Reference health

Hierarchical Graph Representation for Unsupervised Crop Row Detection In Images

https://doi.org/10.2139/ssrn.4149534
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29/29 checkable references clean · checked 2026-08-28

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

16 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 29 checked references that resolve
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CRowNet: Deep Network for Crop Row Detection in UAV Images
resolves10.1016/j.compag.2007.07.006
A vision based row detection system for sugar beet
resolves10.1007/s10846-019-01006-0
A UAV Guidance System Using Crop Row Detection and Line Follower Algorithms
resolves10.1016/j.compag.2010.12.011
Real-time image processing for crop/weed discrimination in maize fields
resolves10.1016/j.compag.2017.10.027
Weed detection in soybean crops using ConvNets
resolves10.1002/rob.21897
Automated crop plant detection based on the fusion of color and depth images for robotic weed control
resolves10.1016/j.compag.2007.06.003
Crop/weed discrimination in perspective agronomic images
resolves10.1007/s11119-005-6787-1
Automated Crop and Weed Monitoring in Widely Spaced Cereals
resolves10.1016/j.compag.2019.105203
Deep localization model for intra-row crop detection in paddy field
resolves10.1016/j.mcm.2010.11.030
Crop-row detection algorithm based on Random Hough Transformation
resolves10.1016/j.eswa.2014.10.033
Automatic detection of crop rows based on multi-ROIs
resolves10.1007/s11119-008-9086-9
Modelling agronomic images for weed detection and comparison of crop/weed discrimination algorithm performance
resolves10.1109/JPROC.2003.823141
Unscented Filtering and Nonlinear Estimation
resolves10.1016/j.compag.2018.10.006
Deep leaning approach with colorimetric spaces and vegetation indices for vine diseases detection in UAV images
resolves10.1016/j.biosystemseng.2004.12.008
A Stereovision-based Crop Row Detection Method for Tractor-automated Guidance
resolves10.1016/j.imavis.2006.02.004
Line cluster detection using a variant of the Hough transform for culture row localisation
resolves10.1145/3308558.3313461
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective
resolves10.1109/ACCESS.2020.2973756
A New Automatic Real-Time Crop Row Recognition Based on SoC-FPGA
resolves10.1002/rob.21901
Robust joint stem detection and crop‐weed classification using image sequences for plant‐specific treatment in precision farming
resolves10.1007/s11119-005-0681-8
Future Directions of Precision Agriculture
resolves10.1016/j.compag.2020.105766
Improved crop row detection with deep neural network for early-season maize stand count in UAV imagery
resolves10.1243/095440705X34667
Hough-transform-based vision algorithm for crop row detection of an automated agricultural vehicle
resolves10.1016/j.compag.2007.07.007
Stereo vision three-dimensional terrain maps for precision agriculture
resolves10.1016/j.compag.2014.02.009
Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV
resolves10.1016/j.patcog.2016.01.013
Crop row detection by global energy minimization
resolves10.5121/mlaij.2016.3103
A Survey on Similarity Measures in Text Mining
resolves10.1109/LRA.2018.2852841
Crop Row Detection on Tiny Plants With the Pattern Hough Transform
resolves10.1006/ciun.1993.1009
Randomized Hough Transform (RHT): Basic Mechanisms, Algorithms, and Computational Complexities
resolves10.1016/j.mechatronics.2004.05.005
A vision based row-following system for agricultural field machinery
The 16 references without a DOI — listed, not checked
no DOI — not checkedref1
no DOI — not checkedDeep learning based classification system for identifying weeds using high-resolution UAV imagery
no DOI — not checkedWeeds detection in UAV imagery using SLIC and the hough transform
no DOI — not checkedref9
no DOI — not checkedref12
no DOI — not checkedGraph convolutional networks for hyperspectral image classification
no DOI — not checkedref15
no DOI — not checkedref27
no DOI — not checkedHierarchical graph attention network for visual relationship detection
no DOI — not checkedref30
no DOI — not checkedref31
no DOI — not checkedWeed Mapping in Early-Season Maize Fields Using Object-Based Analysis of Unmanned Aerial Vehicle (UAV) Images
no DOI — not checkedref34
no DOI — not checkedref35
no DOI — not checkedWeedmap: a large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming
no DOI — not checkedHierarchical graph representation learning with differentiable pooling
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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