PREDICTION AND PREVENTION METHODS FOR PROTECTION OF SESACHALAM FOREST LOCATED IN CHITTOOR AND KADAPA DISTRICTS, AP, INDIA

Abstract

The abstract starts with philosophical point that is “necessity is the mother of invention”. The authors have the belief on those words. The view of authors, the research means that clear understanding working mechanism of nature and use of those phenomena for best simpler life of human beings. According to physicist Richard P Feynman said to the students that, “I am not teaching you pupil to get pass in end exams or get job in defence research or any industry, I am trying to make you pupil to understand the nature., which helps us to create miracle things who ever been seenbefore”. These philosophy is enough to continue authors research. The paper is mainly inspired by natural problems which is identified at sasachalam forest which is located and spreads over two districts namelychittoor and Kadapa, Andra Pradesh. The main problem we found that is; the forest has highdensity of sandal wood trees. The world knows that, the sandal wood is very precious in everyday life of human beings, like medicine, house equipment’s and it finds so many interesting potential applications in many fields. This makes, these trees have greater role and have very richness in market. This makes in society the thought of smuggling that the persons cutthe trees illegally and export to another country to earn money. The forest department is unable to catch them in all situations.The government of AP believes that most of the income to government from them (sandal wood trees). And one more problem was identified by authors that read from newspapers, smugglers were killed the police officers in stopping of cutting sandal trees. These are two outstanding problems what the authors have in mind. Here the authors build the interesting system to prevent the cutting of trees and also warns the remoting station as well. Sometimes natural disasters may also collapse the trees like forest fires and high density rain. This information is also knowing to officers because they have to collect trees to market.Here the problem is modeled into three categories 1) Someone may cut the trees. 2) Due to rain the trees may fall down 3) Forest fires. In first problem someone may cuts trees, in that situation, the proposed method of fining the position detection continuously and sends message to remote station if tree is safe it sends message “Normal Positions”. If anybody cuts the tree, the systems wait until reaching maximum slope value and beyond that it sends message immediately to remote arealike” Tree is fallen” and officers takes an action depending, which tree is cut. And second case is disaster, if trees fall down we need to collect those trees for marketing, this work is helpful in this situations also. And final one, the authors suggest that fire detection using sensors and to prevent fire we use more traditional natural method to stop. This paper is very helpful to trace out smugglers, enhancing monitoring capability, reduction in man power for protection and finally saves government income. The main plane is to detect tree position based on slop of tree and sends feedback to remote site for to take necessary actions. The main motive is serve technology to real time world problems to solve and makes the world much simpler in all aspects.