Sugar beet

Evaluation of support vector machine and artificial neural networks in weed detection using shape features

Adel Bakhshipour, Abdolabbas Jafari

Citations: 326 • 2018

Tracking of row structure in three crops using image analysis

J.A. Marchant

Citations: 105 • 1996

Semi-supervised online visual crop and weed classification in precision farming exploiting plant arrangement

Philipp Lottes, Cyrill Stachniss

Citations: 50 • 2017

A comparison of seven innovative robotic weeding systems and reference herbicide strategies in sugar beet ( <i>Beta vulgaris subsp. vulgaris</i> L.) and rapeseed ( <i>Brassica napus</i> L.)

Roland Gerhards, Peter Risser, Michael Spaeth, Marcus Saile, Gerassimos G. Peteinatos

Citations: 42 • 2023

Sensor-Based Intrarow Mechanical Weed Control in Sugar Beets with Motorized Finger Weeders

Jannis Machleb, Gerassimos G. Peteinatos, Markus Sökefeld, Roland Gerhards

Citations: 42 • 2021

Smart Robotic Weed Control System for Sugar Beet

Kadir Sabancı, C. Aydi̇n

Citations: 31 • 2017

Robotic Seeding: Economic Perspectives

Søren Marcus Pedersen, Spyros Fountas, Claus Aage Grøn Sørensen, F.K. van Evert, Byron Blackmore

Citations: 28 • 2017

WeedNet-R: a sugar beet field weed detection algorithm based on enhanced RetinaNet and context semantic fusion

Zhiqiang Guo, Hui Hwang Goh, Xiuhua Li, Muqing Zhang, Yong Li

Citations: 28 • 2023

Sugarbeet yield response to competition from <i>Sinapis arvensis</i> or <i>Lolium perenne</i> growing at three different distances from the beet and removed at various times during early growth

T. Heisel, Christian Andreasen, Svend Christensen

Citations: 27 • 2002

Analysis and definition of the close-to-crop area in relation to robotic weeding

Michael Nørremark, Hans W. Griepentrog

Citations: 26 • 2004

Determination of Sugar Beet Leaf Spot Disease Level (Cercospora Beticola Sacc.) with Image Processing Technique by Using Drone

Mehmet Metin Özgüven

Citations: 25 • 2018

Influence of Mechanical and Intelligent Robotic Weed Control Methods on Energy Efficiency and Environment in Organic Sugar Beet Production

Indrė Bručienė, Domantas Aleliūnas, Egidijus Šarauskis, Kęstutis Romaneckas

Citations: 24 • 2021

Weeding Effectiveness and Changes in Soil Physical Properties Using Inter-Row Hoeing and a Robot

Indrė Bručienė, Sidona Buragienė, Egidijus Šarauskis

Citations: 23 • 2022

Autonomous Agricultural Robot – Testing of the Vision System for Plants/Weed Classification

M. Jasiński, J. Mączak, Przemysław Szulim, S. Radkowski

Citations: 11 • 2018

German sugar beet farmers’ intention to use autonomous field robots for seeding and weeding

Reinhard Uehleke, Michael Leyer, Silke Hüttel

Citations: 9 • 2024

BonnBeetClouds3D: A Dataset Towards Point Cloud-Based Organ-Level Phenotyping of Sugar Beet Plants Under Real Field Conditions

Elias Marks, Jonas Bömer, Federico Magistri, Anurag Sag, Jens Behley, Cyrill Stachniss

Citations: 6 • 2024

Combined application of life cycle assessment and neural network model for modeling energy and environmental emissions in sugar beet production

Imane Mehdi, Abdelhalim Chmarkhi, Mohammed Ammari, Laïla Ben Allal

Citations: 6 • 2024

Molecular breeding as the foundation for inducing resistance to biotic stresses in sugar beet

Peyman Norouzi, Abazar Rajabi, Heydar Azizi, Piergiorgio Stevanato

Citations: 5 • 2024

Robotic intra-row weed hoeing in maize and sugar beet

Roland Gerhards, Markus Sökefeld, Gerassimos G. Peteinatos, Adnan Nabout A, J. Maléř, Peter Risser

Citations: 4 • 2016

Mechanization of Weed Management in Sugar Beet

A. E. Ghaly, M. M. Ibrahim

Citations: 3 • 2022