MK
Manoj Karkee
cs.CVcs.AIcs.ROcs.CLcs.LGcs.SEActuating forceAgricultureeess.IVFTA card
On Valency
published · living versionsW_kmr95v9c·v2 · currentpublished
W_rsc3r3c5·v2published
W_rnpb624a·v1published
W_48xeuet3·v1published
Preprints & journals
46 papers in the corpus · 2015–2026Optimizing YOLO27, YOLO26, YOLO11, and YOLOv8 for Fine-Grained Small-Object Detection and Segmentation in Complex Orchard Environments2608.23636v2 · Ranjan Sapkota, Manoj Karkee2026 · 0 citationsarXivon Valency
Fusing Perceptual Vision Experts with Multimodal LLMs for Explainable Plant Disease Diagnosis: From Benchmark Imagery to Real-World Robotic Field Validation2608.24934v3 · Ranjan Sapkota, Konstantinos I. Roumeliotis, Pengyao Xie et al.2026 · 0 citationsarXivon Valency
A Lightweight Multimodal Vision-Language Framework for Early-Stage Anatomical Green Fruit Classification in Commercial Orchards2608.24935v1 · Ranjan Sapkota, William Bu, Chen Chen et al.2026 · 0 citationsarXivon Valency
YOLOE-26: Integrating YOLO26 with YOLOE for Real-Time Open-Vocabulary Instance Segmentation2602.00168v1 · Ranjan Sapkota, Manoj Karkee2026 · 1 citationarXiv
Generalization vs. Specialization: Evaluating Segment Anything Model (SAM3) Zero-Shot Segmentation Against Fine-Tuned YOLO Detectors2512.11884v1 · Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee et al.2025 · 0 citationsarXiv
Ultralytics YOLO Evolution: An Overview of YOLO27, YOLO26, YOLO11, YOLOv8, and YOLOv5 Object Detectors for Computer Vision and Pattern Recognition2510.09653v4 · Ranjan Sapkota, Manoj Karkee2025 · 14 citationsarXiv
YOLO26: Key Architectural Enhancements and Performance Benchmarking for Real-Time Object Detection2509.25164v5 · Ranjan Sapkota, Rahul Harsha Cheppally, Ajay Sharda et al.2025 · 25 citationsarXiv
Object Detection with Multimodal Large Vision-Language Models: An In-depth Review2508.19294v2 · Ranjan Sapkota, Manoj Karkee2025 · 32 citationsInformation Fusion, 2025
Integrating Feature Selection and Machine Learning for Nitrogen Assessment in Grapevine Leaves using In-Field Hyperspectral Imaging2507.17869v3 · Atif Bilal Asad, Achyut Paudel, Safal Kshetri et al.2025 · 1 citationarXiv
Agentic AI with Orchestrator-Agent Trust: A Modular Visual Classification Framework with Trust-Aware Orchestration and RAG-Based Reasoning2507.10571v3 · Konstantinos I. Roumeliotis, Ranjan Sapkota, Manoj Karkee et al.2025 · 11 citationsarXiv
3D Reconstruction and Information Fusion between Dormant and Canopy Seasons in Commercial Orchards Using Deep Learning and Fast GICP2507.01912v1 · Ranjan Sapkota, Zhichao Meng, Martin Churuvija et al.2025 · 1 citationarXiv
Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact2507.00951v3 · Rizwan Qureshi, Ranjan Sapkota, Abbas Shah et al.2025 · 1 citationarXiv
UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs2506.08045v1 · Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee2025 · 3 citationsarXiv
TRiSM for Agentic AI: A Review of Trust, Risk, and Security Management in LLM-based Agentic Multi-Agent Systems2506.04133v5 · Shaina Raza, Ranjan Sapkota, Manoj Karkee et al.2025 · 54 citationsarXiv
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI2505.19443v1 · Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee2025 · 32 citationsarXiv
AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges2505.10468v5 · Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee2025 · 268 citationsInformation Fusion, 2025
Vision-Language-Action (VLA) Models: Concepts, Progress, Applications and Challenges2505.04769v2 · Ranjan Sapkota, Yang Cao, Konstantinos I. Roumeliotis et al.2025 · 2 citationsarXiv
Design, Integration, and Evaluation of a Dual-Arm Robotic System for High Throughput Tissue Sampling from Potato Tubers2505.00774v1 · Divyanth L.G., Syed Usama Bin Sabir, Divya Rathore et al.2025 · 0 citationsarXiv
Plant Disease Detection through Multimodal Large Language Models and Convolutional Neural Networks2504.20419v1 · Konstantinos I. Roumeliotis, Ranjan Sapkota, Manoj Karkee et al.2025 · 1 citationarXiv
A Review of 3D Object Detection with Vision-Language Models2504.18738v1 · Ranjan Sapkota, Konstantinos I Roumeliotis, Rahul Harsha Cheppally et al.2025 · 0 citationsarXiv
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 Ambiguity2504.13099v1 · Ranjan Sapkota, Rahul Harsha Cheppally, Ajay Sharda et al.2025 · 9 citationsarXiv
Comprehensive Analysis of Transparency and Accessibility of ChatGPT, DeepSeek, And other SoTA Large Language Models2502.18505v1 · Ranjan Sapkota, Shaina Raza, Manoj Karkee2025 · 26 citationsarXiv
Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey2501.18648v2 · Ranjan Sapkota, Shaina Raza, Maged Shoman et al.2025 · 3 citationsarXiv
Efficient detection of eyes on potato tubers using deep-learning for robotic high-throughput sampling.39748820 · Divyanth, L G, Khanal, Salik Ram, Paudel, Achyut et al.2025 · 10 citationsFrontiers in plant science. 2024;15:1512632
