact of weather, seasons and other factors at the same time The volatility is greater. After agricultural products are on the market, how to rationally dispatch the distribution of agricultural products to the market and how to adjust the contradiction between production and sales to deliver economic benefits and reduce agricultural product losses are an important part of agricultural product circulation.[0003]In the prior art, some methods for resource scheduling of agricultural products hav...

AI Technical Summary

Problems solved by technology

[0007] In order to solve the above technical problems, such as low data processing accuracy, unreasonable parameter setting, and low result accuracy in the prior art described above, the present invention proposes a method for scheduling agricultural product resources based on agricultural big data and machine learning. A method and device for intelligently dispatching agricultural products to the optimal delivery destination (delivery market) under the premise of comprehensively considering various factors

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