Weed Detection

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Overview

Weed detection studies how to locate or segment weeds in field images so farmers and agricultural robots can monitor crops and target treatment. Common approaches include YOLO and RT-DETR object detectors, U-Net and transformer-based segmentation, and pretrained vision models such as DINO; RGB, multispectral, and visible–near-infrared imagery are used in ground and UAV settings. Benchmarks increasingly test performance across crop types, seasons, fields, and camera platforms, where domain shifts can sharply reduce accuracy and modest target-field annotation can help. A central challenge is balancing reliable detection and generalization against the latency, memory, and power limits of edge devices and farm machinery.

Latest papers

CardsList

13 papers1 paper in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

  1. Multi-Speed Field Evaluation of a Semi-Autonomous Precision Sprayer for Weed Control in Vegetable Crops

    Oct 17, 2026Md Khairul Islam, Boyang Deng, Yuzhen Lu +2Precision AgricultureAgricultural Robotics

    Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824, USA · Department of Horticulture, Michigan State University, East Lansing, MI 48824, USA

  2. A Multi-Dataset Benchmark of YOLO-Based Weed Detection in Precision Agriculture

    Sep 27, 2026Hristina Zdraveska, Vlatko Spasev, Ivica Dimitrovski +2Multi-Source Domain AdaptationWeed Detection

    Faculty of Computer Science and Engineering, University Ss Cyril and Methodius, Rudzer Boshkovikj 16, P.O. 393, Skopje, 1000, North Macedonia

  3. On the Transferability of Agricultural Weed Detection Under Cross-Field Distribution Shift

    Aug 21, 2026Nikhilesh Prabhakar, Pranuthi Tenali, Wilfredo Abudeye Fernandez +5Weed DetectionCross-Dataset Generalization

    The University of Texas at Dallas · The University of Texas at Tyler · Air Force Research Lab

  4. Autonomous Agricultural Tractor: Integrated Weed Detection and LiDAR Navigation for Precision Paddy Farming

    Aug 19, 2026Benjamin Merryman-Smith, Tony Nguyen, Bilal Dogutas +3Agricultural RoboticsPrecision Agriculture

    Department of Computing and Software Engineering Florida Gulf Coast University, Fort Myers, FL 33965, USA

  5. TS-MAMP: A Remanufactured Agricultural Robot with Second-Life EV Components and NMS-Free On-Device Weed Detection

    Aug 3, 2026Weijie Shi, Zicheng Xu, Zhenbang Cheng +3Weed DetectionObject Detection

    School of Mechanical and Automotive Engineering, West Anhui University, Lu'an, 237000, China · School of Automation, Nanjing University of Information Science and Technology, Nanjing, 210000, China · School of Engineering, Westlake University, Hangzhou, 310030, China

  6. WeedExpert-R1: Incentivizing Botanical Reasoning in MLLMs with Reinforcement Learning for Precision Weed Grounding

    Jul 17, 2026Zonglin Yang, Wei-Zhen Liang, Nevin Lawrence +4Open-Vocabulary Object DetectionWeed Detection

    aDepartment of Biological Systems Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA · bPanhandle Research and Extension Center, University of Nebraska-Lincoln, Scottsbluff, NE, USA · cDepartment of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, USA +1

  7. USU-Corn-WeedDB: A UAV RGB Image Dataset for Multi-Species Weed Detection in Forage Corn

    Jun 4, 2026Utsav Bhandari, Saroj Burlakoti, Rhonda Miller +3Agricultural Image AnalysisWeed Detection

    Department of Applied Sciences, Technology, and Education, Utah State University, Logan, UT, USA · Department of Plants, Soils & Climate, Utah State University, Logan, UT, USA · Department of Civil and Environmental Engineering, Utah State University, Logan, UT, USA

  8. Evaluation of Convolutional and Transformer-Based Detectors for Weed Detection in Tomato Plantations

    Apr 29, 2026Alcides Toledo Espinosa, Gerardo Antonio Álvarez Hernández, Ángel Eduardo Zamora-Suárez +2Agricultural Image AnalysisWeed Detection

    Instituto Politécnico Nacional · CIDETEC-IPN · Mexico City, Mexico +1

  9. Towards Robust Deep Learning-based Rumex Obtusifolius Detection from Drone Images

    Apr 28, 2026Fabian Dionys Schrag, Mehmet Ozgur Turkoglu, Konrad Schindler +1Unsupervised Domain AdaptationAgricultural Remote Sensing

    Agroscope NBA, Tänikon 1, Ettenhausen, 8356, TG, Switzerland · Agroscope Earth Observation of Agroecosystems Team, Reckenholz 191, Zurich, 8046, ZH, Switzerland · ETH Zurich, Stefano-Franscini-Platz 5, Zurich, 8093, ZH, Switzerland

  10. Resource-Constrained UAV-Based Weed Detection for Site-Specific Management on Edge Devices

    Apr 25, 2026Linyuan Wang, Haibo Yao, Te-Ming Tseng +4Agricultural Remote SensingWeed Detection

    Department of Agricultural and Biological Engineering, Mississippi State University, Mississippi State, MS, USA · USDA-ARS, Genetics and Sustainable Agriculture Research Unit, Mississippi State, MS, USA · Department of Plant and Soil Sciences, Mississippi State University, Mississippi State, MS, USA +2

  11. SWNet: A Cross-Spectral Network for Camouflaged Weed Detection

    Apr 17, 2026Henry O. Velesaca, Luigi Miranda, Angel D. SappaAgricultural Image AnalysisWeed Detection

    ESPOL Polytechnic University, Campus Gustavo Galindo, 090902, Guayaquil, Ecuador · Software Engineering Department, Research Center for Information and Communication Technologies (CITIC-UGR), University of Granada, 18071, Granada, Spain · Computer Vision Center, Universitat Aut`onoma de Barcelona, 08193-Bellaterra, Barcelona, Spain

  12. A Parameter-efficient Convolutional Approach for Camouflaged Weed Detection in Multispectral Aerial Imagery

    Feb 28, 2026Leo Thomas Ramos, Angel D. SappaWeed DetectionCamouflaged Object Detection

    Computer Vision Center · Universitat Aut`onoma de Barcelona · ESPOL Polytechnic University

  13. DINOv3 Meets YOLO26 for Weed Detection in Vegetable Crops

    Feb 25, 2026Boyang Deng, Yuzhen LuWeed DetectionPrecision Agriculture

    Department of Biosystems & Agricultural Engineering, Michigan State University East Lansing, MI 48824