Smart Agriculture using Cloud Computing

Smart agriculture could increase output while preserving resources in the face of rising global food demand and environmental concerns. This project's objective is to develop a smart agriculture system that uses DHT11 sensors, ESP32 microcontrollers, and soil sensors to track important environmental data including temperature, humidity, and soil moisture. Real-Time data collection from the sensors is done by the ESP32 microcontroller, which serves as the central processing unit. While the DHT11 sensor detects temperature and humidity, two critical elements affecting plant growth and health, the soil sensor offers information on soil moisture levels, assisting in effective irrigation management. The ESP32 microcontroller is programmed using Arduino, which permits the sensors to be integrated seamlessly and makes data gathering and processing easier. After being gathered, the data is sent to the cloud-based IoT platform Thing Speak for analysis and visualization. Farmers can remotely obtain important information about the environmental conditions of their crops by utilizing this smart agriculture technology. This makes it possible to take prompt action, make the most use of available resources, and eventually increase agricultural yield and quality.