Articles citing this paper
SPICY: towards automated phenotyping of large pepper plants in the greenhouse
Gerie van der Heijden A E , Yu Song B , Graham Horgan C , Gerrit Polder A , Anja Dieleman A , Marco Bink A , Alain Palloix D , Fred van Eeuwijk A and Chris Glasbey B
+ Author Affiliations
- Author Affiliations
A Wageningen UR, Droevendaalsesteeg 1, 6708 PB, Wageningen, The Netherlands.
B BioSS, King’s Buildings, Edinburgh EH9 3JZ, UK.
C BioSS, Rowett Institute, Aberdeen AB21 9SB, UK.
D INRA, UR1052 GAFL, BP 94, F-84143 Montfavet cedex, France.
E Corresponding author. Email: gerie.vanderheijden@wur.nl
Functional Plant Biology 39(11) 870-877 https://doi.org/10.1071/FP12019
Submitted: 20 January 2012 Accepted: 2 April 2012 Published: 29 May 2012
72 articles found in Crossref database.
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Cohen Abigail Rae,
Chen Gerry,
Berger Eli Matthew,
Warrier Sushmita,
Lan Guanghui,
Grubert Emily,
Dellaert Frank, Chen Yongsheng
ACS ES&T Engineering. 2022 2(1). p.3
Image-based plant phenotyping with incremental learning and active contours
Minervini Massimo,
Abdelsamea Mohammed M., Tsaftaris Sotirios A.
Ecological Informatics. 2014 23 p.35
Finely-grained annotated datasets for image-based plant phenotyping
Minervini Massimo,
Fischbach Andreas,
Scharr Hanno, Tsaftaris Sotirios A.
Pattern Recognition Letters. 2016 81 p.80
Indoor and outdoor depth imaging of leaves with time-of-flight and stereo vision sensors: Analysis and comparison
Kazmi Wajahat,
Foix Sergi,
Alenyà Guillem, Andersen Hans Jørgen
ISPRS Journal of Photogrammetry and Remote Sensing. 2014 88 p.128
Flexible three-dimensional modeling of plants using low- resolution cameras and visual odometry
Santos Thiago T., Rodrigues Gustavo C.
Machine Vision and Applications. 2016 27(5). p.695
Establishment of 3D-scanned parametric model database of paprika (Capsicum annuum L.) with growth stage
Kim D.P.,
Kang W.H.,
Kim J.W.,
Kim J.H.,
Park K.S., Son J.E.
Acta Horticulturae. 2020 (1271). p.273
Yield Estimation of Chilli Crop using Image Processing Techniques
2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS) (2020)
Shape descriptors to characterize the shoot of entire plant from multiple side views of a motorized depth sensor
Chéné Yann,
Rousseau David,
Belin Étienne,
Garbez Morgan,
Galopin Gilles, Chapeau-Blondeau François
Machine Vision and Applications. 2016 27(4). p.447
Approaches in Integrative Bioinformatics (2014)
Sensing Approaches for Precision Agriculture (2021)
Automated Analysis of Barley Organs Using 3D Laser Scanning: An Approach for High Throughput Phenotyping
Paulus Stefan,
Dupuis Jan,
Riedel Sebastian, Kuhlmann Heiner
Sensors. 2014 14(7). p.12670
Stem localization of sweet-pepper plants using the support wire as a visual cue
Bac C.W.,
Hemming J., van Henten E.J.
Computers and Electronics in Agriculture. 2014 105 p.111
Synthetic bootstrapping of convolutional neural networks for semantic plant part segmentation
Barth R.,
IJsselmuiden J.,
Hemming J., Van Henten E.J.
Computers and Electronics in Agriculture. 2019 161 p.291
Sensing Technologies for Precision Phenotyping in Vegetable Crops: Current Status and Future Challenges
Tripodi Pasquale,
Massa Daniele,
Venezia Accursio, Cardi Teodoro
Agronomy. 2018 8(4). p.57
Leaf segmentation in plant phenotyping: a collation study
Scharr Hanno,
Minervini Massimo,
French Andrew P.,
Klukas Christian,
Kramer David M.,
Liu Xiaoming,
Luengo Imanol,
Pape Jean-Michel,
Polder Gerrit,
Vukadinovic Danijela,
Yin Xi, Tsaftaris Sotirios A.
