FOREST FIRE DETECTION SYSTEM BASED ON WSN WITH ANN APPROACH

A forest fire is a serious risk to forest assets and human life. In this paper, we propose a forest fire detection framework that has an artificial neural network calculation actualized in a wireless sensor network (WSN). The proposed detection framework mitigates the risk of forest fires by furnish precise fire caution with low upkeep cost. The exactness is expanded by the novel multi criteria detection, alluded to as an alert choice relies upon various qualities of a forest fire. The multi-criteria detection is executed by the artificial neural network calculation. In the interim, we have built up a model of the proposed framework comprising of the sun oriented player module, the fire detection module and the UI module.

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