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This study explores the transformative impact of the Internet of Things (IoT) on agriculture, focusing on how IoT sensors enhance agricultural intelligence and yields through precise monitoring of irrigation, temperature, and water conditions. By analyzing a dataset of 149 humidity data points across varying conditions in agricultural fields, alongside pump activity segmented into on and off phases, we have uncovered significant trends demonstrating ambient humidity's nuanced role in irrigation efficiency. The data reveals an increase in overall humidity levels and highlights the critical relationship between humidity levels and the efficiency of irrigation systems. This insight is pivotal for optimizing water usage and ensuring crops receive adequate moisture without the excess associated with over-irrigation. The core of this research lies in demonstrating the capability of IoT devices to provide real-time, accurate monitoring of agricultural environments. Through advanced data visualizations, we illustrate how these technologies empower farmers to make informed decisions, leading to more targeted and effective farming practices. The application of IoT in agriculture extends to automated, data-driven interventions, such as precise spraying and irrigation, tailored to the specific needs of crops as dictated by live environmental data. This investigation showcases the practical application of IoT in enhancing farm sustainability and contributes to the broader discourse on intelligent farming. By integrating IoT sensors into agricultural practices, we can significantly improve crop yields while ensuring sustainable use of resources. Our findings underscore the potential of IoT technologies to revolutionize traditional farming, making intelligent, data-driven agriculture a cornerstone of future global food security strategies.
Vemuri et al. (Fri,) studied this question.