IoT Controlled UAV for Forest surveillance

Farming and agricultural production account for a substantial part of the global economic system, and most people rely on them for their living. In this perspective, real-time agricultural field monitoring and smart irrigation using modern technologies are now important for effective farming in green homes, smart cities, and rural areas. Water is an essential resource to be conserved using the newest technology. The Internet of Things (IoT) and Industry 4.0 enable smart farming, including using Quadrotor unmanned aerial vehicles (Q-UAV) with computer vision. The IoT-based smart irrigation management systems with real-time sensors and Q-UAVs have contributed to the optimum use of water resources in precision farming. The research presented an intelligent irrigation and field surveillance system using atmospheric and soil data such as temperature, humidity, salinity, wind speed, as well as photographs of the field using UAVs. The parameters mentioned above are available on the smartphone of the farmers using IoT and are hosted without any delay in the Firebase console. In addition to this, a user can control the water pump on various fields via Firebase Cloud Message platform. The intelligence and smartness of the proposed system are implemented with a powerful and low-cost platform Raspberry Pi 4B system on chip computer with Industry 4.0 standard dedicated for IoT, real-time embedded protocol interfacing, and computer vision applications.

2020

Unmanned Aerial Vehicles (UAV)”are becoming more common in our modern world. UAVs are mostly associated with war due to the coverage of their use in the recent wars in Iraq and Syria, but have the ability to do much more. UAVs are helpful tools in assessing damage after a disaster, keeping rescuers safe while they help those in need. UAVs are useful tools in monitoring crops to ensure the maximum yield is realized. The use of UAVs is also being used for monitoring remote land areas that are difficult to reach by foot.” However, uses of UAVs are endless. ”This paper goal, is designing a system that uses internet of things (IoT) to make the control for UAV (drone) from an infant distance by simulating the signals coming from RF receiver and remote control, these signals will be provided from Raspberry Pi3 and Arduino Uno devices to apply the signals of Roll, Pitch, Yaw, and Throttle to take control of UAV, the system uses an interaction between raspberry pi and flight controller to ov...

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013

Spin.Works has developed a complete micro-UAV system with the purpose of supporting forest management activities. The aircraft is based on a winged-body design spanning 1.8m with a maximum take-off weight of 2kg, and can carry out missions lasting up to 2h at a cruise speed of about 60km/h. The corresponding ground station ensures the mission planning functions, real-time flight monitoring and visualization, and serves also as a real-time and post-flight data exploitation platform. A particular emphasis is placed on image processing techniques applied to two operational concepts: a fire detection service and a forest mapping service. The real-time operations related to fire detection consist on object tracking and geo-referencing functions, which can be operated by a user directly over the video stream, enabling the quick estimation of the 3D location (latitude, longitude, altitude) of suspected fires. The post-flight processing consists of extracting valuable knowledge from the payload data, in particular tree coverage maps, orthophoto mosaics and Digital Surface Models (DSMs), which can be used for further forest characterization such as wood and cork volume estimation. The system is currently entering initial operations, with expanded operations expected during Q3 2013.

2018

Fire outbreak has been a common issue in forests and large buildings. In this research we are using a drone to detect forest and building fires which uses the techniques of image processing and video processing. Our research can be divided into three main modules. The first module focuses on the cloud service ThingSpeak to perform data analysis. The Data collected by the drone, with the help of flame sensor attached to Arduino, is transferred to ThingSpeak. This is achieved through the esp8266-01 wifi module attached to Arduino. The second module is based on image processing. With the help of inbuilt camera module, the drone captures real time images and image processing is done on that image using google API. The algorithm uses content based image retrieval and detects whether fire is caught inside the image or not, along with its intensity. The algorithm also detects the objects present nearby the fire. Hence if people are present or trapped nearby the fire we can detect them and ...

Although technology has advanced at breathless pace, wildfire still bursts out every year all over the world. There are various wildfire monitoring system employed in diferrent countries, most of them are depended on photos or videos to identify features of wildfire, after wildfire happened. Delay of confirmation is diverse based on used techonologies. An autonomous forest patrol system by Unmanned Aerial Vehicle(UAV) is presented in this paper, which try to employ the fashinable UAV to patrol in forest and collect environmental data in order to monitor and predict wildfire before it really erupts. From limited practical data collected, the monitoring data such as temperature and humidity are effective to reflect the real situation, prediction requires more data and time to prove.

