MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202621022924 A) filed by Rajarambapu Institute Of Technology, Walwa, Maharashtra, on Feb. 26, for 'learning-enabled autonomous orchard vehicle with adaptive multi-axis treatment control.'
Inventor(s) include Shreyas Sudhir Awati; and Jayashree Sudhir Awati.
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: "Learning-Enabled Autonomous Orchard Vehicle with Adaptive Multi-Axis Treatment Control This invention describes a learning-enabled autonomous orchard treatment vehicle configured for precision fruit crop management across variable orchard architectures. The system integrates real-time three-dimensional canopy profiling with adaptive multi-axis mechanical deployment and zone-wise intelligent treatment modulation to deliver geometry-responsive application of agricultural inputs. A learning-based decision framework processes spatial canopy data to determine optimized positioning, directional alignment, discharge intensity, and activation duration without manual calibration. The system further incorporates closed-loop coverage verification to ensure treatment completeness and minimize overspray, drift, and material wastage. Safety-responsive control mechanisms automatically suspend or adjust operation upon detection of obstacles or unsafe proximity conditions. By dynamically correlating canopy geometry with effective treatment strategies and refining operational parameters over repeated passes, the invention enhances coverage uniformity, reduces chemical consumption, and improves operational efficiency. The system is scalable across diverse orchard configurations, tree species, and growth stages, thereby advancing intelligent automation in precision orchard management."
Disclaimer: Curated by HT Syndication.
