MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202521123973 A) filed by Deepak Tatyasaheb Mane; Rohit Raut; Harsh Mishra; Shrirang Amle; and Shriram Vyavahare, Pune, Maharashtra, on Dec. 9, 2025, for 'krishisetu: an iot-enabled platform for soil nutrient profiling and ai based npk prediction.'
Inventor(s) include Deepak Tatyasaheb Mane; Rohit Raut; Harsh Mishra; Shrirang Amle; and Shriram Vyavahare.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The patentable solution is a low-priced, AI-driven soil analysis device that is projected to determine the nutrient content and recommend suitable crops in real-time without testing the soil with a laboratory as well as not having to implement direct NPK sensors. To visually analyze the images and photos of the pH-strips and soil, a sensing module is constructed based on ESP32 that receives information about the soil moisture, temperature, humidity, and the baseline pH level whereas the smartphone camera captures pictures and photographs of them. The smartphone processes all the inputs according to on-device image-processing models and lightweight TensorFlow Lite models to estimate the Nitrogen, Phosphorus and Potassium (NPK) based on indirect sensor values and visual appearance. The system of crop recommendation will develop the appropriate cultivation recommendations based on the projected soil profile, soil type and the pH. The system will also be dependable when used when offline and in the rural area by performing all calculations in the mobile device. The invention will offer a less expensive, more accurate and instant alternative to the traditional soil testing solutions that enable planning of the fertilizers in the data and improve agricultural output."
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