Machine Vision and Applications. 2016 27(4). p.585
Automatic Phenotyping of Tomatoes in Production Greenhouses Using Robotics and Computer Vision: From Theory to Practice
Fonteijn Hubert,
Afonso Manya,
Lensink Dick,
Mooij Marcel,
Faber Nanne,
Vroegop Arjan,
Polder Gerrit, Wehrens Ron
Agronomy. 2021 11(8). p.1599
Simulating an Autonomously Operating Low-Cost Static Terrestrial LiDAR for Multitemporal Maize Crop Height Measurements
Crommelinck Sophie, Höfle Bernhard
Remote Sensing. 2016 8(3). p.205
Special issue in honour of Prof. Reto J. Strasser - Phenotyping with fast fluorescence sensors approximates yield component measurements in pepper (Capsicum annuum L.)
LENK S.,
DIELEMAN J.A.,
LEFEBVRE V.,
HEUVELINK E.,
MAGÁN J.J.,
PALLOIX A.,
VAN EEUWIJK F.A., BARÓCSI A.
Photosynthetica. 2020 58(SPECIAL ISSUE). p.622
Phenomics in Crop Plants: Trends, Options and Limitations (2015)
A Review of Imaging Techniques for Plant Phenotyping
Li Lei,
Zhang Qin, Huang Danfeng
Sensors. 2014 14(11). p.20078
Images carried before the fire: The power, promise, and responsibility of latent phenotyping in plants
Feldmann Mitchell J.,
Gage Joseph L.,
Turner‐Hissong Sarah D., Ubbens Jordan R.
The Plant Phenome Journal. 2021 4(1).
Structured Light-Based 3D Reconstruction System for Plants
Nguyen Thuy,
Slaughter David,
Max Nelson,
Maloof Julin, Sinha Neelima
Sensors. 2015 15(8). p.18587
Accessing the plant architecture in 3D for plant phenotyping - recent approaches and requirements
Precision agriculture ’19 (2019)
Data synthesis methods for semantic segmentation in agriculture: A Capsicum annuum dataset
Barth R.,
IJsselmuiden J.,
Hemming J., Henten E.J. Van
Computers and Electronics in Agriculture. 2018 144 p.284
SpaTemHTP: A Data Analysis Pipeline for Efficient Processing and Utilization of Temporal High-Throughput Phenotyping Data
Kar Soumyashree,
Garin Vincent,
Kholová Jana,
Vadez Vincent,
Durbha Surya S.,
Tanaka Ryokei,
Iwata Hiroyoshi,
Urban Milan O., Adinarayana J.
Frontiers in Plant Science. 2020 11
Automated estimation of leaf area development in sweet pepper plants from image analysis
Horgan Graham W.,
Song Yu,
Glasbey Chris A.,
van der Heijden Gerie W. A. M.,
Polder Gerrit,
Dieleman J. Anja,
Bink Marco C. A. M., van Eeuwijk Fred A.
Functional Plant Biology. 2015 42(5). p.486
(2015)
3D Surface Reconstruction of Plant Seeds by Volume Carving: Performance and Accuracies
Roussel Johanna,
Geiger Felix,
Fischbach Andreas,
Jahnke Siegfried, Scharr Hanno
Frontiers in Plant Science. 2016 7
3D Robotic System Development for High-throughput Crop Phenotyping
Zhang Chongyuan,
Gao Honghong,
Zhou Jianfeng,
Cousins Asaph,
Pumphrey Michael O., Sankaran Sindhuja
IFAC-PapersOnLine. 2016 49(16). p.242
Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms
Perez-Sanz Fernando,
Navarro Pedro J, Egea-Cortines Marcos
GigaScience. 2017 6(11).
Multi-trait and multi-environment QTL analyses of yield and a set of physiological traits in pepper
Alimi N. A.,
Bink M. C. A. M.,
Dieleman J. A.,
Magán J. J.,
Wubs A. M.,
Palloix A., van Eeuwijk F. A.
