Invited Speakers
· Ingela Nystrom (Sweden) BoneSplit - A 3D painting tool for interactive bone segmentation in CT images
· Vincenzo Piuri (Italy) Emerging biometric technologies for automated border control gates
· Luigi Gallo and Maria Frucci (Italy) Vision-based human-computer interaction in the operating theatre
· Vladimir Ryazanov (Russia) Search, processing and application of logical regularities of classes
· Vladimir Golovko (Belarus) Deep Neural Networks: A theory, application and new trends
· A.M. Andrianov and A.V. Tuzikov (Belarus) Computer-based technologies for virtual screening and analysis of chemical compounds promising for anti-HIV-1 drug design
Conference Program
TIME SCHEDULE PRIP’2016 |
Monday, October 3, 2016
9:30-13:00 |
Registration (room 302 FAM*, address see page 15) |
13:00-14:00 |
Lunch |
14:00-14:20 |
Opening of the conference (Conference Hall, Rectorat Building**) |
14:30-16:15 |
Plenary session P1 (Conference Hall, Rectorat Building**) |
16:15-16:30 |
Break |
16:30-18:00 |
Plenary session P2 (Conference Hall, Rectorat Building) |
19:00 |
Conference banquet (Rectorat Building**) |
Tuesday, October 4, 2016
10:00-13:00 |
A1 (room 319***, FPh) |
B1 (room 321***, FPh) |
13:00-15:00 |
Lunch |
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15:00-18:00 |
A2 (room 319***, FPh) |
B2 (room 321***, FPh) |
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Cultural program |
Wednesday, October 5, 2016
12:00-12:30 |
Closing ceremony (room 321***, FPh) |
15:00-17:00 |
Visits in Laboratories of BSU, BSEU, UIIP NASB |
*) FAM – The Faculty of Applied Mathematics and Computer Science (University campus)
**) Rectorat Building (University campus)
***) FPh – The Faculty of Physics (University campus)
Scientific program |
Opening of the conference |
1. Welcome words of the conference chairman Krasnoproshin V.
2. Welcome words of the chairman&rector of Belarusian State University Ablameyko S.
Monday, October3 |
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Session P1: KEYNOTE LECTIONS (Assembly Hall, Rectorat) |
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Chairman: Prof. Ablameyko S. |
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14:30-15:05 |
P1.1 |
Ingela Nystrom (Sweden) BoneSplit - A 3D painting tool for interactive bone segmentation in CT images |
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15:05-15:40 |
P1.2 |
Vincenzo Piuri (Italy) Emerging biometric technologies for automated border control gates |
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15:40-16:15 |
P1.3 |
Vladimir Ryazanov (Russia) Search, processing and application of logical regularities of classes |
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Monday, October3 |
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Session P2: KEYNOTE LECTIONS (Conference Hall, Rectorat Building) |
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Chairman: Prof. Krasnoproshin V. |
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16:30-17:00 |
P2.1 |
Luigi Gallo (Italy) Vision-based human-computer interaction in the operating theatre |
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17:00-17:30 |
P2.2 |
Vladimir Golovko (Belarus) Deep Neural Networks: A theory, application and new trends |
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17:30-18:00 |
P2.3 |
A.M. Andrianov (Belarus), A.V. Tuzikov (Belarus) Computer-based technologies for virtual screening and analysis of chemical compounds promising for anti-HIV-1 drug design |
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Tuesday, October 4 |
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Session A1: PATTERN RECOGNITION AND CLASSIFICATION&KNOWLEDGE - BASED EXPERT AND DECISION SUPPORT SYSTEM&APPLICATION OF PATTERN RECOGNITION (room 319, FPh) |
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Chairman: Prof. Starovoitov V. |
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10:00-10:15 |
A1.1 |
Dao Van Tuyet (Vietnam), Ablameyko S. (Belarus) A model for medical diagnostic laboratory traditional and multimedia medical database approach |
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10:15-10:30 |
A1.2 |
Dokukin A. (Russia) Classless logical regularities and outliers detection |
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10:30-10:45 |
A1.3 |
