Overseas support-type agricultural product utilization system

Abstract

To address such problems that when agricultural product supply destinations are developing countries and areas in need of assistance, demand forecasts of agricultural products and selection of transportation means are inefficient, resulting in issues such as maintaining quality during transportation, wasting surplus agricultural products, and generating costs.SOLUTION: There is provided a system of: using AI technology to predict demand of a supply destination; selecting optimal agricultural products on the basis of types and amounts of agricultural products, transportation destination characteristics and farmer inventory data; and efficiently supplying frozen or processed agricultural products. The system thus automates the selection of transportation routes and transportation means (vehicles, ships, drones, etc.) and implements quality control and temperature control, thereby achieving the optimum supply of agricultural products while maintaining the quality of agricultural products during transportation.SELECTED DRAWING: None

Description

[Technical Field]

[0001] This invention relates to a system for efficiently supplying surplus agricultural products to developing countries and areas in need of assistance, and in particular to technology that uses AI to optimize demand forecasts for agricultural products, selection of export destinations, inventory management at suppliers (farmers), optimal delivery methods, and quality control during transportation. [Background technology]

[0002] In the past, it was difficult to match the appropriate type and quantity of agricultural produce to local demand, which made supply particularly inefficient to developing countries and areas in need of assistance.In addition, there were many cases where optimization was not carried out to maintain the quality of agricultural produce during transportation, resulting in waste of agricultural produce. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] WO2018032868A1 This is technology related to methods of transporting agricultural products, but does not include a supply system specialized for developing countries. [Patent Document 2] JP2020045692A Proposals have been made regarding delivery methods for agricultural products, but there is a lack of optimization of transportation method selection based on regional characteristics and supply and demand adjustment. Summary of the Invention [Problem to be solved by the invention]

[0004] Conventional technology was unable to take into account local needs and transportation conditions when supplying agricultural products, resulting in high transportation costs and limited progress in quality control and supply efficiency. [Means for solving the problem]

[0005] This system uses AI to automatically analyze agricultural product supply and demand forecasts and the characteristics of supply destinations, and selects the optimal agricultural products and transportation methods. This enables efficient use of surplus agricultural products and enables support based on regional characteristics. Quality control, temperature, and humidity control during transportation are also performed automatically, ensuring transportation quality. [Effects of the Invention]

[0006] The present invention improves the efficiency of agricultural product supply to developing countries, reduces waste of surplus agricultural products, and enables the delivery of agricultural products suited to the recipient. Furthermore, quality is maintained during transportation, improving consumer satisfaction. DETAILED DESCRIPTION OF THE INVENTION

[0007] In one embodiment of the present invention, in order to export surplus agricultural products, AI is used to optimize inventory data from suppliers (farmers), demand forecasts for destinations, and the type and quantity of agricultural products, and then the products are frozen and processed. By selecting the optimal route for transportation, temperature and quality control is maintained during transportation, and the products are delivered to their destinations efficiently.

[0008] The supply and demand of agricultural products will be centrally managed using a cloud management system, making it possible to monitor in real time the type of produce, quantity, transportation conditions, etc. Optimization of transportation routes and selection of delivery destinations will also be carried out automatically using AI, with the optimal delivery method selected for each supply destination.

Claims

1. This is an export-type agricultural product utilization system for supplying surplus agricultural products to developing countries or areas in need of support. It is characterized by having an export support module that uses AI to predict demand for agricultural products, select export destinations, and analyze inventory management information from suppliers (farmers) to automatically select the optimal delivery method, and a processing mechanism that freezes or processes the agricultural products depending on their storage conditions, thereby automatically achieving optimal matching between suppliers and demanders.

2. 2. The agricultural product utilization system for overseas support according to claim 1, further comprising an agricultural product selection module that automatically selects the most suitable type of agricultural product based on the regional characteristics of the export destination, transportation conditions (temperature, humidity, etc.), agricultural product consumption culture, etc.

3. 3. An overseas support agricultural product utilization system according to claim 1 or 2, characterized in that it is equipped with an automatic selection function for predicting surplus agricultural products based on the inventory status of suppliers (farmers) and for freezing and processing the products.

4. 4. An overseas support agricultural product utilization system according to claim 1, further comprising a quality control module that records the quality control and transportation history of agricultural products after freezing or processing, and monitors temperature and humidity changes during transportation.

5. 5. An overseas support agricultural crop utilization system according to any one of claims 1 to 4, characterized in that it has a delivery route optimization function that selects the most appropriate means of transportation (vehicle, ship, airplane, drone, etc.) by comprehensively considering the transportation distance, temperature and humidity conditions, logistics costs, etc. when selecting a method of delivering agricultural crops to a destination.

6. 6. An overseas support agricultural product utilization system according to any one of claims 1 to 5, characterized in that it is provided with a delivery timing adjustment function that monitors the demand situation and consumption volume at the supply destination in real time and automatically adjusts the optimal delivery timing.

7. 7. An overseas support agricultural product utilization system according to any one of claims 1 to 6, characterized in that it comprises a sales collaboration module for automatically classifying and distributing delivery targets based on the selection of various products (gifts, subscriptions, regular deliveries, etc.) after the agricultural products have been frozen or processed.

8. 8. An overseas support agricultural product utilization system according to any one of claims 1 to 7, characterized in that it is equipped with a special packaging mechanism for preventing damage or deterioration of quality of frozen-stored agricultural products during transportation, and for controlling temperature and humidity during transportation.

9. 9. An overseas support agricultural product utilization system according to any one of claims 1 to 8, characterized in that it has a learning function that automatically learns information that will be useful for the next transportation based on acceptance records from demand parties and consumer feedback information, thereby improving the accuracy of matching supply sources.

10. An overseas support type agricultural product utilization system, as described in any one of claims 1 to 9, characterized in that it provides interactive support to users (farmers and traders) through an interface using AI characters to make final decisions regarding product selection and transportation methods.