Abstract
The Internet of Things (IoT), an advanced breakthrough in the era of digitalization, allows devices to connect with one another while automating and controlling the process online. Using IoT in agriculture has many advantages for managing and monitoring crops. In this study, an architectural framework that integrates the Internet of Things (IoT) with various measures and techniques is built. These methods and measures are used to monitor temperature, humidity, and soil moisture data. The method offers in-crop sensor data analysis in real time and gives farmers the information they need to monitor soil moisture, temperature, and automated irrigation systems while using less of their time and energy. The experiment’s findings include information on temperature, soil moisture, and humidity as well as a decision-making analysis that involves the farmer. An autonomous irrigation system was constructed using Arduino and multisensory functionality (temperature and moisture sensors). This project seeks to measure temperature and moisture levels using an algorithm based on soil parameters. The actuator (water pump) is turned ON and OFF by the automated pumping system based on information from soil moisture sensors.
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Kaur, A., Bhatt, D.P., Raja, L. (2023). Internet of Things (IOT)-Based Smart Agriculture System Implementation and Current Challenges. In: Kumar, S., Sharma, H., Balachandran, K., Kim, J.H., Bansal, J.C. (eds) Third Congress on Intelligent Systems. CIS 2022. Lecture Notes in Networks and Systems, vol 613. Springer, Singapore. https://doi.org/10.1007/978-981-19-9379-4_12
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