MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641113494 A) filed by Anurag University on September 22, 2026, for A Hybrid Machine Learning System For Crop Yield Prediction And Pest Detection.
Inventors include G. Bala Krishna; K. Lasyasri Cse; G. Uttam Reddy Cse; and C. Prabhas Goud Cse.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: ABSTRACT A hybrid agricultural prediction and pest detection system (100) is provided for crop-related decision support through a web-based interface. An input and user interface module (101) receives land area, temperature, humidity, pH value and rainfall data and a crop or plant image. A data preprocessing module (102) performs data normalization and improved oversampling including ISMOTE. A feature extraction module (103) derives correlation, statistical, entropy and raw data features, which are processed by a feature selection module (104). An improved feature ranking and fusion module (105) ranks and fuses selected features. A hybrid prediction module (106) comprising LSTM and DBN models processes the fused features to generate a unified crop prediction and estimated yield. A CNN-based pest detection module (107) analyses the image to identify a pest. An output and agricultural information module (108) presents the crop prediction, yield, identified pest, pest prevention information and seasonal crop information. The figure associated with abstract is Fig. 1.
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