Sensores IOT para pesquisa florestal

Abstract

The biggest challenge for forestry researchers today is to gather information from the field, as in the vast majority of cases the species of planted trees are distant and in regions of dense forests and they have to move in person to each species researched and each information is vital for the studies and understanding of each planted species. This article aims to discuss the measurement of trees in the field and how we can achieve the accuracy of measurement through technology without the need for displacement of research professionals as well as maintaining the continuous study of a tree while it is in the field, in addition to also studying the surrounding environment where the tree is located. For this research we use mobile sensors of Internet of Things, interconnected with LORAWAN technology to send information to a Cloud Server.Such information opens up a great possibility for the field of forestry research, because in addition to opening the possibility of removing information from the field without the presence of a researcher, there is also the possibility of crossing information from the same species planted in different locations or from different species planted in the same place, in addition to a more concrete and secure database for each researcher, avoiding the manual insertion of information by the researcher, in addition to the scalar power of the Cloud where large amounts of information can be stored and crossed in real time . The case study was carried out at a Pulp and Paper company in the state of Paraná, focused on the needs of the researchers. The observant results were quick, bringing the expected gain in mobility and delivering reliable information to researchers, but we were also able to verify the difficulty of transmitting data in large forest areas due to infrastructure in the field, thus limiting the radius of the research.