Published Paper Details:

Green IoT solutions for intelligent farming using NodeMCU with IoT technology aims to demonstrate the transformative potential of IoT-based System for Monitoring Smart Agriculture's Automated Irrigation practices, elevating the efficiency and productivity of agricultural management. IoT sensors can be used to collect environmental and machine metrics, enabling farmers to make informed decisions and improve every aspect of their work, from livestock to crop farming. The use of Green IOT solutions for intelligent farming will give farmers better control over the process of raising livestock and growing crops, making it more predictable and improving its efficiency. This Project is used to build a Smart Farming System using IoT technologies. The objective of this project is to offer assistance to farmers in getting live data such as temperature, humidity, soil moisture, soil temperature for efficient environment monitoring which will enable them to increase their overall yield and quality of products. The system is powered by NodeMCU and consists of a DHT11 sensor, Moisture sensor, DS18B20 Sensor Probe, LDR, Water Pump, and 12V led strip. When the IoT-based agriculture monitoring system starts, it checks the Soil moisture, temperature, humidity, and soil temperature. It then sends this data to the IoT cloud for live monitoring. If the soil moisture goes below a certain level, it automatically starts the water pump. It also generates Weather forecast details in the cloud Interface. The IOT cloud used for live monitoring the data is Adafruit IO. Adafruit IO is a cloud service that allows you to stream, log, and interact with your data from any device. Adafruit IO is built from the ground up to be easy to use, and it provides a powerful API that is useful for assistance. IoT solutions in agriculture have tremendous potential to improve nearly every facet of farming. By using IoT sensors to collect environmental and machine metrics, farmers can make informed decisions and improve just about every aspect of their work - from livestock to crop farming.