weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming

11 September 2017

Roland Siegwart

Papers citing "weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming"

20 / 20 papers shown

Title
Multispectral Remote Sensing for Weed Detection in West Australian Agricultural Lands Haitian Wang Muhammad Ibrahim Yumeng Miao D ustin Severtson A. Mansoor Ajmal Saeed Mian 47 0 0 12 Feb 2025
Exploiting Boundary Loss for the Hierarchical Panoptic Segmentation of Plants and Leaves Madeleine Darbyshire Elizabeth I. Sklar Simon Parsons 48 0 0 03 Jan 2025
Collision-Aware Traversability Analysis for Autonomous Vehicles in the Context of Agricultural Robotics Florian Philippe Johann Laconte Pierre-Jean Lapray Matthias Spisser Jean-Philippe Lauffenburger 31 0 0 04 Oct 2024
Shape and Style GAN-based Multispectral Data Augmentation for Crop/Weed Segmentation in Precision Farming Mulham Fawakherji Vincenzo Suriani Daniele Nardi D. Bloisi 23 11 0 19 Jul 2024
Wild Berry image dataset collected in Finnish forests and peatlands using drones Luigi Riz Sergio Povoli Andrea Caraffa Davide Boscaini M. L. Mekhalfi ... Elisa Castelli Giacomo Piccinini L. Marchesotti Micael S. Couceiro Fabio Poiesi 29 1 0 13 May 2024
Lessons Learned Report: Super-Resolution for Detection Tasks in Engineering Problem-Solving Martin Feder M. Horovitz Assaf Chen R. Linker O. M. Shir SupR 19 0 0 01 Mar 2023
Transferring learned patterns from ground-based field imagery to predict UAV-based imagery for crop and weed semantic segmentation in precision crop farming Junfeng Gao Wenzhi Liao D. Nuyttens P. Lootens Erik Alexandersson J. Pieters 11 4 0 20 Oct 2022
Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles with Label Propagation for Cross-Domain Adaptation S. Bultmann Jan Quenzel Sven Behnke 29 18 0 18 Oct 2022
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review E. Olaniyi Dong Chen Yuzhen Lu Ya-Yu Huang 21 38 0 10 Apr 2022
Cognitive factors that affect the adoption of autonomous agriculture S. Devitt 16 15 0 28 Nov 2021
Vision Transformers For Weeds and Crops Classification Of High Resolution UAV Images Reenul Reedha Eric Dericquebourg R. Canals A. Hafiane ViT 17 113 0 06 Sep 2021
Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detection S. Butte Aleksandar Vakanski K. Duellman Haotian Wang Amin Mirkouei 16 48 0 14 Jun 2021
Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress from Aerial Imagery Saba Dadsetan David Pichler David Wilson N. Hovakimyan Jennifer Hobbs 39 6 0 20 Apr 2021
Fully Onboard AI-powered Human-Drone Pose Estimation on Ultra-low Power Autonomous Flying Nano-UAVs Daniele Palossi Nicky Zimmerman Alessio Burrello Francesco Conti H. Müller L. Gambardella Luca Benini Alessandro Giusti Jérôme Guzzi 14 51 0 19 Mar 2021
A Survey of Deep Learning Techniques for Weed Detection from Images A. S. M. Mahmudul Hasan Ferdous Sohel D. Diepeveen Hamid Laga Michael G. K. Jones 23 304 0 02 Mar 2021
Weed Density and Distribution Estimation for Precision Agriculture using Semi-Supervised Learning Shantam Shorewala Armaan Ashfaque R. Sidharth Ujjwal Verma 13 66 0 04 Nov 2020
SLAM in the Field: An Evaluation of Monocular Mapping and Localization on Challenging Dynamic Agricultural Environment Fangwen Shu Paul Lesur Yaxu Xie A. Pagani D. Stricker 24 25 0 02 Nov 2020
Real-Time Apple Detection System Using Embedded Systems With Hardware Accelerators: An Edge AI Application Vittorio Mazzia Francesco Salvetti Aleem Khaliq Marcello Chiaberge 20 152 0 28 Apr 2020
The Rosario Dataset: Multisensor Data for Localization and Mapping in Agricultural Environments Taihú Pire Martín Mujica Javier Civera E. Kofman 6 79 0 17 Sep 2018
An informative path planning framework for UAV-based terrain monitoring Marija Popović Teresa Vidal-Calleja Gregory Hitz Jen Jen Chung Inkyu Sa Roland Siegwart Juan I. Nieto 15 136 0 08 Sep 2018