18 citations · 25 across the 8 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…
RF-DETR Object Detection vs YOLOv12 : A Study of Transformer-based and CNN-based Architectures for Single-Class and Multi-Class Greenfruit Detection in Complex Orchard Environments Under Label Ambiguity
Ranjan Sapkota, Rahul Harsha Cheppally, Ajay Sharda +1
This study conducts a detailed comparison of RF-DETR object detection base model and YOLOv12 object detection model configurations for detecting greenfruits in a complex orchard en…
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…