IEEE Internet of Things Journal, 2016

Recently, unmanned aerial vehicles (UAVs), or drones, have attracted a lot of attention, since they represent a new potential market. Along with the maturity of the technology and relevant regulations, a worldwide deployment of these UAVs is expected. Thanks to the high mobility of drones, they can be used to provide a lot of applications, such as service delivery, pollution mitigation, farming, and in the rescue operations. Due to its ubiquitous usability, the UAV will play an important role in the Internet of Things (IoT) vision, and it may become the main key enabler of this vision. While these UAVs would be deployed for specific objectives (e.g., service delivery), they can be, at the same time, used to offer new IoT value-added services when they are equipped with suitable and remotely controllable machine type communications (MTCs) devices (i.e., sensors, cameras, and actuators). However, deploying UAVs for the envisioned purposes cannot be done before overcoming the relevant challenging issues. These challenges comprise not only technical issues, such as physical collision, but also regulation issues as this nascent technology could be associated with problems like breaking the privacy of people or even use it for illegal operations like drug smuggling. Providing the communication to UAVs is another challenging issue facing the deployment of this technology. In this paper, a comprehensive survey on the UAVs and the related issues will be introduced. In addition, our envisioned UAV-based architecture for the delivery of UAV-based value-added IoT services from the sky will be introduced, and the relevant key challenges and requirements will be presented. Index Terms-Drone, Internet of Things (IoT), machine type communication (MTC), machine-to-machine (M2M), unmanned aerial system (UAS), unmanned aerial vehicle (UAV), unmanned aerial vehicle data processing. I. INTRODUCTION I N THE near future, millions of unmanned aerial vehicles (UAVs), also known as drones, are expected to be rapidly deployed in diverse sectors of our daily life performing wide-ranging activities from delivering a package to diving into water for a specific underwater operation [1].

Journal of Environmental Science and Engineering B

Recently, drones have found applicability in a variety of study fields, one of these being forestry, where an increasing interest is given to this segment of technology, especially due to the high-resolution data that can be collected flexibly in a short time and at a relatively low price. Also, drones have an important role in filling the gaps of common data collected using manned aircraft or satellite remote sensing, while having many advantages both in research and in various practical applications particularly in forestry as well as in land use in general. This paper aims to briefly describe the different approaches of applications of UAVs (Unmanned Aircraft Vehicles) in forestry, such as forest mapping, forest management planning, canopy height model creation or mapping forest gaps. These approaches have great potential in the near future applications and their quick implementation in a variety of situations is desirable for the sustainable management of forests.

International Journal of Engineering Applied Sciences and Technology

The way of living has evolved tremendously in the last few years. Technological advancement in the field of robotics and Internet of Things (IoT) has not only improved our way of living but also has become an essential part of our lives. Today we can't imagine a worldwithout cars, phones, computers etc. There's still a long way to go and therefore people keep coming up with new innovative ideas. This research was started keeping the same thing in mind. Due to continuous advancements in technology, it is important to monitor the environment in which we live. In this paper we try to present a solution that could be used to continuously monitor the environment via drone.

2018

The main focus of this research is to develop a real-time forest fire monitoring system using an Unmanned Aerial Vehicle (UAV). The UAV is equipped with sensors, a mini processor (Raspberry Pi) and Ardu Pilot Mega (APM) for the flight controller. This system used five sensors. The first is a temperature sensor that served to measure the temperature in the monitored forest area. The others sensors are embedded in the APM. There are a barometer, Global Positioning Sensor (GPS), inertial measurement unit (IMU) and compass sensor. GPS and compass are used in the navigation system. The barometer measured the air pressure that is used as a reference to maintain the height of the UAV. The IMU consists of accelerometer and gyroscope sensors that are used to estimate the vehicle position. The temperature data from the sensor and the data from GPS are processed by the Raspberry Pi 3, which serves as a mini processor. The results of the data processing are sent to the server to be accessible o...

International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 2018

The quadcopter system is an extremely maneuverable and versatile platform for many applications especially surveillance and aerial photography which can be used to monitor and survey important areas as well as areas which are normally very difficult to access or dangerous locations. The main objective of this paper is to create an autonomous quadcopter for surveillance through camera and to search and retrieve the information about surrounding environment. This drone can be used for agriculture, military applications, disaster relief. The autonomous quadcopter we have designed is capable of self-controlled flight. Our design utilizes an Arducopter Version 2.8 flight controller having an in-built microcontroller. It is interfaced with GPS and Inertial measyrement sensor unit. The quadcopter flight path is generated with the help of mission planner software. During flight, the video obtained from the mobile camera is viewed using the Alfred Home Security Surveillance app. The designed quadcopter can fly autonomously to cover the predefined path and send the video signals which can be viewed with the app.