Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , |
|---|---|
| Μορφή: | Recurso digital |
| Γλώσσα: | Αγγλικά |
| Έκδοση: |
Zenodo
2025
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| Διαθέσιμο Online: | https://doi.org/10.5281/zenodo.15480286 |
| Ετικέτες: |
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Πίνακας περιεχομένων:
- <div> <p><em><span>Animal Industry has undergone a revolution through Artificial Intelligence (AI) technologies which now optimizes manufacturing procedures and quality measurement protocols. Research findings demonstrate how AI implements improvements to operational effectiveness alongside greater efficiency along with sustainability accomplishments while ensuring full visibility in the whole food production system. Structured questionnaires were used with 400 stakeholders for collecting research data in an exploratory and descriptive approach toward analysis through t-tests and optimization models and the Technology Acceptance Model (TAM) statistical methods. The research confirms AI plays an enormous role in food production by reducing waste while boosting the amount of harvested crops and generating accurate forecasts. Real-time contaminant detection as well as automated inspection operations allows AI systems to boost quality assurance outcomes and maintain regulatory compliance standards. The evaluation metrics from the industry were applied to AI components in optimization models which led to improved performance outcomes. The study projects AI-based innovations will control future food system development yet both limited technical resources and additional funding challenges slow AI adoption specifically in certain areas. Research evidence shows that AI techniques transform traditional development approaches for establishing a sustainable food industry that depends on these critical capabilities.</span></em></p> </div>