Issuu

International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 10 Issue: 05 | May 2023

p-ISSN: 2395-0072

www.irjet.net

Design and Development of a Weather Drone Using IoT Gooneelkumar Bannenavar1, Aman Aslam Hudli2, Mohammed Shahid Mulla3, Prajwal Nayak4 , Suprit Malagi3 , Dr. Rajendra M Galagali 6 1,2,3,4Students, Department of Mechanical Engineering S.G. Balekundri Institute of Technology Engineering school

in Belgaum, Karnataka,India

5Professor and Project guide, Department of Mechanical Engineering, S.G. Balekundri Institute of Technology,

Belagavi, Karnataka, India

6 Professor and HOD, Department of Mechanical Engineering, S.G. Balekundri Institute of Technology, Belagavi,

Karnataka, India ---------------------------------------------------------------------***---------------------------------------------------------------------

Abstract - The use of drones in various fields is growing

2017; Rizvi et al., 2019) have proposed different communication systems for weather drone applications. These include wireless technologies such as Wi-Fi, cellular networks, and satellite communication. The research highlights the need for reliable and secure data transmission protocols to ensure seamless connectivity between the drone and the IoT platform.

rapidly, and weather forecasting is no exception. In this paper, we present the design and development of a weather drone using IoT technology. The drone is equipped with sensors to collect weather data like temperature and himidity. The data is then transmitted to a cloud server via a wireless connection, where it can be analyzed and used to provide accurate weather forecasts.

Analyzing and visualizing weather data collected by drones is essential for meaningful interpretation and decisionmaking. Researchers (Chen et al., 2018; Park et al., 2021) have explored various data analysis techniques, including machine learning algorithms and statistical methods, to extract valuable insights from weather drone data. Visualization techniques, such as charts, graphs, and maps, have also been employed to present the data in a userfriendly and informative manner.

Key Words: weather, temperature, humidity, IOT etc 1.INTRODUCTION The use of weather forecasting is vital in our day-to-day life. It is used in various industries like aviation, transportation, agriculture, and many more. Traditional methods of weather forecasting involve ground-based sensors, weather balloons, and satellites. However, these methods can be expensive and time-consuming. Drones have emerged as a viable alternative to traditional weather forecasting methods due to their ability to collect data from inaccessible locations quickly. The use of IoT technology in drones has enabled the collection of real-time data and transmission to cloud servers for analysis. In this paper, we present the design and development of a weather drone using IoT technology.

The use of weather drones in agriculture has shown significant potential for improving crop management and yield. Researchers (Wang et al., 2019; Zhang et al., 2021) have demonstrated the benefits of weather drone systems in optimizing irrigation schedules, predicting crop water requirements, and monitoring pest and disease outbreaks. These studies emphasize the importance of integrating weather drone data with agronomic models and decision support systems to assist farmers in making informed decisions.

1.1 LITERATURE SURVEY

1.2 METHODOLOGY

One critical aspect of weather drone design is the integration of IoT sensors for data collection. Researchers (Smith et al., 2018; Zhang et al., 2020) have explored the integration of sensors such as temperature, humidity, wind speed, air pressure, and rainfall sensors onto drones, enabling real-time data collection at different altitudes and locations. These studies emphasize the importance of selecting accurate and reliable sensors and ensuring proper calibration for precise weather data measurements.

Problem Definition: The research aims to address the problem of effective weather monitoring in various fields, such as agriculture, environmental monitoring, and disaster management. The existing weather monitoring systems have limitations in terms of data accuracy, real-time transmission, and accessibility. The proposed solution is to develop a weather drone using IoT technology, integrating hardware components and data transmission mechanisms to collect, analyze, and transmit weather data in real-time.

Efficient data transmission is crucial for timely weather data analysis and decision-making. Several studies (Li et al.,

Impact Factor value: 8.226

ISO 9001:2008 Certified Journal

Page 1635