7 citations · 7 across the 5 of their papers we have counts for
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…
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…
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…
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…
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…
Enhancing seeding efficiency using a computer vision system to monitor furrow quality in real-time
Sidharth Rai, Aryan Dalal, Riley Slichter +1
Effective seed sowing in precision agriculture is hindered by challenges such as residue accumulation, low soil temperatures, and hair pinning (crop residue pushed in the trench by…