Doudkin A. (Belarus), Marushko Y. (Belarus) Ensembles of neural network for telemetry multivariate time series forecasting |
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10:45-11:00 |
A1.4 |
Kvet M. (Slovakia), Matiaško K. (Slovakia) Sensorical aspect of the temporal data architecture –pointer layer |
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11:00-11:15 |
A1.5 |
Novoselova N. (Belarus), Tom I. (Belarus) Semi-supervised clustering with active constraint selection |
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11:15-11:39 |
A1.6 |
Pobegailo A. (Belarus) Interpolating rational Bézier spline surfaces with local shape control |
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11:30-11:45 |
A1.7 |
Krasnoproshin V. (Belarus), Obraztsov V. (Belarus), Shut O. (Belarus) Novel approach to medical diagnostic: models, technology and systems |
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11:45-12:00 |
A1.8 |
Kondratenko G. (Ukraine), Kondratenko N. (Ukraine), Kondratenko Yu. (Ukraine) Fuzzy knowledge based system for planning and optimization of tanker-refueler routes |
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12:00-12:15 |
A1.9 |
Caballero A. (Spain), Gil-Lafuente J. (Spain), Solé Moro M. (Spain) Product Stock Management: “Calculating stock provision with Triangular Fuzzy Numbers” |
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12:15-12:30 |
A1.10 |
Zaitseva E. (Slovakia), Levashenko V. (Slovakia) Application of fuzzy decision trees in constriction of mathematical model for reliability analysis based on uncertain data |
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12:30-12:45 |
A1.11 |
Valvachev A. (Belarus), Krasnoproshin V. (Belarus), Mikhalchenko A. (Belarus) Decision support systems and plant phenomics |
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12:45-13:00 |
A1.12 |
Dziomin U. (Belarus), Golovko V. (Belarus), Stetter R. (Germany) Multi-agent control framework for multi-wheeled mobile platforms |
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Tuesday, October 4 |
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Session A2: PATTERN RECOGNITION AND CLASSIFICATION&KNOWLEDGE - BASED EXPERT AND DECISION SUPPORT SYSTEM&APPLICATION OF PATTERN RECOGNITION (room 319, FPh) |
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Chairman: Prof. Tuzikov A. |
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15:00-15:15 |
A2.1 |
Golovko V. (Belarus), Artsiomenka S. (Belarus), Kistsen V. (Belarus), Evstigneev V. (Belarus) Neural networks and largest Lyapunov exponent for automatic epileptic seizure detection in EEGs |
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15:15-15:30 |
A2.2 |
Galibus T. (Belarus), Julio C.S. dos Anjos J. (Brazil), Edison Pignaton de Freitas (Brazil), Cláudio F. Resin Geyer (Brazil), Gilles Fedak (Brazil), Rafael Tim ́Oteo de Sousa Jr. (Brazil), João Paulo C. L. Costa (Brazil), Rubem Pereira (Brazil), Fergus P. (The Netherland), Zaleski A. (Belarus), Vissia H. (The Netherland), Markl V. (The Netherland) Security Framework for Distributed Data Processing |
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15:30-15:45 |
A2.3 |
Liauchuk V. (Belarus), Kovalev V. (Belarus) Superpixel co-occurrence for quantitative description of biomedical images |
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15:45-16:00 |
A2.4 |
Manilo L. (Russia), Nemirko A. (Russia) Reduction of the spectral feature space dimension in the multiclass problem of ECG-signals recognition |
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16:00-16:15 |
A2.5 |
Nemirko A. (Russia) Reduction of feature space dimension based on separability criterion |
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16:15-16:30 |
A2.6 |
Malugin V. (Belarus), Babakhin Y. (Belarus) Classification and prediction of the gaming activity states in online-games based on the regime switching models |
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16:30-16:45 |
A2.7 |
Voloshko V. (Belarus), Medved E. (Belarus), Kharin Yu. (Belarus) Multiresolution statistical analysis of DNA |
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16:45-17:00 |
A2.8 |
Podenok L. (Belarus), Pertsev D. (Belarus) Hyperspectral data compression framework for earth remote sensing objectives |
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17:00-17:15 |
A2.9 |
