Arduino-Based Monitoring of Microclimatic Variables for Precision Agriculture in Sugarcane Cultivation

An Arduino-based monitoring system for precision agriculture in sugarcane production is proposed in the present study, with fields in Uttar Pradesh, India serving as a case study. A precision agriculture-specific monitoring system based on Arduino enables small-scale farmers to maximize crop growth and sustainability. This economically viable solution places emphasis on critical environmental variables such as soil moisture, temperature, and sunlight, delivering up-to-date information that facilitates proactive management. Through water conservation and adaptation to shifting weather patterns, agricultural practitioners enhance the resilience of their crops and establish a foundation for subsequent research that establishes a correlation between climate and the well-being of crops. This project illuminates the profound impact that the Internet of Things (IoT) can have on the agricultural sector, offering the potential for substantially increased productivity and improved environmental sustainability. The organization advocates for technological equity, with the dual objective of facilitating innovation in developing areas and enabling farmers to assume responsibility for a more resilient agricultural future.