Design & Development of IoT Based Seed Dryer

Abstract

This research paper presents the design and implementation of an Internet of Things (IoT) enabled seed dryer system aimed at enhancing the efficiency of seed drying processes for agricultural applications. The proposed system integrates a Raspberry Pi Pico-W microcontroller with DHT-11 and LM-35 sensors to monitor environmental conditions crucial for effective seed drying. The utilization of electricity to power the blower and heater facilitates controlled airflow and temperature regulation within the dryer chamber, ensuring optimal conditions for moisture removal from the seeds. Key components of the system include the Raspberry Pi Pico-W microcontroller, which serves as the central processing unit, orchestrating sensor data acquisition, analysis, and control of the drying process. The DHT-11 sensor enables real-time monitoring of ambient temperature and humidity levels, while the LM-35 sensor provides accurate temperature readings within the dryer chamber. Leveraging this sensor data, the system dynamically adjusts the blower and heater settings to maintain optimal drying conditions, thereby preventing overdrying or under-drying of the seeds. The IoT capabilities of the system enable remote monitoring and control via web interfaces or mobile applications, allowing farmers to conveniently oversee the drying process from anywhere with internet connectivity. Furthermore, the system is designed to be cost-effective and energy-efficient, making it suitable for deployment in agricultural settings with limited resources. Experimental results demonstrate the effectiveness of the proposed IoT-based seed dryer in efficiently removing moisture from seeds, thereby preserving their quality and viability for subsequent sowing seasons. The integration of modern IoT technologies with traditional seed drying techniques holds significant potential for enhancing agricultural productivity and sustainability in resource-constrained environments. Users can access real time data of temperature and humidity of seeds on the website developed with HTML, CSS, JavaScript.