Saswot Subedi

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Projects Involved

  • Project 2: IOT Based Soil Moisture Sensor:
  • An IoT-based soil moisture sensor is an innovative system designed by our group to monitor soil moisture levels in real-time, making it a valuable tool for agricultural and environmental applications. The sensor measures the amount of water present in the soil, which is crucial for maintaining optimal growing conditions for crops and plants. By leveraging Internet of Things (IoT) technology, this system enables remote monitoring and automation, providing farmers and gardeners with real-time data on soil moisture, which can be accessed from smartphones, computers, or other connected devices. The soil moisture sensor typically consists of two probes that are inserted into the soil. These probes measure the volumetric water content by detecting the resistance between them; when the soil is dry, the resistance is higher, and when the soil is wet, the resistance decreases. The data collected by the sensor is then transmitted to a cloud-based server via an IoT-enabled microcontroller, such as an Arduino, Raspberry Pi, or ESP8266 module. From there, users can access and analyze the moisture levels through a web or mobile application. One of the key benefits of this system is its ability to automate irrigation based on real-time data. By setting thresholds for soil moisture, the system can automatically trigger irrigation when the soil becomes too dry and turn it off once the desired moisture level is reached. This ensures that plants receive the right amount of water at the right time, reducing water wastage and optimizing plant growth. Additionally, the system can send alerts to users if the soil moisture levels fall below or rise above certain thresholds, allowing for timely interventions. The IoT-based soil moisture sensor also promotes sustainable farming practices by enabling precision agriculture. It helps farmers conserve water, reduce the use of fertilizers, and minimize crop damage caused by overwatering or underwatering. Moreover, the data collected over time can provide valuable insights into soil health and plant water requirements, helping farmers make more informed decisions about irrigation and crop management. Overall, this system represents a smart, efficient, and eco-friendly approach to modern agriculture, enhancing productivity while conserving resources.