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p-Index From 2021 - 2026
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All Journal International Journal of Integrative Research (IJIR)
Nicko A. Magnaye
Mindoro State University
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions

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Mechanized Rice Cultivation Through Smart Farming Using Artificial Intelligence Basis of Rice Farmers in Bongabong, Oriental Mindoro Saguid John Rex; Valdez Kaycee; Magbanua Jonnel; Villaluna Vinz Philip; Nicko A. Magnaye; Jesselle P. Atienza
International Journal of Integrative Research Vol. 1 No. 4 (2023): April 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (404.01 KB) | DOI: 10.59890/ijir.v1i4.52

Abstract

Mechanized rice cultivation through smart farming using artificial intelligence (AI) has gained considerable interest as a means to improve agricultural practices and increase productivity. This study focuses on the application of smart farming technology in Bongabong, Oriental Mindoro, Philippines, with the aim of optimizing rice production. Data were collected through self-administered questionnaires, and statistical analyses using descriptive and inferential statistics were conducted. The findings indicate a gender imbalance among farmers utilizing smart farming technologies, with a higher representation of males. The study identified challenges in terms of limited trained operators, inadequate infrastructure and support facilities, high operational costs, and market limitations. The study also highlighted the environmental implications of smart farming technology, such as improved water management, reduced chemical inputs, and enhanced soil health. Overall, the study underscores the importance of education, training, and collaborative efforts to promote the adoption of smart farming technology in rice cultivation. By leveraging AI and innovative farming techniques, rice farmers in Bongabong, Oriental Mindoro can enhance productivity, sustainability, and economic outcomes.
Artificial Intelligence (AI) on Learning Process Shaun Kim Sopera; John Stephen Alaban; Zaira Briones; Nicko A. Magnaye
International Journal of Integrative Research Vol. 1 No. 9 (2023): September 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijir.v1i9.244

Abstract

Artificial intelligence (AI) is a helpful technology. By providing college students with more individualized and productive learning environments, they support education. This research examines how artificial intelligence (AI) works in education and enhances teaching and learning results for Mindoro State University students and teachers. The study will survey students and instructors to gauge their perspectives on AI, assess its benefits and obstacles in education, and propose strategies for successfully implementing AI into teaching and learning techniques. The poll will ask students about their understanding of AI and their experiences using AI-powered learning tools. According to the results of this study, students and teachers at the University have a strong belief and a positive outlook on the potential of AI to significantly improve the learning journey and outcomes for both students and instructors, as evidenced by the weighted mean rating of 4.37 for all categories combined. Overall, respondents strongly agree that artificial intelligence has the potential to considerably improve student and instructor learning and teaching outcomes at the University, as indicated by the average mean score of 4.23, which is characterized as "strongly agree." The study's findings will provide educators and policymakers with critical insights into the proper and successful use of artificial intelligence (AI) to improve student learning outcomes.
Co-Authors Jesselle P. Atienza John Stephen Alaban Magbanua Jonnel Saguid John Rex Shaun Kim Sopera Valdez Kaycee Villaluna Vinz Philip Zaira Briones