An Application Framework for Forest Fire and Haze Detection with Data Acquisition Using Unmanned Aerial Vehicle

An application framework is presented in this paper to mitigate the problems that cause the forest area to be harmed. Along with this, a sensor based data collection module is presented that will be enhancing monitoring facility in places in the forest or plants where usually human does not go regularly. The are many use cases of the proposed solutions, for example, it targets to detect the haze or forest fire in early stage so that it can't wide spread and cause severe damage to the forest itself and surrounded locality, object detection and intruder identification, raw imagery collection for finding the appropriate trees to be harvested in Timber industry. These functionalities reside on a remote server. This ongoing research considers supervised machine learning and big data implementation along with the custom system with unmanned aerial vehicles to be the career of designed system. We have proposed an application framework particularly to be cheap and easy to handle by non-technical persons and that it does not require large software system knowledge like Pix4D or DroneDeploy. This system will be useful for not only regular operations but also for research and development as well specially in the forestry and palm oil plantation surveillance, and sustainable timber industry that specially needs carefully collected imageries and data from objects inside the dense forests.