MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641074338 A) filed by Agasthiya G; Christina Joys S; Gayathri S; Pavithra S; Preethi C; Sricharumithaa M; Arjun S; and Hemanandhini K K on June 16, 2026, for An Integrated Artificial Intelligence-Based Agricultural Decision Support System For Pest Detection And Crop Yield Forecasting.
Inventors include Agasthiya G; Christina Joys S; Gayathri S; Pavithra S; Preethi C; Sricharumithaa M; Arjun S; and Hemanandhini K K.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention discloses an integrated artificial intelligence-based agricultural decision support system for real-time pest and disease detection and crop yield forecasting. The system employs transfer learning-based deep learning models, including VGG16 and EfficientNet, to analyze crop images and identify diseases with corresponding treatment recommendations. Further, a hybrid predictive framework combining machine learning and Long Short-Term Memory (LSTM) networks utilizes static farm parameters and dynamic weather data to generate reliable crop yield forecasts. The invention incorporates a cloud-based microservices architecture with secure data management and a user-friendly web/mobile interface to deliver timely diagnostics, predictive insights, and actionable recommendations to farmers. By integrating crop health monitoring and yield prediction within a single platform, the proposed system enhances agricultural productivity, optimizes resource utilization, reduces crop losses, and supports precision farming through informed decision-making.
Disclaimer: Curated by HT Syndication.