Theoretical and Applied Genetics. 2013 126(10). p.2597
An Approach to the Use of Depth Cameras for Weed Volume Estimation
Andújar Dionisio,
Dorado José,
Fernández-Quintanilla César, Ribeiro Angela
Sensors. 2016 16(7). p.972
Non‐destructive automatic leaf area measurements by combining stereo and time‐of‐flight images
Song Yu,
Glasbey Chris A.,
Polder Gerrit, van der Heijden Gerie W.A.M.
IET Computer Vision. 2014 8(5). p.391
Phenomics in Crop Plants: Trends, Options and Limitations (2015)
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Bohra Abhishek
The Scientific World Journal. 2013 2013 p.1
Estimating 3D Leaf and Stem Shape of Nursery Paprika Plants by a Novel Multi-Camera Photography System
Zhang Yu,
Teng Poching,
Shimizu Yo,
Hosoi Fumiki, Omasa Kenji
Sensors. 2016 16(6). p.874
Plant Omics (2022)
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ENSARİ Tolga,
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European Journal of Science and Technology. 2020 p.338
Cell to whole-plant phenotyping: the best is yet to come
Dhondt Stijn,
Wuyts Nathalie, Inzé Dirk
Trends in Plant Science. 2013 18(8). p.428
NGS-Based Genotyping, High-Throughput Phenotyping and Genome-Wide Association Studies Laid the Foundations for Next-Generation Breeding in Horticultural Crops
D’Agostino Nunzio, Tripodi Pasquale
Diversity. 2017 9(3). p.38
Automatic fruit recognition and counting from multiple images
Song Y.,
Glasbey C.A.,
Horgan G.W.,
Polder G.,
Dieleman J.A., van der Heijden G.W.A.M.
Biosystems Engineering. 2014 118 p.203
Crop Phenomics and High-Throughput Phenotyping: Past Decades, Current Challenges, and Future Perspectives
Yang Wanneng,
Feng Hui,
Zhang Xuehai,
Zhang Jian,
Doonan John H.,
Batchelor William David,
Xiong Lizhong, Yan Jianbing
Molecular Plant. 2020 13(2). p.187
Measuring crops in 3D: using geometry for plant phenotyping
Paulus Stefan
Plant Methods. 2019 15(1).
Application of high-throughput phenotyping tool Tomato Analyzer to characterize Balkan Capsicum fruit diversity
Nankar Amol N.,
Tringovska Ivanka,
Grozeva Stanislava,
Todorova Velichka, Kostova Dimitrina
Scientia Horticulturae. 2020 260 p.108862
Microbial Genomics in Sustainable Agroecosystems (2019)
Stress Tolerance in Horticultural Crops (2021)
Recent developments and potential of robotics in plant eco-phenotyping
Jez Joseph M.,
Topp Christopher N.,
Yao Lili,
van de Zedde Rick, Kowalchuk George
Emerging Topics in Life Sciences. 2021 5(2). p.289
Using a system of differential equations that models cattle growth to uncover the genetic basis of complex traits
Freua Mateus Castelani,
Santana Miguel Henrique de Almeida,
Ventura Ricardo Vieira,
Tedeschi Luis Orlindo, Ferraz José Bento Sterman
Journal of Applied Genetics. 2017 58(3). p.393
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Putra Bayu Taruna Widjaja,
Soni Peeyush,
Marhaenanto Bambang,
Pujiyanto ,
Sisbudi Harsono Soni, Fountas Spyros
Information Processing in Agriculture. 2020 7(1). p.109
Optimizing experimental procedures for quantitative evaluation of crop plant performance in high throughput phenotyping systems
Junker Astrid,
Muraya Moses M.,
Weigelt-Fischer Kathleen,
Arana-Ceballos Fernando,
Klukas Christian,
Melchinger Albrecht E.,
Meyer Rhonda C.,
Riewe David, Altmann Thomas
Frontiers in Plant Science. 2015 5
Nitrogen use efficiency in rapeseed. A review
Bouchet Anne-Sophie,
Laperche Anne,
Bissuel-Belaygue Christine,
Snowdon Rod,
Nesi Nathalie, Stahl Andreas
Agronomy for Sustainable Development. 2016 36(2).
