Networked Agricultural Device Management for Mastitis Detection
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Solution Overview
Problem
Current agricultural device management systems operate in isolation, lacking the ability to incorporate external information and aggregate data effectively, which hampers accurate and early detection of clinical mastitis in dairy animals, leading to milk contamination and increased treatment costs.
Innovation Solution
Connecting agricultural devices to a network for data collection and sharing operational data with other entities, using mastitis detection parameters like electrical conductivity, milk color, and dead milk time to define benchmarks and adjust settings based on aggregated data from multiple sources, ensuring improved detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If agricultural devices are managed in isolation, then device complexity is reduced, but detection accuracy and early detection capability deteriorate
Solution Approach 1:
The patent merges multiple isolated agricultural devices into a networked system that shares operational data. By combining data from multiple devices, the system achieves improved detection accuracy through aggregated information while maintaining individual device functionality. The network connection enables data exchange between devices without requiring complex integration of all device components.
Solution Approach 2:
The patent introduces a network as an intermediary between agricultural devices. This network mediator enables data collection and sharing without requiring direct complex interactions between devices. The network acts as a central communication channel that facilitates information exchange, improving detection capabilities while keeping individual devices relatively simple.
2Reliability
If external information is not taken into account, then device complexity is minimized, but detection reliability deteriorates
Solution Approach 1:
The patent combines operational data from multiple agricultural devices into a centralized system. By merging data from various sources, the system achieves more reliable detection through aggregated information patterns. This data combination enables the system to distinguish true mastitis cases from false positives more effectively, improving detection reliability.
Solution Approach 2:
The patent creates a universal data collection and sharing system that can handle multiple types of operational data from different devices. This multi-functional approach allows the system to process various data formats and sources uniformly, improving reliability without requiring device-specific complex processing for each data type.
3Measurement precision
If data from multiple sources is aggregated, then detection accuracy is improved, but information processing complexity increases
Solution Approach 1:
The patent segments the data processing task by collecting and storing operational data in a centralized database rather than processing it immediately at each device. This segmentation allows for simplified individual device processing while enabling complex aggregation and analysis at the data storage level, improving detection accuracy without overloading individual devices.
Solution Approach 2:
The patent implements feedback mechanisms where aggregated data from multiple sources is used to refine detection algorithms and improve future detections. The system learns from historical data patterns and adjusts its detection criteria, improving accuracy over time while keeping individual processing steps relatively simple through iterative optimization.
Data Source
AI summary
A system and method for managing an agricultural device, including connecting the agricultural device to a network, collecting operational data relating to the agricultural device, granting an access right in respect of the collected operational data to an entity connected to the network, receiving data from the entity in response to the access right, and managing the agricultural device on the basis of the collected operational data and the data from the entity. The method may be implemented for managing multiple agricultural devices, and may be implemented in a computer readable medium. In one embodiment, the operational data relates to clinical mastitis detection.