# Industry 4.0 towards Forestry 4.0: Fire Detection Use Case +
## 3 Industry 4.0 towards Forestry 4.0
IoFT is based on big data gathering and exchange, real-time connection, and assembly of technologies. Implementation of communication among the distributed smart devices in the forest environment is the aim of the Internet of Forest Things, enabling the industry 4.0 implementation standard. Therefore, communication for wide range requires device-to-device, robot-to-robot, vehicle to vehicle, vehicle and robot to infrastructure things, human to devices and machine, interconnected things among heterogeneous devices, and cellular to operations via Internet network [50; 51]. The focus of the IoFT is on keeping connectivity links among all forest components (robots, smart devices, machines, vehicles, devices, operations, cellulars, etc.) in large forest areas. The authors of [39] discussed the smart devices and connectivity for digital Forestry 4.0 and monitoring applications considering sustainability. The Internet of Forest Things is the key enabling to exchange real-time information between Forestry 4.0 operations componentsand decision centre and industry 4.0. Furthermore, applying the IoFT can monitor forest environment impacts in real-time with intelligent platforms. The authors of [50] showed many benefits of using the IoFT to improve Industry 4.0 via low data rate, transportation of high capacity, low power consumption and efficient gathering data. Moreover, Internet of trees is used to monitor and early fires detection (https://[[https://electronics360.globalspec.com/article/11399/internet-of-trees-early-detection-of-forest-fires/](https://electronics360.globalspec.com/article/11399/internet-of-trees-early-detection-of-forest-fires/)]([https://electronics360.globalspec.com/article/11399/internet-of-trees-early-detection-of-forest-fires/](https://electronics360.globalspec.com/article/11399/internet-of-trees-early-detection-of-forest-fires/))), and fight climate change ([[https://www.euronews.com/living/2020/07/29/internet-of-things-technology-is-being-used-to-help-trees-fight-climate-change](https://www.euronews.com/living/2020/07/29/internet-of-things-technology-is-being-used-to-help-trees-fight-climate-change)]([https://www.euronews.com/living/2020/07/29/internet-of-things-technology-is-being-used-to-help-trees-fight-climate-change](https://www.euronews.com/living/2020/07/29/internet-of-things-technology-is-being-used-to-help-trees-fight-climate-change))). Forestry 4.0 concept, four research themes have been defined which, through their distinct functions; the real environment, IoFT, the next-generation fibre supply chain, data analytics [11]; as shown in Figure 3. For the real environment, the forest supply chains, accurate information is needed on the amount and quality of fibre available, the physical environment in which operations will need to be deployed and the transformational outcomes of the various phases of harvesting systems. In regards to forestry data-related technologies, data are collected through remote sensing, satellites, drones or aircraft, imagery and LiDAR 3D cloud points, infrared cameras, high-resolution camera, etc. For the Internet of Forest, the forestry industries face the most significant challenge regarding communicating in remote areas with a high cost of satellite communication. Therefore, the Internet of Forest which refers to various machines' connectivity, is used as a collaborative system based on real-time communication between machinery, infrastructures and digital devices to control operations, even remotely. For the next-generation fibre supply chain theme, the advanced technologies will be required in harvesting systems to truly enable full Forestry 4.0 functionalities around connectivity, automation, and agility to upstream and downstream changes in the supply chain. For automation, the production chain must be updated using the latest technological developments, such as sensors, augmented reality devices, more autonomous intelligent transportation systems (self-driving vehicles).