MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202641009454 A) filed by Ravindra College Of Engineering For Women, Kurnool, Andhra Pradesh, on Jan. 29, for 'smart farming with an intelligent pesticide and fertilizer recommendation system.'
Inventor(s) include G. Spandana; Dr. G. Ramachandra Reddy; M. Srinivasa Reddy; K. Naga Gowri; PJM Sumalatha; N. Rahamathunnisa; D. Bindu Madhavi; Shaik Basheer Ahammed; Kalla Vahini Reddy; and N. Ruthuveena.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The Intelligent Insecticide and Fertilizer Recommendation System for smart farming leverages advanced machine learning (ML) and deep learning (DL) techniques to assist farmers in effective pest management and fertilizer recommendations. The system processes input datasets comprising pest images and fertilizer information. For pest images, the system first performs pre-processing steps like resizing and grayscale conversion, followed by feature extraction using techniques such as Grey Level Co-occurrence Matrix (GLCM). The pre-processed images are split into training and testing sets, and a hybrid model of Transition Probability Function (TPF) and Convolutional Neural Network (CNN-1D) is used for pest classification. For fertilizer data, preprocessing includes handling missing data and label encoding, with data splitting followed by a Random Forest algorithm for classification. The system outputs pest-related insecticide recommendations and fertilizer suggestions based on the trained models. Performance is evaluated using metrics such as accuracy, precision, recall, F1-score, and error rate, with results presented through comparison graphs. A web application interface allows users to register, log in, upload images, and receive real-time predictions, facilitating a more efficient and data-driven approach to farming."
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