Current Practices in Animal Tracking
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  • Current Practices in Animal Tracking

    Digi4Live Survey

  • In this survey, Animal Tracking is defined as continuous acquisition and integration of data on animals at the individual or group level over time. It includes

    (i) spatial movement and positioning (e.g., GPS, RFID, UWB),

    (ii) behavior analysis and welfare evaluation (e.g., video-based computer vision, accelerometry, sound analysis)

    (iii) physiological, health, and production indicators (e.g., body temperature, heart rate, disease status, milk yield, weight…).

  • Section A: About you and your organisation

  • 1. Which of the following best describes your primary role?*
  • 2. What species is your technology primarily designed for? (Please select all that apply)*
  • 3. For how many years have you been using or developing livestock tracking technologies?*

  • Section B: Technology profile and application

  • 5. What type of technology is it?*
  • 6. What key indicators does this technology measure? (Please select all that apply)*

  • Section C: Data quality and validation of commercial digital technology

  •
  • 9. How was the technology's performance validated?*
  • Rows

  • Section D: Deployment and Practical Challenges

  • 12. How would you rate the difficulty of the initial installation and setup of the system?*
  • 13. What are the biggest practical challenges you have faced? Please select up to three options that you consider the most challenging.*
  • 14. To what extent has the physical farm environment (e.g., dust, mud, moisture) caused noise or errors in the data?*

  • Section E: Data Management, Sharing, and Security

  • 15. Is the collected data provided at the individual animal level or at the group/herd level?*
  • 16. How easy is it to integrate the data from this technology with other farm management software (e.g., herd management, feed software)?*
  • 17. Who has access to the raw data generated by the system? Note: Access refers to who is allowed to view or use the data. Raw data refers to the original, unprocessed data directly generated by the system (e.g., sensor readings, log files) before any aggregation, cleaning, or transformation.*
  • 18. Are there any conditions that prevent you (or your clients) from sharing data with trusted partners (e.g., breeding associations, researchers, veterinarians, nutritionists…)?*
  • 19. Under what conditions would you be willing to share livestock data generated by your farm/technology? (Please select all that apply)*
  • 20. On a scale of 1 to 5, what is your level of concern about the security and privacy of your farm's data?*

  • Section F: Value, Impact, and Best Practices

  • 21. Overall, to what extent do you believe the technology has provided a positive return on investment (considering time, money, and labour)?*
  • 22. What has been the most positive impact of using this technology? Please select up to three options.*
  • 23. In your opinion, what is the biggest barrier preventing the wider adoption of this type of technology in the livestock industry?*
  • Are you a panellist in the Thematic Expert Panel - Data sharing & Exploitation (TEP-S)?*

  • TEP-S Specific Questions

  • 25. Which of the below is the biggest barrier to effective data sharing based on your experience?*
  • 26. What kind of value, incentives, or support would motivate you to participate in data sharing and help build trust? (select all that apply)*
  • 27. What coordination mechanism can enhance data sharing and integration (interoperability)?*

  • Interested in joining our Thematic Expert Panels?

  • Register HERE!

     
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