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A machine learning approach to simulate cattle growth at pasture using remotely collected walk-over weights

Author

Listed:
  • Awasthi, Tek Raj
  • Morshed, Ahsan
  • Swain, Dave L.

Abstract

The growing interest in the use and implementation of remote and automated technologies, such as walk-over (WO) weighing, has made the availability of a large volume of data. However, animal behaviour, sensitivity and repeatability of WO weighing scales and animal's physiological state could impact the accuracy of recorded weights. Therefore, WO weight data needs through processing before it can be utilized effectively for developing livestock management tools.

Suggested Citation

  • Awasthi, Tek Raj & Morshed, Ahsan & Swain, Dave L., 2025. "A machine learning approach to simulate cattle growth at pasture using remotely collected walk-over weights," Agricultural Systems, Elsevier, vol. 226(C).
    • Handle: RePEc:eee:agisys:v:226:y:2025:i:c:s0308521x25000721
    DOI: 10.1016/j.agsy.2025.104332
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