Precision Livestock Farming Initiative

Faculty of Public Health , Chalermphrakiat Sakon Nakhon Province Campus
Cover Image
Details

This project applied IoT and AI to livestock farming, with sensors tracking cattle and pig health, feeding, and movement. Data analysis enabled real-time alerts and optimized feed and care strategies.

Environmental monitoring of barns (temperature, humidity, ammonia) reduced stress, mortality, and resource waste.

In 2024, beef yields rose 22% and pig yields 18%, while GHG emissions dropped 1,050 tCO2e. The project aligns with SDG 2, SDG 12, and SDG 13, fulfilling 2024 indicators 34 and 96.

แท็กที่เกี่ยวข้อง:
Livestock PrecisionAg KU SDG2 SDG12 SDG13
Summary Information
  • Project Type: Research
  • Year of Data (A.D.): 2024
  • Start Date: 15/02/2024
  • End Date: 10/12/2024
  • Participants: 880
  • Budget (THB): 570,000.00 THB
  • จำนวนผู้เข้าชม: 4
Related Indicators
SDG 2Zero Hunger

2.2.1 - Campus food waste tracking

Share this Project