Research Information System
Jurnal online Pertanian Tropik, vol.11, no.2, pp.9-21, 2024 (Peer-Reviewed Journal)
Rice is a staple food crop that feeds a significant portion
of the world's population. Ensuring sustainable
and efficient rice
production is crucial for global
food security. In recent
years, the integration
of smart agriculture
technologies has shown promise
in improving various
aspects of rice
cultivation. This paper provides an overview of the key smart
agriculture applications that can enhance rice
cultivation practices. The review
discusses the use
of precision farming techniques, such as GPS-guided tractors
and drones for site-specific management of inputs like fertilizers and
pesticides. It also examines how sensor networks and Internet of Things (IoT)
devices can monitor
environmental conditions, soil fertility, and plant health to enable
data-driven decision-making. Smart irrigation systems leveraging soil moisture
sensors and weather forecasts are highlighted as a means to
optimize water usage.
Furthermore, the paper explores
the role of automation
and robotics in
automating labor-intensive tasks
like transplanting, weeding, and
harvesting. It also discusses the potential of machine learning and predictive analytics
to improve crop
yield forecasting, pes and disease management, and supply chain
logistics. The adoption of these smart agriculture technologies in
rice farming has
demonstrated improvements in
productivity, resource
efficiency, and environmental sustainability. However, challenges remain in scaling up
these solutions and ensuring their accessibility to smallholder farmers. The
paper concludes by outlining future
research directions and policy considerations to further advance smart
agriculture in the rice cultivation sector.