This inventor holds 1 USPTO granted patent. Top assignees: Raven Industries, Inc., South Dakota State University. Active years: 2026.
Company Filing History:


Years Active: 2026
Title: Praneel Acharya: Innovator in Agricultural Technology
Introduction
Praneel Acharya is a notable inventor based in Brookings, SD (US). He has made significant contributions to the field of agricultural technology, particularly in the detection and tracking of droplets from spray nozzles. His innovative approach combines advanced sensor technology with artificial intelligence to enhance agricultural practices.
Latest Patents
Praneel Acharya holds 1 patent for his invention titled "Determination of droplet characteristics." This system and method provide a comprehensive solution for detecting and tracking droplets sprayed from agricultural spray nozzles. The system includes a sensor designed to observe droplets, a frame extractor module, a droplet shape and size extraction module, a droplet tracking module, and a data log module. The integration of an AI-enabled framework allows for the processing of images obtained from droplets, enabling the detection and tracking of all droplets across image frames. Furthermore, the system determines the geometric and dynamic data of the droplets, ensuring precise and reliable results even under uncertain imaging conditions.
Career Highlights
Throughout his career, Praneel Acharya has worked with reputable organizations such as Raven Industries, Inc. and South Dakota State University. His experience in these institutions has allowed him to develop and refine his innovative ideas in agricultural technology.
Collaborations
Praneel has collaborated with talented individuals in his field, including Kim-Doang Nguyen and Travis Burgers. These collaborations have contributed to the advancement of his projects and the successful implementation of his inventions.
Conclusion
Praneel Acharya's work in agricultural technology exemplifies the impact of innovation on modern farming practices. His patented system for droplet detection and tracking showcases the potential of integrating AI with traditional agricultural methods. His contributions continue to influence the industry and pave the way for future advancements.