MUMBAI, India, Oct. 12 -- Intellectual Property India has published a patent application (202511040342 A) filed by Dr. B R Ambedkar National Institute Of Technology Jalandhar on April 25, 2025, for Deep Adaptive Vision System For Early Detection Of Abiotic Stressors In Precision Agriculture.
Inventors include Dr. Nagendra Pratap Singh; Dr. Ashish Raman; Dr. Avtar Singh; Dr. Prabhat Singh; Ms. Prem Kumari Verma; and Mr. Mithilesh Kumar Singh Yadav.
The application for the patent was published on October 09, 2026, under issue no. 41/2026.
Abstract: The present invention relates to a deep adaptive vision system designed for the early detection of abiotic stressors in crops, utilizing advanced imaging and machine learning techniques to provide real-time, actionable insights for precision agriculture. The system employs a combination of RGB, multispectral, hyperspectral, and thermal cameras to capture high-resolution visual data from crops, which is then processed by sophisticated algorithms to identify subtle signs of abiotic stress such as drought, nutrient deficiencies, and temperature extremes. By using deep learning, particularly convolutional neural networks (CNNs), the system is capable of classifying various stress conditions with high accuracy and adaptability, continuously improving its detection capabilities as more data is collected. This system is integrated into a mobile platform, such as an autonomous drone or robotic ground vehicle, ensuring comprehensive coverage of large agricultural fields.
Disclaimer: Curated by HT Syndication.
