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Development of an Enhanced Hybrid Intelligent Machine Learning Model for Maize Leaf Disease Detection and Classification

Authors

Olusola Bamidele Ayoade, Mumini Oyetunji Raji, Aminat Adejoke Akindele, Kemi Jemilat Yusuf-Mashopa, Muinat Folake Abdulrauff, Ibrahim Adebayo Raji, Fatima Bolanle Musah, Abiodun Timothy Adegbiji and Oluwafemi Micheal Amuda, Emmanuel Alayande University of Education, Nigeria

Abstract

In the era of artificial intelligence (AI), there is an urgent societal demand for digital-intelligent talents. Innovative curriculum design serves as a vital link in cultivating such talents. This paper begins by laying out the theoretical basis for rethinking curriculum design in the context of digital-intelligent talent cultivation. It then discusses the concepts, ideas, and routes of hybrid learning innovative design targeting key teaching problems. Taking the course Algorithm Design and Analysis as an example, this study explores the implementation approaches of hybrid learning innovation from five aspects: content reconstruction, environment construction, process reshaping, method innovation, and evaluation reform. Finally, it demonstrates the practical application and effectiveness of hybrid learning innovation.

Keywords

Digital-Intelligent Talents; Talent Cultivation; Innovative Design; Innovative Implementation; Innovative Practice.