Published Paper Details:

In India, agriculture is the most essential occupation for most Indian families. Water is the most important resource for agriculture. Irrigation is a water supply method, but a lot of water can be wasted. In this regard, we proposed a project called IoT-based intelligent agriculture and weather forecasting system to save water and time. The proposed system uses various sensors such as temperature, humidity and soil moisture sensors to detect different parameters of the soil and automatically irrigate the land by turning the motor on and off based on the soil moisture value. Will be done. These collected parameters and engine status are displayed in the user's Android application. Weather forecasts are attempts by meteorologists to predict weather conditions that are expected to be meteorological conditions at a later date. Based on data analysis humidity, temperature and precipitation can be considered as some of the climatic parameters. In this project, only the temperature and humidity is considered in the experimental analysis. DHT11 sensor which is a temperature/humidity sensor is used to collect data for the same. The temperature and humidity analysis of a particular region can be done by this sensor.