Milk Production Prediction Model with LSTM

https://doi.org/10.65136/jati.v6i1.192
Long short-term memory (LSTM) milk production prediction time series data deep learning activation function

Authors

  • Choo Tze Yuet School of computing Asia Pacific University of Technology and Innovation (APU) Kuala Lumpur, Malaysia
  • Heng Yuen Zi School of computing Asia Pacific University of Technology and Innovation (APU) Kuala Lumpur, Malaysia
  • Khaw Zhi Pei School of computing Asia Pacific University of Technology and Innovation (APU) Kuala Lumpur, Malaysia
  • Sarveashwaran A/L Pathmanathan School of computing Asia Pacific University of Technology and Innovation (APU) Kuala Lumpur, Malaysia
  • Zailan Arabee Abdul Salam
    zailan@apu.edu.my
    School of computing Asia Pacific University of Technology and Innovation (APU) Kuala Lumpur, Malaysia
Vol. 6 No. 4 (2022)
Original Research
January 27, 2026

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The quality of milk provided to household livelihood is highly dependent on the quality of raw milk from the milk production. It is crucial to control the quality of raw milk to maintain the food security and nutritious value for household livelihood. This paper proposes a milk production prediction model by using Long short-term memory (LSTM) techniques.