Ranjan Sapkota

I'm a **graduate research assistant** in **computer vision and agricultural robotics** at **Cornell University** currently working on **agentic AI systems and vision-language models for autonomous agricultural applications**. I previously did research at **Washington State University** working with **Dr. Manoj Karkee and collaborators in precision agriculture**. My work focuses on **developing intelligent robotic systems that integrate perception, reasoning, and action for real-world agricultural automation**.
My research spans multiple domains including **agentic AI architectures, vision-language-action models, and autonomous UAV systems**. I'm particularly interested in how **large language models can be combined with computer vision** to create more adaptable and context-aware agricultural robots. Recent projects include developing **YOLO-based object detection systems for fruit counting and sizing**, creating **synthetic datasets using LLMs for training agricultural AI models**, and exploring **trust, risk, and security management frameworks for agentic multi-agent systems**.
I'm passionate about bridging the gap between **theoretical AI advances and practical agricultural applications**, with a focus on developing systems that can operate reliably in complex, unstructured orchard environments. My work aims to **reduce chemical usage, improve crop management precision, and enhance the sustainability of agricultural practices** through intelligent automation and human-AI collaboration.

Publications

UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs

Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee

arXiv.org 2025

Ranjan Sapkota

Publications

UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs

TRiSM for Agentic AI: A Review of Trust, Risk, and Security Management in LLM-based Agentic Multi-Agent Systems

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI

AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges

Vision-Language-Action Models: Concepts, Progress, Applications and Challenges

Plant Disease Detection through Multimodal Large Language Models and Convolutional Neural Networks

A Review of 3D Object Detection with Vision-Language Models

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

A pose-versatile imaging system for comprehensive 3D modeling of planar-canopy fruit trees for automated orchard operations

Improved YOLOv12 with LLM-Generated Synthetic Data for Enhanced Apple Detection and Benchmarking Against YOLOv11 and YOLOv10

Comprehensive Analysis of Transparency and Accessibility of ChatGPT, DeepSeek, And other SoTA Large Language Models

YOLOv10-pose and YOLOv9-pose: Real-time strawberry stalk pose detection models

Estimating optimal crop-load for individual branches in apple tree canopies using YOLOv8

Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey

Who is Responsible? The Data, Models, Users or Regulations? A Comprehensive Survey on Responsible Generative AI for a Sustainable Future

Integrating YOLO11 and Convolution Block Attention Module for Multi-Season Segmentation of Tree Trunks and Branches in Commercial Apple Orchards

Zero-Shot Automatic Annotation and Instance Segmentation using LLM-Generated Datasets: Eliminating Field Imaging and Manual Annotation for Deep Learning Model Development

Comparing YOLOv11 and YOLOv8 for instance segmentation of occluded and non-occluded immature green fruits in complex orchard environment

YOLO11 and Vision Transformers based 3D Pose Estimation of Immature Green Fruits in Commercial Apple Orchards for Robotic Thinning

Synthetic Meets Authentic: Leveraging LLM Generated Datasets for YOLO11 and YOLOv10-Based Apple Detection through Machine Vision Sensors

A vision-based robotic system for precision pollination of apples

Comprehensive Performance Evaluation of YOLOv12, YOLO11, YOLOv10, YOLOv9 and YOLOv8 on Detecting and Counting Fruitlet in Complex Orchard Environments

YOLO advances to its genesis: a decadal and comprehensive review of the You Only Look Once (YOLO) series

Comparing YOLOv8 and Mask RCNN for object segmentation in complex orchard environments

Immature Green Apple Detection and Sizing in Commercial Orchards Using YOLOv8 and Shape Fitting Techniques

Semiautonomous Precision Pruning of Upright Fruiting Offshoot Orchard Systems: An Integrated Approach

Robotic Pollination of Apples in Commercial Orchards

Generative AI in Agriculture: Creating Image Datasets Using DALL.E's Advanced Large Language Model Capabilities

Machine Vision-Based Crop-Load Estimation Using YOLOv8

Machine Vision System for Early-stage Apple Flowers and Flower Clusters Detection for Precision Thinning and Pollination

Towards reducing chemical usage for weed control in agriculture using UAS imagery analysis and computer vision techniques

An autonomous robot for pruning modern, planar fruit trees

Using UAS Imagery and Computer Vision to Support Site-Specific Weed Control in Corn

UAS Imagery and Computer Vision for Site-Specific Weed Control in Corn

Soil Property Analysis Process by Multi Sensor Technique

Early Experience of Cardiac Surgery in the Maldives

Bedside Surgical Tracheostomy: The Austin experience

Who is Responsible? The Data, Models, Users or Regulations? Responsible Generative AI for a Sustainable Future

Synthetic Meets Authentic: Leveraging Text-to-Image Generated Datasets for Apple Detection in Orchard Environments

YOLOv10 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once Series

Comprehensive Performance Evaluation of YOLOv10, YOLOv9 and YOLOv8 on Detecting and Counting Fruitlet in Complex Orchard Environments

Slicing-Aided Hyper Inference for Enhanced Fruit Bud Detection and Counting in Apple Orchards during Dormant Season

Human-Assisted Robotic Trials to Nature-Assisted Strategies for feasibility of Automated Fruitlet Thinning in Commercial Orchards

Automated System for Continuous Green Shoot Thinning in Vineyards

Comprehensive Performance Evaluation of YOLO11, YOLOv10, YOLOv9 and YOLOv8 on Detecting and Counting Fruitlet in Complex Orchard Environments

YOLO V 10 TO I TS G ENESIS : A D ECADAL AND C OMPREHENSIVE R EVIEW OF T HE Y OU O NLY L OOK O NCE (YOLO) S ERIES

Ethical Implications of Automating Human Jobs in Agriculture: Balancing Technological Advancements with Labor Concerns