DeepQ Based Automated Irrigation Systems Using Deep Belief WSN

Deep learning is the subset of artificial intelligence and it used for effective decision making. Wireless Sensor based automated irrigation system proposed to monitor cultivate crop. Our consists Distributed wireless sensor environment handle moisture soil temperature levels. It process useful minimizing usage resources such as water level, quality soil, fertilizer values controlling whole system. The mobile app smart control designed using deep belief network. This has multiple sensors placed in agricultural field collect data. collected transmitted cloud server applied making decisions. DeepQ residue analysis method analyzing captured Here, we 512 × 3 layers network 10000 trained data 2500 test are taken evaluations. once generated. performance compared with existing results our 94% accuracy factor. Also, low cost energy consumption also suitable all kind fields.