•  
  •  
 

Manipal Journal of Science and Technology

Abstract

This paper presents the culmination of the "Low-Cost Weather Forecasting Blimp" study, focusing on the design, development, and evaluation of a low-cost weather monitoring blimp tailored for agricultural applications. With accurate and localized weather forecasting being crucial for sustainable farming practices, especially in remote and developing regions, the Low-Cost Weather Forecasting Blimp system aims to address this challenge by providing real-time atmospheric data at an affordable price point. The Low-Cost Weather Forecasting Blimp system is designed as a multirotor aerial platform equipped with a customized sensor array to measure essential weather parameters such as temperature, humidity, wind speed, and precipitation. Leveraging IoT technology, the blimp transmits the collected sensor data via cellular networks to a ground station for real-time analysis using machine learning algorithms. These algorithms are specifically tailored to detect trends, anomalies, patterns in the data, enabling the generation of precise short-term forecasts relevant to farmer’s needs.

Included in

Engineering Commons

Share

COinS