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Necessity of Neo-Symbolic Artificial Intelligence in food and agricultural sector for increased efficiency, accuracy and reliability : 푸드와 농업분야의 투명성, 정확성 그리고 신뢰성을 높이기 위한 네오-심볼릭 AI의 필요성에 대한 연구
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- Authors
- Advisor
- 이기원
- Issue Date
- 2023
- Publisher
- 서울대학교 대학원
- Keywords
- AI ; Canonical ; Machine Learning ; Foodtech ; Transparency ; Accuracy
- Description
- 학위논문(석사) -- 서울대학교대학원 : 농업생명과학대학 푸드테크학과, 2023. 8. 이기원.
- Abstract
- This explorative study delves into the dynamic and rapidly evolving market of AI driven Business Process Automation (AI -BPA) and Expert Advisory Systems (EAS) in food and agricultural sector through implementation of technology and software solutions to streamline and automate various repetitive and time-consuming tasks within an organization using a new approach known as the Neo-Symbolic AI. With the relentless pursuit of efficiency, cost reduction, and improved productivity, businesses across industries are increasingly turning to AI driven BPA solutions (AI -BPA) and Expert Advisory Systems (EAS).
- Language
- eng
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