MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202641088021 A) filed by Vallurupalli Nageswara Rao Vignana Jyothi Institute Of Engineering And Technology on July 18, 2026, for An Intelligent Computer Vision Framework For Automated Fruit Yield Estimation And Trend Analysis Using Multi-Object Tracking.
Inventor includes Dr. G. Ramesh Chandra.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: Traditional yield estimation techniques used in farming involves manual counting, which can be time-consuming and labour-intensive while being prone to human error. And this makes it difficult to optimize pricing strategies, resource allocation and overall farm management. While keeping this in mind, inaccurate data on the quantity of fruits makes it difficult for farmers to make proper decisions. Their capacity to identify trends in yield over time reduces their performance to evaluate the quality of farming activities. With the use of computer vision to automate the counting process, the proposed solution optimizes time, eliminates human error and produces reliable yield statistics. This helps farmers optimize resource utilization, customize pricing strategies, deploy better strategies and help in making informed choices. Furthermore, tracking trends of yield with time offers useful information for continuous improvement, allowing for better results and greater profitability. The implementation of advanced multi-object tracking methods has shown significant improvements in accurately assessing fruit yield. By enhancing precision and efficiency in the counting process, this system demonstrates strong potential for transforming traditional yield estimation methods, making them more reliable and effective for modern farming practices.
Disclaimer: Curated by HT Syndication.
