MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541124060 A) filed by Ms. L. Sudha; Dr. V. Sureka; Dr. K. B. Aruna; and S. A. Engineering College, Chennai, Tamil Nadu, on Dec. 9, 2025, for 'agriscape: smart cultivation hub for superior apples using various neural network algorithms.'
Inventor(s) include Ms. L. Sudha; Dr. V. Sureka; and Dr. K. B. Aruna.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "Across the globe, deep learning algorithms are playing a crucial role in detecting and classifying plant diseases. These algorithms, including artificial neural networks (ANNs), are utilized to identify illnesses in plant leaves. High-quality automated detection methods can significantly reduce the need for extensive field monitoring. In our approach, we communicate with an Arduino Uno using UART protocols to send signals to a driver circuit, which powers the pump motors. Additionally, we use an NPK sensor to identify different soil types and control a servo motor to manage the motor model effectively. Agriculture is essential for producing food to meet the needs of the growing global population. This is particularly relevant for many emerging countries facing the challenge of increasing food production. Plant diseases can severely impact the quantity and quality of food, fibre, and biofuel crops, undermining agriculture's goal of feeding the world's expanding population. Despite the potential for significant losses, managing these diseases without expert assistance can be costly for farmers and lead to issues like contamination and ineffective disease control. Farmers worldwide are now leveraging deep learning algorithms to recognize and classify plant diseases. This study outlines the models used for detecting diseases in plant leaves, including predefined and user-specified approaches. By integrating these technologies, we aim to enhance disease management and support agricultural productivity."
Disclaimer: Curated by HT Syndication.
