IoT based water saving technique for Green Farming

A decision Support System based on the combination of micro controllers and ADC and ANN Algorithm is proposed to support the irrigation management in agriculture. The farmers experience and the irrigation best practices are modeled through Artificial Intelligence and Neural Network Algorithm and the outputs of numerical soil and crop models are used to provide a context-aware and optimized irrigation schedule. The suggested actions are devoted to reduce the waste of water and to maximize the crop yield according to the weather conditions and the real water needs. The proposed methodology is embedded in the network gateway making the system a truly smart and autonomous wireless decision support system. Nurjaha Bagwan | Pradnya Kushire | Manasi Deshpande | Priyanka Singh | Prof. Shyam Gupta"IoT based water saving technique for Green Farming" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14435.pdf http://www.ijtsrd.com/engineering/computer-engineering/14435/iot-based-water-saving-technique-for-green-farming/nurjaha-bagwan