Golovko V. (Belarus), Mikhno E. (Belarus), Brich A. (Belarus) A simple shallow convolutional neural network for accurate handwritten digit classification |
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17:15-17:30 |
A2.10 |
Krasnoproshin V. (Belarus), Rodchenko V. (Belarus) Recognition algorithms based on the cluster structures |
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17:30-17:45 |
A2.11 |
Bobkov A. (Belarus), Gafurov S. (Belarus), Krasnoproshin V. (Belarus), Vissia H. (The Netherland) Semantic-based approach to web information processing |
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17:45-18:00 |
A2.12 |
Karkanitsa A. (Belarus) Decision support system development based on high level architeture |
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Tuesday, October 4 |
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Session B1: IMAGE ANALYSIS&SIGNAL AND INFORMATION PROCESSING&3D IMAGE PROCESSING AND MODELING&APPLICATION OF IMAGE ANALYSIS (room 321, FPh) |
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Chairman: Prof. Doudkin A. |
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10:00-10:15 |
B1.1 |
Kalinovsky A. (Belarus), Kovalev V. (Belarus) Lung image segmentation using deep learning methods and convolutional neural networks |
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10:15-10:30 |
B1.2 |
Brancati N. (Italy), De Pietro G. (Italy), Frucci M. (Italy), Gallo L. (Italy) Dynamic clustering for skin detection in YCbCr colour space |
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10:30-10:45 |
B1.3 |
Kovalev V. (Belarus), Kalinovsky A. (Belarus), Kovalev S. (Belarus) Deep learning with theano, torch, caffe, tensorflow, and deeplearning4j: which one is the best in speed and accuracy? |
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10:45-11:00 |
B1.4 |
Frolov I. (Belarus), Samal D. (Belarus) Algorithm of preparation oftrainingsampleusing3d-modelingof faces |
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11:00-11:15 |
B1.5 |
Nikalaenka K. (Belarus), Hetsevich Y. (Belarus) Training algorithm for speaker-independent voice recognition systems using HTK |
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11:15-11:39 |
B1.6 |
Nedzvedz О. (Belarus), Ablameyko S. (Belarus), Belotserkovsky A. (Belarus) The algorithm for monitoring of evolution of stem cells |
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11:30-11:45 |
B1.7 |
Hancharou D. (Belarus), Nedzved A. (Belarus), Ablameyko S. (Belarus) Vascular structures extraction by background normalization |
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11:45-12:00 |
B1.8 |
Blazhko V. (Belarus), Kalinovsky A. (Belarus), Kovalev V. (Belarus) Unmanned Aerial Vehicle (UAV): back to base without satellite navigation |
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12:00-12:15 |
B1.9 |
Kovalev V. (Belarus), Snezhko E. (Belarus), Kharuzhyk S. (Belarus), Liauchuk V. (Belarus) Generalized gradient: basic principles and example application |
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12:15-12:30 |
B1.10 |
Ivanov A. (Russia), Assanovich B. (Belarus), Alexyuk D. (Belarus) Methods to reduce network load when transmitting computer images in real time |
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12:30-12:45 |
B1.11 |
Avakaw S. (Belarus), Doudkin A. (Belarus), Marushko Ya. (Belarus), Voronov A. (Belarus) Image stitching algorithm for description of integrated circuit layouts |
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12:45-13:00 |
B1.12 |
Starovoitov V. (Belarus) High dynamic range SAR image compression for visualization |
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Tuesday, October 4 |
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Session B2: IMAGE ANALYSIS&SIGNAL AND INFORMATION PROCESSING&3D IMAGE PROCESSING AND MODELING&APPLICATION OF IMAGE ANALYSIS (room 321, FPh) |
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Chairman: Prof. Golovko V. |
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15:00-15:15 |
B2.1 |
Assanovich B. (Belarus), Terre V. (Spain), Penaranda-Foix F. (Spain) Watermarking pattern recognition in channels with substitution and bursty insertion and deletion errors |
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15:15-15:30 |
B2.2 |
Sadykov S. (Russia), Kulkov Y. (Russia) Research of recognition of the imposed flat objects on dimensionless marks of their contours |
