This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Debasis Dan - Innovator in Agricultural Technology
Introduction
Debasis Dan is a prominent inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of agricultural technology through his innovative work in deep learning systems. His research focuses on enhancing crop characteristics prediction, which is crucial for improving agricultural productivity.
Latest Patents
Debasis Dan holds a patent for a "Deep learning system and method for predicting crop characteristics." This advanced system utilizes deep learning techniques to predict various crop characteristics based on inputs that include crop variety features, environmental features, and field management features. The system comprises domain-specific modules, some of which are implemented as convolutional neural networks (CNN), while others utilize fully-connected neural networks. The interactions between different domains are effectively captured through cross attention between respective embeddings. The concatenation of embeddings from multiple domain-specific modules creates a deep neural network (DNN) that predicts characteristics such as yield, height, or disease resistance. This DNN can also assist in selecting suitable crop varieties for planting and field management techniques.
Career Highlights
Debasis Dan is currently associated with Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in technology. His work is instrumental in bridging the gap between technology and agriculture, providing farmers with tools to enhance their crop yields and manage their fields more effectively.
Collaborations
Debasis has collaborated with notable colleagues, including Sara Malvar Maua and Patrick Bernd Buehler, who share his vision of integrating technology into agricultural practices.
Conclusion
Debasis Dan's contributions to deep learning in agriculture exemplify the potential of technology to transform traditional farming practices. His innovative approach not only aids in predicting crop characteristics but also supports sustainable agricultural development.