Divya Rathore

About

Divya Rathore is a pioneering researcher at the intersection of agricultural robotics and deep learning, whose work is transforming precision horticulture. Her primary research focuses on developing intelligent vision systems for automated fruit harvesting in complex orchard environments. Rathore’s major contributions include a novel two-stage deep-learning model that not only detects Kashmiri orchard apples but also classifies them under occlusion—a critical challenge for robotic harvesting. This work, published in 2023, has already garnered 22 citations, reflecting its immediate impact on the field. Additionally, her research on estimating depth from RGB images using deep learning addresses a fundamental bottleneck in robotic perception: enabling machines to understand geometric relationships within dense canopy structures without expensive LiDAR sensors. This paper, with 12 citations, demonstrates her ability to solve practical, real-world problems. Rathore’s work is notable for its direct application to the apple industry, promising to reduce labor costs and improve harvest efficiency. Her innovative fusion of computer vision and agricultural engineering positions her as a rising leader in the development of autonomous farming technologies.

Research Focus

Key Achievements

Top Papers

1. 1
   A Two-Stage Deep-Learning Model for Detection and Occlusion-Based Classification of Kashmiri Orchard Apples for Robotic Harvesting

   22 citations · 2023
2. 2
   Estimating depth from RGB images using deep-learning for robotic applications in apple orchards

   12 citations · 2023

Key Collaborators

Contact & Links