An Efficient and Effective Forest Surveillance System to Prevent Malicious Activities using LoRa

Abstract

Smuggling of most valuable trees, like sandalwood in a forest, represents great damage to environment assets. It causes critical financial harm and at last, has a significant obliterating impact on the condition everywhere throughout the world. Fire is yet another reason that destroys the forest. Creatures are losing their natural habitat in this manner causing an absolute lose in nature. This paper proposes an IOT based forest surveillance system which employs the benefits of LoRa technology to detect theft of trees in forest by recognizing the sound produced by certain equipments while cutting the trees. And this paper also proposes the use of gas and temperature sensors to calculate the temperature, humidity, carbon monoxide to predict the forest fire well in advance.PIR sensor is used to find the motion of human beings around the forest and protect the device from the animals. The information is transmitted by the Lora technique. The inserted framework engineering and the equipment/programming plans are explained in detail. The exploration results demonstrate that Lora innovation had a decent transmission impact among forest.