Company Filing History:
1 out of 832,891 Years Active: 2021-2024
Title: Innovations by Duncan Axisa in Weather Modification
Introduction
Duncan Axisa is an innovative inventor based in Boulder, Colorado. He has made significant contributions to the field of weather modification through his patented technologies. With a total of two patents to his name, Axisa is at the forefront of developing intelligent systems that enhance weather modification programs.
Latest Patents
Duncan Axisa's latest patents focus on intelligent systems for weather modification programs. These patents involve obtaining data regarding the current locations of candidate clouds that are suitable for seeding. A vehicle is then directed to move close to these candidate clouds. Weather and cloud system data are collected from a sensor suite associated with the vehicle while it is near the candidate clouds. The vehicle's position parameters are also obtained from this sensor suite. Using a machine learning process, it is determined which candidate clouds should be seeded and where to disperse the appropriate seeding material. The vehicle is then controlled to carry out the seeding on the selected candidate clouds based on these determinations.
Career Highlights
Throughout his career, Duncan Axisa has focused on advancing technologies that can influence weather patterns. His work has the potential to address various environmental challenges by improving precipitation processes. His innovative approach combines machine learning with real-time data collection to optimize weather modification efforts.
Collaborations
Duncan Axisa collaborates with Thomas Peter DeFelice, who shares a commitment to advancing weather modification technologies. Their partnership enhances the development of intelligent systems that can effectively manage and influence weather conditions.
Conclusion
Duncan Axisa's contributions to weather modification through his innovative patents demonstrate his commitment to leveraging technology for environmental benefits. His work exemplifies the potential of intelligent systems in addressing complex weather-related challenges.