The poultry image-based weight estimation system uses deep learning technology to measure the weight of poultry, identify the sex of the poultry, and track their movements. Photos are taken by the device to locate the poultry and extract parameters. The system then integrates the data for learning and weight estimation. Finally, through computational analysis, the weight of the poultry in the image is determined. Compared to traditional measurement methods, the image-based weight estimation system has almost zero impact on the poultry, saves time and costs associated with the sampling process, and allows for the timely, convenient, and efficient acquisition of data across the entire farm, facilitating precision farming.
The image-based weight estimation system is suitable for ordinary chicks, ducklings, and turkeys. It is currently available for sale in China and Southeast Asia.
Main Technical Features
1. High Precision: Accuracy greater than 96%, with 24-hour weight prediction.
2. Non-contact: The intelligent integrated system is deployed within the farm, providing weight estimates without any contact and without causing stress to the poultry.
3. Information Management: Information throughout the entire farming process is digitized, helping users improve farming efficiency and precisely control the weight at market time.