8 papers
FruitProM-V2: Robust Probabilistic Maturity Estimation and Detection of Fruits and Vegetables
Rahul Harsha Cheppally, Sidharth Rai, Sudan Baral +2
Accurate fruit maturity identification is essential for determining harvest timing, as incorrect assessment directly affects yield and post-harvest quality. Although ripening is a…
YOLO26: Key Architectural Enhancements and Performance Benchmarking for Real-Time Object Detection
Ranjan Sapkota, Rahul Harsha Cheppally, Ajay Sharda +1
This study presents a comprehensive analysis of Ultralytics YOLO26(also called as YOLOv26), highlighting its key architectural enhancements and performance benchmarking for real-ti…
FruitProm: Probabilistic Maturity Estimation and Detection of Fruits and Vegetables
Sidharth Rai, Rahul Harsha Cheppally, Benjamin Vail +2
Maturity estimation of fruits and vegetables is a critical task for agricultural automation, directly impacting yield prediction and robotic harvesting. Current deep learning appro…
RowDetr: End-to-End Crop Row Detection Using Polynomials
Rahul Harsha Cheppally, Ajay Sharda
Crop row detection enables autonomous robots to navigate in gps denied environments. Vision based strategies often struggle in the environments due to gaps, curved crop rows and re…
Axis-Aligned 3D Stalk Diameter Estimation from RGB-D Imagery
Benjamin Vail, Rahul Harsha Cheppally, Ajay Sharda +1
Accurate, high-throughput phenotyping is a critical component of modern crop breeding programs, especially for improving traits such as mechanical stability, biomass production, an…
Computer Vision based Automated Quantification of Agricultural Sprayers Boom Displacement
Aryan Singh Dalal, Sidharth Rai, Rahul Singh +3
Application rate errors when using self-propelled agricultural sprayers for agricultural production remain a concern. Among other factors, spray boom instability is one of the majo…