Rice is a staple food crop that feeds a significant portionof 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 smartagriculture applications that can enhance rice cultivation practices. The review discusses the use of precision farming techniques, such as GPS-guided tractorsand drones for site-specific management of inputs like fertilizers andpesticides. It also examines how sensor networks and Internet of Things (IoT) devices can monitor environmental conditions, soil fertility, and plant health to enabledata-driven decision-making. Smart irrigation systems leveraging soil moisturesensors 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 taskslike transplanting, weeding, andharvesting. It also discusses the potential of machine learning and predictive analytics to improve crop yield forecasting, pes and disease management, and supply chainlogistics. 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 upthese solutions and ensuring their accessibility to smallholder farmers. Thepaper concludes by outlining future research directions and policy considerations to further advance smartagriculture in the rice cultivation sector.
Gürdil et al. (Thu,) studied this question.
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