Mechanized Rice Cultivation Through Smart Farming UsingArtificial Intelligence Basis of Rice Farmers in Bongabong, OrientalMindoro

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 selfadministered 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