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Abstract

This paper presents the design and implementation of an IoT-based Automated Tomato Watering System, which aims to optimize tomato cultivation through efficient water management. The IoT-based Automated Tomato Watering System addresses the challenge of manual irrigation, which can lead to over- or under-watering of the crops, affecting their growth and productivity. By continuously measuring soil moisture levels, humidity, and temperature, the system intelligently determines the optimal watering schedule for the tomatoes. The system integrates soil moisture, humidity, and temperature sensors to collect real-time data from the farmland. These sensors are connected to the Blynk IoT application, a Telegram bot, and SMS notifications platforms facilitated by a GSM module. The collected data are transmitted to these platforms, allowing farmers to remotely monitor and control the watering process. The Blynk IoT application provides an intuitive interface for users to visualize and analyze the sensor data, enabling them to make informed decisions. Additionally, the Telegram bot and SMS notifications serve as real-time alerts, keeping farmers informed about critical changes in the farmland's conditions. Performance testing showed the system effectively detected low soil moisture and initiated watering, maintaining optimal levels in 60% of observations. It reduced manual interventions, promptly addressing low moisture instances. Temperature ranged from 29°C to 33°C and humidity from 52% to 73%, providing a stable environment. The system achieved a 30% reduction in water usage and a 25% improvement in crop yield compared to traditional methods. Through the implementation of this system, farmers can remotely manage irrigation processes, leading to significant improvements in water usage efficiency, crop yield, and overall farm productivity. The integration of multiple communication channels ensures that farmers can receive essential updates promptly, enhancing the system's reliability and usability

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