MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641022275 A) filed by Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai, Tamil Nadu, on Feb. 25, for 'agroguard: ai-powered plant disease diagnosis yield forecasting, and soil-adaptive crop recommendation systems.'

Inventor(s) include Vinothini A; Megavarshini S; Brindha D; and Janani R.

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 AGROGUARD system is a computer system that helps figure out how well crops will grow and makes farms run better. It uses computers and special methods to look at information. The AGROGUARD system collects a lot of information about farming like how food a faim has grown before what the soil is like and what the weather is like. It also checks how much pesticide is being used. The AGROGUARD system then uses all this information to make predictions about how crops will grow. The AGROGUARD system is really good at helping farms because it looks at much information about the farm and the crops and then it makes predictions, about the crops. The AGROGUARD system does this by trying out ways of - making predictions and picking the AGROGUARD system method that works the best. The AGROGUARD Q) g system is always getting better at predicting crop yields. The AGROGUARD system supports real-time prediction by accepting field inputs and generating recommendations that people can actually use for things like crop selection and irrigation scheduling and fertilizer management. The AGROGUARD system is different, from yield prediction tools because the AGROGUARD system continuously updates its learning models based on new data and adapts to the local environment and the seasons. The proposed invention therefore provides a practical, scalable and fanner-centric decision support platform that reduces uncertainty in agricultural planning, improves resource utilization and enhances productivity and sustainability in modern farming practices."

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