IOT Application For Control and Monitoring of Strawberry Cultivation

Abstract

Objective: The objective of this study is to investigate and develop an automated strawberry cultivation system using the Internet of Things (IoT) to optimize the cultivation process, monitor environmental conditions, and ensure greater control over the factors that influence the growth, production, and quality of strawberries. Theoretical Framework: The integration of the Internet of Things and other hardware and software technologies with agriculture stands out, specifically applied to the sustainable cultivation of strawberries. Method: The methodology adopted for this research comprises a quantitative approach with a deductive method, appropriately using the Internet of Things and other technologies for sustainable development related to strawberry cultivation. Data collection was carried out by observing the system's behavior and the values ​​of the monitored values obtained from the sensors, in addition to feedback from participating farmers. Results and Discussion: The results revealed the possibility of simple and effective monitoring and remote control of strawberry cultivation using the Internet of Things and other low-cost technologies, thus maximizing production and reducing maintenance costs. Furthermore, the system allows you to automatically adjust the irrigation process based on real-time readings of soil moisture, lighting, and temperature, ensuring full plant development. Research Implications: The practical and theoretical implications of this research are discussed, providing information on practices in the strawberry cultivation field, benefiting from the appropriate use of technology. Farmers can save time and resources when handling the plantation, making its development sustainable, reducing costs, and increasing productivity, in addition to the possibility of applying it to different crops. Originality/Value: This study contributes to the literature by presenting a technological framework applied in the strawberry planting management process, expanding the understanding of the integration of IoT in agriculture, highlighting the relevance of the monitoring process and mainly the remote control of the cultivation process, significantly impacting in production costs and crop quality.