Abstract: can prove to cause crisis for both species

Abstract:Intrusion of wildlife isproved to be destructive for both human beings and animals. The incompatibilitybetween the human wildlife  is the major causethat leads to crop damage, injuries caused to both human and animals .

In thissystem we have put forth wildlife intrusion monitoring using IoT. The wildlifeare captured by using a camera.A GSM notification along with the alarm isprocessed to the forest officials indicating that an animal has been detectedin the forest borders and is fast approaching the human habitats. The existing systemalso focuses on atmospheric monitoring and therefore it overcomes the drawbacksof existing system. Thus, we have refined a prototype model that allowspersistent detection and monitoring.Keywords:IoT(Internet of things), camera, wildlife monitoring, atmospheric monitoring GSM,alarm. Introduction:                                                                               The rapid increase inhuman population has led to the conversion of forest land into humansettlements.

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Due to this,the wild animals face lack of food and water. However, wildlifeis greatly distressed due to deforestation which forces them to move into humanhabitats. It creates tremendous loss to properties and lives. In Times of Indiait has been reported that over 1300 people died due to tiger elephant attacksin India over the past three years. Thus, humans face serious danger and thetime to regain from the huge loss is imperceptible. Human animal interactioncan prove to cause  crisis  for both species and therefore there is a needfor an intelligence supervision  andperceptive system. Human animal conflict is increased to a higher extent.Anumber of factors include elephant habitat structure,weather,animal life etc.

Forest fire is an important hazard that occurs periodically due to the naturalchanges, human activities and other factors. In the contemporary  years there is a persistent increase in theforest fires that causes damage to crops, wildlife as well as to humans.Therefore, a network based wireless sensor is used for forest fire to achievehigh verdict accuracy for the early detection.         The approach targets on detecting animalsand sending cautionary messages using GSM and alarm. The humidity of the forestis measured and maintained.The main aim of our work is to alert the people inand around the forest borders and to forbid their lives.

In an uncontrolledfield environments like desert, forest or trees it is desirable to developcomputer perception tools instead of performing physical field investigation.These, automated tools helps in many adequate and predictable studies