CBM: An IoT Enabled LiDAR Sensor for In-Field Crop Height and Biomass Measurements
Banerjee Bikram Pratap,
Spangenberg German, Kant Surya
Biosensors. 2021 12(1). p.16
Robust node detection and tracking in fruit-vegetable crops using deep learning and multi-view imaging
Boogaard Frans P.,
Rongen Kamiel S.A.H., Kootstra Gert W.
Biosystems Engineering. 2020 192 p.117
Phenotyping plants: genes, phenes and machines
Pieruschka Roland, Poorter Hendrik
Functional Plant Biology. 2012 39(11). p.813
Future Scenarios for Plant Phenotyping
Fiorani Fabio, Schurr Ulrich
Annual Review of Plant Biology. 2013 64(1). p.267
Computer Vision - ECCV 2014 Workshops (2015)
A new approach for applied nutritional models: Computing parameters of dynamic mechanistic growth models using genome-wide prediction
Freua Mateus Castelani,
Santana Miguel Henrique de Almeida, Ferraz José Bento Sterman
Livestock Science. 2016 190 p.131
OPEN leaf: an open‐source cloud‐based phenotyping system for tracking dynamic changes at leaf‐specific resolution in Arabidopsis
Swartz Landon G.,
Liu Suxing,
Dahlquist Drew,
Kramer Skyler T.,
Walter Emily S.,
McInturf Samuel A.,
Bucksch Alexander, Mendoza‐Cózatl David G.
The Plant Journal. 2023 116(6). p.1600
Digitization and Visualization of Greenhouse Tomato Plants in Indoor Environments
Li Dawei,
Xu Lihong,
Tan Chengxiang,
Goodman Erik,
Fu Daichang, Xin Longjiao
Sensors. 2015 15(2). p.4019
Crop Systems Biology (2016)
Phenoliner: a multi-sensor field phenotyping platform
Kicherer A.,
Herzog K.,
Bendel N.,
Klück H.C.,
Backhaus A.,
Wieland M.,
Rose J.C.,
Klingbeil L.,
Kuhlmann H.,
Seiffert U., Töpfer R.
Acta Horticulturae. 2019 (1248). p.257
Semantic mapping for orchard environments by merging two‐sides reconstructions of tree rows
Dong Wenbo,
Roy Pravakar, Isler Volkan
Journal of Field Robotics. 2020 37(1). p.97
Modeling Dormant Fruit Trees for Agricultural Automation
Medeiros Henry,
Kim Donghun,
Sun Jianxin,
Seshadri Hariharan,
Akbar Shayan Ali,
Elfiky Noha M., Park Johnny
Journal of Field Robotics. 2017 34(7). p.1203
Wheat Height Estimation Using LiDAR in Comparison to Ultrasonic Sensor and UAS
Yuan Wenan,
Li Jiating,
Bhatta Madhav,
Shi Yeyin,
Baenziger P., Ge Yufeng
Sensors. 2018 18(11). p.3731
Agricultural Biotechnology: Latest Research and Trends (2021)
Plant trait measurement in 3D for growth monitoring
Paturkar Abhipray,
Sen Gupta Gourab, Bailey Donald
Plant Methods. 2022 18(1).
Machine vision based plant height estimation for protected crop facilities
Jayasuriya Namal,
Guo Yi,
Hu Wen, Ghannoum Oula
Computers and Electronics in Agriculture. 2024 218 p.108669
A Hybrid Cable-Driven Robot for Non-Destructive Leafy Plant Monitoring and Mass Estimation using Structure from Motion
2023 IEEE International Conference on Robotics and Automation (ICRA) (2023)
Plant phenotyping: from bean weighing to image analysis
Walter Achim,
Liebisch Frank, Hund Andreas
Plant Methods. 2015 11(1). p.14
Information and Communication Technologies for Agriculture—Theme III: Decision (2022)
Validation of plant part measurements using a 3D reconstruction method suitable for high-throughput seedling phenotyping
Golbach Franck,
Kootstra Gert,
Damjanovic Sanja,
Otten Gerwoud, van de Zedde Rick
Machine Vision and Applications. 2016 27(5). p.663
Machine learning in plant science and plant breeding
van Dijk Aalt Dirk Jan,
Kootstra Gert,
Kruijer Willem, de Ridder Dick
iScience. 2021 24(1). p.101890
