Agricultural Management System Optimizing Crop Rotation
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Solution Overview
Problem
Farmers face challenges in determining and adapting agricultural cultivation strategies due to the complexity of crop rotation, resource management, and the need to balance economic, environmental, and climatic factors, leading to time-consuming and imprecise decision-making processes.
Innovation Solution
A computer-aided agricultural management system that determines optimized cultivation strategies by querying and evaluating input factors, specifying optimization goals, and outputting detailed resource plans for crop rotation, using both internal and external data sources, including sensors and agricultural machines, to support farmers in creating and implementing efficient cultivation plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If farmers manually determine cultivation strategies using traditional methods, then they can make decisions based on experience, but the process becomes very time-consuming and imprecise
Solution Approach 1:
The patent replaces manual mechanical decision-making processes with an automated computer-based system that uses algorithms, data structures, and computational methods to determine cultivation strategies. The system automatically queries databases, evaluates input factors, and generates optimized plans without manual intervention, thereby increasing precision while reducing time consumption.
Solution Approach 2:
The cultivation strategy determination system operates autonomously by automatically querying internal and external databases, evaluating relevant factors, and generating optimized cultivation plans without requiring continuous human intervention. The system serves itself by maintaining and updating its own knowledge base and continuously improving its decision-making capabilities through automated processes.
2Adaptability or versatility
If farmers adapt cultivation strategies between growing cycles, then they can respond to changing conditions, but the complexity of crop rotation and resource management makes this difficult
Solution Approach 1:
The patent segments the complex cultivation strategy determination process into distinct modular components: querying internal databases, querying external databases, evaluating input factors, specifying optimization goals, and generating optimized plans. Each module handles a specific aspect of the decision-making process, making the overall complex system manageable and adaptable to changing conditions.
Solution Approach 2:
The cultivation strategy determination system is designed as a universal platform that can handle multiple crop types, various resource management scenarios, and different optimization goals simultaneously. The system's modular architecture allows it to adapt to diverse agricultural contexts and changing conditions without requiring separate specialized systems for each scenario.
3Reliability
If comprehensive data from multiple sources is used to optimize cultivation strategy, then the quality of the optimization improves, but the system complexity increases
Solution Approach 1:
The patent segments the data processing system into distinct functional modules: internal database queries, external database queries, input factor evaluation, optimization goal specification, and plan generation. Each module processes specific types of data independently, reducing the complexity of handling comprehensive multi-source data while maintaining high reliability through systematic data integration.
Data Source
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AI summary
The present invention relates to a method for determining an optimized agricultural cultivation strategy using a computer-aided agricultural management system (1), characterized by the following process steps: - Determining input factors (IF) by querying and/or evaluating information influencing the cultivation strategy and/or crop rotation planning to be determined, which is stored in or transmitted to the management system (1) and to external data sources (eD) independent of the management system (1); - Determining and specifying several optimization goals (OCs) that are specified by the management system (1) by evaluating the input factors (IFs); - Selecting at least one of the specified optimization goals (OCs) using an input-output unit (15);- Optimizing a cultivation strategy and/or crop rotation plan for at least one selected optimization objective (15) by including the specified input factors (IF) as well as resource planning and resource management; and - Outputting the optimized cultivation strategy and/or the optimized crop rotation plan using the input/output unit (15).;