MUMBAI, India, Aug. 24 -- Intellectual Property India has published a patent application (202621082039 A) filed by Symbiosis International Deemed University on July 02, 2026, for Multilingual Ai System For Crop Disease Detection And Agricultural Decision Support.
Inventors include Vishesh Sanat; Yug Agrawal; Shaik Kashif; and Dr. Dhanashree K. Barbole.
The application for the patent was published on August 21, 2026, under issue no. 34/2026.
Abstract: ABSTRACT MULTILINGUAL AI SYSTEM FOR CROP DISEASE DETECTION AND AGRICULTURAL DECISION SUPPORT The present invention discloses a multilingual AI-powered agricultural decision support system (100) that detects crop diseases from leaf images and provides comprehensive farmer assistance. The system (100) employs crop-specific deep learning models including a ResNet18 classification model (132) and an EfficientNet-B0 classification model (134) trained on a multi-crop dataset of over 28,000 images covering 27 classes across six crop types to generate confidence-based disease predictions. An AI recommendation module (140) generates disease analysis, fertilizer recommendations, pesticide suggestions, and preventive measures, all translated into the farmer's preferred regional language through a multilingual translation engine (146). The system (100) further integrates weather intelligence (150), market information (160), and government scheme assistance (170) within a unified mobile platform, eliminating dependence on manual expert consultation and providing accessible agricultural advisory services. [
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