Irrigating the crop is one of the greatest challenges in agriculture. This irrigation process consumes significant amount of time, when a farmer has to irrigate multiple agriculture fields across different geographical areas. Therefore, we propose a model for the smart automated irrigation system. Initially, the environmental data such as soil moisture level, humidity and temperature have been acquired from the different sensor nodes placed across the agricultural field. Then, the microcontroller estimates the soil temperature and moisture level from the acquired data and start the irrigation process accordingly. When the irrigation process is over, the physical parameters such as humidity, temperature and volume of water irrigated can be uploaded to the cloud server. Later, the user can access the cloud-server for viewing the status of the irrigation system. This system will definitely help the farmers to effectively irrigate the agricultural field.
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