MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123143 A) filed by B V Raju Institute Of Technology, Narsapur, Telangana, on Dec. 6, 2025, for 'optimizing greenhouse agriculture with deep learning and computer vision.'
Inventor(s) include Cheemaladinne Vengaiah; Sreekanth Kota; K. Saimadhuri; and Durgadevi Seetha.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "As global challenges in food security and resource sustainability intensify, smart greenhouse agriculture offers a transformative pathway for sustainable farming. Deep learning (DL) and computer vision (CV) play pivotal roles in this shift, providing precise, data-driven solutions to boost productivity and operational efficiency. This paper reviews over 100 recent studies on the integration of DL techniques within greenhouse environments, focusing on key applications such as growth monitoring, disease detection, pest management, yield prediction, and automated harvesting. Prominent DL models, including CNNs, YOLO, Mask R-CNN, and U-Net, are explored for their roles in addressing these challenges. The review also examines advancements in multi-modal sensor fusion, edge computing, and real-time analytics tailored for controlled agricultural settings. It discusses challenges like limited data availability, model adaptability, computational constraints, and cost barriers, while highlighting emerging trends in explainable AI and autonomous systems. Future research directions are proposed to overcome existing limitations, ensuring scalable and robust solutions for sustainable greenhouse farming. This comprehensive review aims to guide researchers and practitioners in harnessing DL technologies to develop efficient, smart agricultural systems capable of meeting the growing global food demand."
Disclaimer: Curated by HT Syndication.
