Published Paper Details:

Agriculture is a rapidly growing sector worldwide due to the increasing population. One of the main challenges in agriculture is improving farming efficiency and quality without constant physical monitoring to meet the rising food demand. Additionally, climate conditions pose significant challenges to the agricultural industry. The aim of this research paper is to propose a smart farming model based on the Internet of Things (IoT) using clustering techniques to address adverse conditions. In this model, various sensors such as soil moisture, temperature, rain detection, and humidity, water level sensors are utilized for different purposes. The collected data will be stored in the cloud and processed automatically. Smart agriculture can be adopted through crop control, data collection, and automated analysis. The purpose of this paper is to demonstrate how IoT can be implemented in monitoring humidity, soil conditions, temperature, water supply levels, and climate conditions. The proposed IoT-based Smart Farming System integrates different sensors and a Wi-Fi module to produce live data feeds that can be accessed online. Agriculture is very important for the growth of any country. However, even in today's technology-driven world, most farmers still use old-fashioned, manual methods of farming. To reduce the need for too much physical work and constant checking, this study introduces an automatic farming system using the Internet of Things (IoT).This system uses sensors and a small computer (like a Raspberry Pi) to monitor and control basic farming tasks such as: Watering plants, Turning lights on or off in greenhouses, Alerting farmers about important issues. The system also sends important information--like water levels, temperature, and humidity--to a central server and directly to farmers. This helps farmers keep track of their farms more easily and can also be useful for further research in agriculture. If many farms use this system, the collected data can help improve farming methods for everyone.