MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043724 A) filed by KKR & KSR Institute of Technology and Sciences, Guntur, Andhra Pradesh, on April 6, for 'an explainable multimodal system for quantitative micronutrient deficiency detection and adaptive fertilizer optimization in rose plants.'
Inventor(s) include Mrs. D. Vijaysree; Ms. V. Kiranmai; Ms. D. Jahnavi; Ms. R. Harshitha; and Mr. D. Dharahasini.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The Explainable Multimodal Micronutrient Deficiency Quantification and Adaptive Fertilizer Optimization System is an advanced agricultural intelligence platform designed to detect, quantify, and optimize micronutrient deficiencies in rose plants using deep learning, image processing, and multimodal data fusion. Unlike conventional classification-based systems, this approach performs quantitative regression to estimate nutrient concentration levels in parts per million (ppm). The system integrates convolutional neural networks, Grad-CAM visualization, adaptive thresholding, vein-structure analysis, and distance-based geometric modelling to precisely evaluate deficiency severity. By combining visual leaf features with soil pH data and texture metrics, the platform generates an optimized fertilizer dosage recommendation tailored to plant age and absorption characteristics. This transparent, mathematically structured, and multimodal framework promotes precision agriculture, reduces resource wastage, and enhances sustainable nutrient management."
Disclaimer: Curated by HT Syndication.