Integrating YOLO11 and Convolution Block Attention Module for Multi-Season Segmentation of Tree Trunks and Branches in Commercial Apple Orchards2412.05728v1 · Ranjan Sapkota, Manoj Karkee2024 · 2 citationsarXiv
Zero-Shot Automatic Annotation and Instance Segmentation using LLM-Generated Datasets: Eliminating Field Imaging and Manual Annotation for Deep Learning Model Development2411.11285v2 · Ranjan Sapkota, Achyut Paudel, Manoj Karkee2024 · 5 citationsarXiv
Comparing YOLOv11 and YOLOv8 for instance segmentation of occluded and non-occluded immature green fruits in complex orchard environment2410.19869v4 · Ranjan Sapkota, Manoj Karkee2024 · 11 citationsarXiv
YOLO11 and Vision Transformers based 3D Pose Estimation of Immature Green Fruits in Commercial Apple Orchards for Robotic Thinning2410.19846v3 · Ranjan Sapkota, Manoj Karkee2024 · 17 citationsarXiv
A vision-based robotic system for precision pollination of apples2409.19918v2 · Uddhav Bhattarai, Ranjan Sapkota, Safal Kshetri et al.2024 · 22 citationsComputers and Electronics in Agriculture, Volume 234, 2025
AgRegNet: A Deep Regression Network for Flower and Fruit Density Estimation, Localization, and Counting in Orchards2409.17400v2 · Uddhav Bhattarai, Santosh Bhusal, Qin Zhang et al.2024 · 24 citationsComputers and Electronics in Agriculture 227 (2024): 109534
Comprehensive Performance Evaluation of YOLOv12, YOLO11, YOLOv10, YOLOv9 and YOLOv8 on Detecting and Counting Fruitlet in Complex Orchard Environments2407.12040v8 · Ranjan Sapkota, Zhichao Meng, Martin Churuvija et al.2024 · 94 citationsarXiv
YOLO advances to its genesis: a decadal and comprehensive review of the You Only Look Once (YOLO) series2406.19407v8 · Ranjan Sapkota, Marco Flores Calero, Rizwan Qureshi et al.2024 · 370 citationsArtificial Intelligence Review, SpringerNature, 2025
Machine Vision-Based Assessment of Fall Color Changes and its Relationship with Leaf Nitrogen Concentration2404.14653v4 · Achyut Paudel, Jostan Brown, Priyanka Upadhyaya et al.2024 · 0 citationsarXiv
Comparing YOLOv8 and Mask R-CNN for instance segmentation in complex orchard environments2312.07935v4 · Ranjan Sapkota, Dawood Ahmed, Manoj Karkee2023 · 205 citationsArtificial Intelligence in Agriculture, 2025
Immature Green Apple Detection and Sizing in Commercial Orchards using YOLOv8 and Shape Fitting Techniques2401.08629v2 · Ranjan Sapkota, Dawood Ahmed, Martin Churuvija et al.2023 · 57 citationsarXiv
Robotic Pollination of Apples in Commercial Orchards2311.10755v3 · Ranjan Sapkota, Dawood Ahmed, Salik Ram Khanal et al.2023 · 12 citationsarXiv
Design, Modeling, and Control of a Low-Cost and Rapid Response Soft-Growing Manipulator for Orchard Operations2311.00197v1 · Ryan Dorosh, Justin Allen, Zixuan He et al.2023 · 5 citationsarXiv
Real-time Strawberry Detection Based on Improved YOLOv5s Architecture for Robotic Harvesting in open-field environment2308.03998v4 · Zixuan He, Salik Ram Khanal, Xin Zhang et al.2023 · 6 citationsarXiv
Machine Vision-Based Crop-Load Estimation Using YOLOv82304.13282v1 · Dawood Ahmed, Ranjan Sapkota, Martin Churuvija et al.2023 · 15 citationsarXiv
Machine Vision System for Early-stage Apple Flowers and Flower Clusters Detection for Precision Thinning and Pollination2304.09351v1 · Salik Ram Khanal, Ranjan Sapkota, Dawood Ahmed et al.2023 · 21 citationsarXiv
Design, Integration, and Field Evaluation of a Robotic Blossom Thinning System for Tree Fruit Crops2304.04919v2 · Uddhav Bhattarai, Qin Zhang, Manoj Karkee2023 · 24 citationsJournal of Field Robotics, 2024, 1-20
Swin-transformer-yolov5 For Real-time Wine Grape Bunch Detection2208.14508v3 · Shenglian Lu, Xiaoyu Liu, Zixaun He et al.2022 · 58 citationsarXiv
An autonomous robot for pruning modern, planar fruit trees2206.07201v1 · Alexander You, Nidhi Parayil, Josyula Gopala Krishna et al.2022 · 15 citationsarXiv
Actuating Force Required for Operating Various Controls of a Walk-Behind Type Paddy Transplanter Leading to Development of a Remotely Operated System.34350738 · Lohan, Shiv Kumar, Narang, Mahesh Kumar, Singh, Manjeet et al.2021 · 8 citationsJournal of agricultural safety and health. 2021;27(2):87-103
The Use of Agricultural Robots in Orchard Management1907.13114v1 · Qin Zhang, Manoj Karkee, Amy Tabb2019 · 53 citationsbook chapter in Robotics and automation for improving agriculture, J. Billingsley, Ed. Burleigh Dodds Science Publishing, 2019on Valency
A Study of Operator Performance for a Mechanical Sweet Cherry Harvester: Comparison between Manual and Remote-Controlled Operation.26373213 · Larbi, P A, Vong, C N, Karkee, M2015 · 0 citationsJournal of agricultural safety and health. 2015;21(3):145-57
Career total: 306 works. 46 are in this corpus.
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