MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202511131984 A) filed by Panipat Institute Of Engineering And Technology, Samalkha, Haryana, on Dec. 26, 2025, for 'ai-driven machine vision and cnn-integrated robotic system for precision agrochemical spraying and deep canopy inspection in orchard crops.'
Inventor(s) include Prof. Poonam Panwar.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "The invention provides an AI-driven, machine-vision-based robotic system designed for precise agrochemical spraying and deep canopy inspection in orchard environments. The system integrates high-resolution imaging, multi-sensor data acquisition, and Convolutional Neural Network (CNN) analysis to detect plant diseases, pests, and canopy health conditions in real time. A mobile platform with a 360-degree rotational housing, adaptive mechanical assemblies, and electronically controlled nozzles enables targeted, dosage-accurate spraying within dense foliage. A central mixing chamber formulates customised chemical solutions based on AI-derived recommendations, while ecological safety modules prevent drift and protect nests or sensitive zones. The system further incorporates root-level chemical delivery, selective cutting of infected plant parts, autonomous navigation, wireless data transmission, and an AI-learning engine for predictive treatment scheduling. The invention enhances plant health, reduces chemical wastage, and provides an advanced, environmentally responsible solution for automated orchard crop management."
Disclaimer: Curated by HT Syndication.
