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Increased Cattle Feeding Precision from Automatic Feeding Systems: Considerations on Technology Spread and Farm Level
Elio Romano1, Massimo Brambilla1, Maurizio Cutini1
1Council for Agricultural Research and Economics (CREA), Research Centre for Engineering and Agro-Food Processing, Via Milano 43, 24047 Treviglio, Italy.
Automatic feeding systems (AFSs) enhance farm efficiency and animal welfare while reducing environmental impact. These systems offer precision feeding, increased profitability, and reduced waste, aiding farmers in adapting to climate change challenges.
Area of Science:
- Agricultural Science
- Environmental Science
- Animal Science
Background:
- Farming operations significantly impact climate change and farmer finances.
- Automation in agriculture offers solutions for climate change adaptation and mitigation.
- Automatic feeding systems (AFSs) are a key technology in modern livestock management.
Purpose of the Study:
- To evaluate the benefits and farmer perceptions of Automatic Feeding Systems (AFSs).
- To assess the role of AFSs in reducing environmental impact and improving animal welfare.
- To understand the economic and structural considerations for AFS adoption.
Main Methods:
- Survey of farmers regarding their experiences and perceptions of AFSs.
- Review of studies confirming the benefits of AFS technology.
- Analysis of factors influencing farmer adoption of digital farming technologies.
Main Results:
- Farmers value AFSs for ease of use, improved animal welfare, increased production, and profitability.
- AFSs contribute to reduced feed waste and lower environmental impact due to precise, electrically powered feeding.
- Studies confirm enhanced animal welfare through reduced feed bunk competition and constant feed availability.
Conclusions:
- AFSs provide significant environmental and economic benefits in livestock farming.
- Holistic planning is crucial for integrating AFSs into farm infrastructure.
- Public subsidies and integration with monitoring sensors can accelerate the adoption of advanced digital farming technologies.
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