MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641089611 A) filed by Malla Reddy Mr Deemed To Be University; Dr Epuri Deepthi; and Dr. C. Silpa on July 23, 2026, for Crops And Weed Classification Using Deep Neural Networks.
Inventors include Dr Epuri Deepthi; Dr. C. Silpa; Mr Ch S S Anirudh; Ms Gandla Niharika; Mr Venkata Brahma Karthik; Ms Lakshmi Dhanush Meruva; and Mr Bollam Ganesh.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: TITLE OF THE INVENTION CROPS AND WEED CLASSIFICATION USING DEEP NEURAL NETWORKS 1. ABSTRACT This project introduces a way to study and handle weeds in farm areas so crops can grow better. Starting with the fact that these uninvited plants take what crops need like food, moisture, light, plus room their presence cuts harvest amounts sharply. Plants grow differently depending on what they find in the soil. Because nutrients shift across fields, some spots favor weeds more than crops. When dirt stays too wet or drains fast, it changes who wins above ground. Since weather swings season to season, outcomes tilt one way then another. Where sunlight lingers longest, green things crowd out others slowly. With roots fighting underground, space sh apes survival just as much as rain does. Over time, patterns show which invaders slow harvests most. One way to look at it nutrients like nitrogen, phosphorus, or potassium get pulled away by weeds, shaping how plants grow and yield. Because of what rese archers saw during mo
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