Character-linked damage assessment and minimum compensation support system for agricultural workers
An automated compensation support system addresses the cumbersome and subjective nature of traditional agricultural damage compensation by using sensors and AI characters to provide objective and interactive compensation information, simplifying the process and enhancing efficiency.
Patent Information
- Application Number
- JP2025115013
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2025-07-08
- Publication Date
- 2025-09-04
AI Technical Summary
Traditional agricultural damage compensation processes are cumbersome and subjective, making it difficult for small-scale farmers to receive appropriate compensation.
An automated compensation support system using sensors, AI characters, and modules for damage assessment and calculation, providing objective and interactive compensation information.
Simplifies the compensation process, reduces mental burden, and enables efficient management of compensation history, ensuring immediate and objective information for farmers.
Abstract
Description
[Technical Field]
[0001] The present invention relates to compensation support in the event of damage to agricultural crops, and in particular to an agricultural support compensation system that automates damage assessment and compensation calculation due to natural disasters and abnormal events, and enables interactive notification and confirmation by AI characters. [Background technology]
[0002] Traditionally, agricultural damage compensation required manual damage surveys and applications, which made the procedures cumbersome and dependent on subjective judgment. It was also difficult for small-scale farmers and those engaged in side jobs to receive appropriate compensation. [Prior art documents] [Patent documents]
[0003] [Patent Document 1] WO2006063314A3 Discloses a system for automatically controlling pruning and harvesting using a visual recognition type agricultural robot. [Patent Document 2] US20130204437A1 discloses an autonomous agricultural robot that uses image recognition and a control module. [Patent Document 3] US10846843B2 discloses a farmland monitoring and analysis platform based on satellite and UAV imagery. Summary of the Invention [Problem to be solved by the invention]
[0004] The purpose of this project is to provide an automatic compensation support system that can objectively and quickly present compensation conditions for the various damage risks that agricultural workers encounter and provide procedural support in an interactive format. [Means for solving the problem]
[0005] The system provides a comprehensive range of services, including a compensation module that uses sensors to collect work records and abnormality information, automatically assesses damage and calculates compensation amounts, notification and response functions using AI characters, and even application support that supports optimal selection of compensation sources and voice input. [Effects of the Invention]
[0006] Farmers will be able to receive immediate and objective compensation information when damage occurs, simplifying the application process and reducing the mental burden. In addition, compensation history will be managed on the cloud, enabling efficient coordination between public and private support. DETAILED DESCRIPTION OF THE INVENTION
[0007] The agricultural support compensation system consists of a sensor module that collects various data related to cultivation, harvesting, and delivery, an analysis module that assesses damage and calculates compensation, and an AI character control module that handles notifications, confirmation, and application support. The AI character provides explanations and empathetic dialogue according to the type of damage, such as natural disasters or pests, and also handles compensation payment confirmation and contract changes.
Claims
1. An agricultural support compensation system characterized by comprising: a sensor module that acquires work records, environmental data, or anomaly detection information related to the cultivation, harvesting, or delivery of agricultural crops; a damage assessment module that automatically assesses the presence and extent of damage based on the data; a compensation calculation module that calculates the amount of compensation or minimum guaranteed revenue based on the damage assessment results; and an AI character control module that presents the information in an interactive format using natural language.
2. 2. An agricultural support compensation system according to claim 1, wherein the damage assessment module automatically classifies information on losses of agricultural crops caused by natural disasters, pests, equipment abnormalities, AI control malfunctions, transportation disruptions, etc.
3. 3. An agricultural support compensation system according to claim 1, wherein the compensation calculation module automatically calculates the amount of compensation based on a comparison with standard revenue by referring to past harvest results, weather conditions, regional market prices, shipping quantities, contract information, etc.
4. An agricultural support compensation system, characterized in that, in the compensation system described in any one of claims 1 to 3, the AI character control module is capable of notifying of damage occurrence, explaining compensation conditions, engaging in empathetic dialogue, and providing compensation confirmation responses, etc.
5. An agricultural support compensation system according to any one of claims 1 to 4, characterized in that the compensation is paid from compensation funds from local governments, insurance institutions, agricultural cooperatives, or private sponsors, and that the system is equipped with a compensation allocation module that optimally selects the payment source based on compensation history.
6. 6. An agricultural support compensation system according to any one of claims 1 to 5, characterized in that the compensation content can be linked to various agricultural support systems such as robot-introduced agriculture, AI-controlled agriculture, and automatic delivery agriculture, and that damage data can be obtained from the linked systems to perform compensation assessment.
7. An agricultural support compensation system characterized in that the compensation system described in any one of claims 1 to 6 is equipped with a secure management mechanism that records and stores dialogue logs by AI characters, compensation application history, and payment records in the cloud, and makes them accessible only to the user or an authorized administrator.
8. An agricultural support compensation system, characterized in that the compensation system described in any one of claims 1 to 7 is equipped with a voice procedure support function that allows users to perform operations such as compensation applications, confirmations, objections, and contract changes in an interactive format with an AI character by voice input in natural language.
9. An agricultural support compensation system according to any one of claims 1 to 8, characterized in that it is equipped with a diagnostic support module that presents part-time farmers or elderly agricultural workers with a minimum guarantee model based on working hours, work frequency, harvest rate, etc., and is able to propose optimal compensation conditions individually.
10. An agricultural support compensation system according to any one of claims 1 to 9, characterized in that it is equipped with an application assistance module that can automatically generate the documents or report forms required for farmers to report or apply to local governments or insurance institutions based on the agricultural support history and damage assessment results by an AI character.
Citation Information
Patent Citations
Utilizing artificial intelligence with captured images to detect agricultural failure
US10846843B2
Agricultural robot system and method
US20130204437A1
Agricultural robot system and method
WO2006063314A3