Automated Animal Feeding Control Unit for BCS-Based Grouping
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Solution Overview
Problem
Dairy farms face challenges in providing individualized feed to animals based on their unique energy needs, leading to issues like metabolic diseases, fertility disturbances, and inefficient milk production due to incorrect feeding practices, which are time-consuming and costly to manage manually.
Innovation Solution
A control unit and system that automatically identify animals, determine their Body Condition Score (BCS), and adjust feeding groups based on energy content to ensure each animal receives optimal nutrition, using a camera for BCS estimation and a database for lactation cycle reference values, thereby confirming correct feeding group placement and preventing overfeeding or underfeeding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual visual inspection is used to monitor animal BCS and adjust feeding, then feeding accuracy can be maintained, but farmer working time increases significantly
Solution Approach 1:
The patent replaces manual visual inspection with an automated image recognition system using cameras and machine learning algorithms to detect and evaluate animal BCS. The system captures images of animals at feeding stations, automatically determines BCS values, and triggers appropriate feeding responses without farmer intervention, thereby maintaining measurement precision while eliminating time loss.
Solution Approach 2:
The system enables animals to be automatically monitored and fed according to their individual BCS levels without requiring farmer service. The automated detection and feeding adjustment system operates independently, with the farm management system making real-time decisions about feed allocation based on detected BCS values, thus freeing farmers from routine monitoring tasks.
2Reliability
If individualized feed amounts are provided to each animal based on energy needs, then health and productivity improve, but system complexity and time consumption increase
Solution Approach 1:
The patent implements differentiated feeding strategies tailored to each animal's specific BCS and energy requirements. The system provides locally optimized feed amounts to each animal based on its individual condition, rather than uniform feeding. This local quality approach improves health and productivity while the automated system manages the complexity of individualized monitoring and adjustment.
Solution Approach 2:
The system dynamically adjusts feeding parameters (feed amount, energy content) based on detected BCS values and animal characteristics. By automatically changing these parameters according to real-time measurements, the system achieves individualized feeding without manual intervention, managing complexity through algorithmic parameter adjustment rather than complex physical systems.
3Reliability
If continuous BCS monitoring is implemented to prevent metabolic diseases and overfeeding, then animal health improves, but system complexity and operational time increase
Solution Approach 1:
The patent implements continuous BCS monitoring at feeding stations, where animals are automatically detected and evaluated each time they access feed. This continuous monitoring ensures animal health is maintained by preventing metabolic diseases and overfeeding through real-time BCS tracking, while the automated nature of the system eliminates the need for separate daily monitoring routines, thus not increasing operational time.
Data Source
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AI summary
Method (300), control unit (120) and system (400) to group feed animals (100) in a herd comprising different feeding groups (101, 102) based on an estimated energy need, and where each respective feeding group (101, 102) has feed having different energy content. The control unit (120) is configured to: identify an animal (100) in a first feeding group (101); determine BCS (230) of the animal (100); define position (210) in lactation cycle (200) of the animal (100); compare the BCS (230) with reference value (220) corresponding to the position (210); and confirm that the animal (100) is able to assimilate the feed and is kept in the correct feeding group (101) when the determined BCS (230) of the animal (100) is within an interval, defined by the reference value (220) minus a first margin (240) and the reference value (220) in addition to a second margin (250).