IoTBased Smart Agriculture Monitoring and Manual Control System

Modern agriculture is increasingly adopting smart technologies to improve productivity, reduce manual labour, and optimize resource utilization. Continuous monitoring of environmental conditions such as soil moisture, temperature, and humidity plays a crucial role in ensuring healthy crop growth. This paper presents the design and implementation of an IoT-based smart agriculture monitoring and manual control system using an Arduino Uno microcontroller. The proposed system integrates a soil moisture sensor to measure soil water content and a DHT11 sensor to monitor ambient temperature and humidity conditions in the agricultural field. The sensor data are processed by the Arduino Uno and displayed in real time on a 16×2 LCD display, enabling farmers to easily observe and analyze field conditions. In addition to environmental monitoring, the system incorporates an HC-05 Bluetooth module to provide wireless communication between the system and a mobile device. This allows farmers to manually control agricultural operations remotely through Bluetooth commands. The system is designed not only for monitoring but also for performing basic farming activities. It includes motor-driven mechanisms that enable seed sowing and land tilling operations, which can be controlled using the mobile interface. This reduces manual effort and enhances operational efficiency in small-scale farming environments. Although the Arduino Uno does not have built-in internet connectivity, the system is developed based on IoT principles and supports wireless communication. Furthermore, it can be easily upgraded to a fully IoT-enabled system by integrating Wi-Fi modules such as ESP8266 or ESP32 for cloud-based monitoring and control. Experimental results demonstrate that the proposed system effectively monitors soil and environmental parameters while enabling reliable wireless control of agricultural mechanisms. The system offers advantages such as low cost, ease of implementation, reduced labour requirement, and improved farming efficiency. Therefore, it provides a practical and scalable solution for modern smart agriculture applications, especially for small and medium-scale farmers.