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15:30-15:45 |
B2.3 |
Kharinov M. (Russia) Reversible image merging for low-level machine vision |
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15:45-16:00 |
B2.4 |
Ashok Kumar Patel (India), Amit Kumar Gorai (India), Snehamoy Chatterjee (USA) Development of machine vision-based system for iron ore grade prediction using gaussian process regression (GPR) |
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16:00-16:15 |
B2.5 |
Holly Vo (USA), Abhishek Verma (USA) Identify Diabetic Retinopathy by Color Textures |
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16:15-16:30 |
B2.6 |
Thanh N.H. Dang (Vietnam), Dvoenko S. (Russia) A noise removal in color images |
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16:30-16:45 |
B2.7 |
Zakharoff A. (Russia) Artifacts: false contours detection and smoothing |
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16:45-17:00 |
B2.8 |
Krasnoproshin V. (Belarus), Mazouka D. (Belarus) Efficient organization of rendering process on graphics pipeline |
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17:00-17:15 |
B2.9 |
Dorogov A. (Russia) The method of allotment of competence areas for private classifiers |
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17:15-17:30 |
B2.10 |
Opanasenko V. (Ukraine), Kryvyi S. (Ukraine) Algorithms synthesis of the adaptive logical network on basis of universal logical elements |
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17:30-17:45 |
B2.11 |
Varlamov O. (Russia), Danilkin I. (Russia), Shoshev I. (Russia) Mivar technologies in knowledge representation and reasoning |
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17:45-18:00 |
B2.12 |
Donskoy V. (Russia) On the smart trees and competence areas based decision forest |
Session and presentation codes |
Session and presentation codes consist of three digits and identify all sessions uniquely: Td.n
T - stands for the conference section:
P - Keynote Lections
A - Pattern Recognition and Classification&Knowledge - Based Expert and Decision Support System&Application of Pattern Recognition
B - Image Analysis&Signal and Information Processing&3D Image Processing and Modeling&Application of Image Analysis
d - is the part of section: 1, 2 and so on.
n - indicates the numeric order of a presentation within a session.
Instruction to authors for oral presentation |
Speakers are requested to meet their session chairman 10 minutes before the session starts. The session rooms will be indicated in the booklet, which is included in your conference documents. Oral presentations are limited to 15 minutes for regular papers and include a few minutes for discussion. Speakers are urged to adhere to this limit and follow instructions from their session chairmen.
The lecturing halls will be equipped by a computer with projector.
Also, participants are invited to briefly present recent results not appearing in the official program.
List of authors |
Abhishek Verma |
B2.5 |
Ablameyko S. |
A1.1, B1.6, B1.7 |
Alexyuk D. |
B1.10 |
Amit Kumar Gorai |
B2.4 |
Andrianov A. |
P2.3 |
Artsiomenka S. |
A2.1 |
Ashok Kumar Patel |
B2.4 |
Assanovich B. |
B1.10, B2.1 |
Avakaw S. |
B1.11 |
Babakhin Y. |
A2.6 |
Belotserkovsky A. |
B1.6 |
Blazhko V. |
B1.8 |
Bobkov A. |
A2.11 |
Brancati N. |
B1.2 |
Brich A. |
A2. |
Caballero A. |
A1.9 |
Cláudio F. Resin Geyer |
A2.2 |
Danilkin I. |
B2.11 |
Dao Van Tuyet, |
A1.1 |
De Pietro G. |
B1.2 |
Dokukin A. |
A1.2 |
Donskoy V. |
B2.12 |
Dorogov A. |
B2.9 |
Doudkin A. |
A1.3, B1.11 |
Dvoenko S. |
B2.6 |
Dziomin U. |
A1.12 |
Edison Pignaton de Freitas |
A2.2 |
Evstigneev V. |
A2.1 |
Fergus P. |
A2.2 |
Frolov I. |
B1.4 |
Frucci M. |
B1.2 |
Gafurov S. |
A2.11 |
Galibus T. |
A2.2 |
Gallo L. |
P2.1, B1.2 |
Gil-Lafuente J. |
A1.9 |
Gilles Fedak |
A2.2 |
Golovko V. |
P2.2, A1.12, A2.1, A2.9 |
Hancharou D. |
B1.7 |
Hetsevich Y. |
B1.5 |
Holly Vo |
B2.5 |
Ingela Nystrom I. |
P1.1 |
Ivanov A. |
B1.10 |
João Paulo C. L. Costa |
A2.2 |
Julio C.S. dos Anjos J. |
A2.2 |
Kalinovsky A. |
B1.1, B1.3, B1.8 |
Karkanitsa A. |
A2.12 |
Kharin Yu. |
A2.7 |
Kharinov M. |
B2.3 |
Kharuzhyk S. |
B1.9 |
Kistsen V. |
A2.1 |
Kondratenko G. |
A1.8 |
Kondratenko N. |
A1.8 |
Kondratenko Yu. |
A1.8 |
Kovalev S. |
B1.3, A2.3, B1.1, B1.3, B1.8, B1.9 |
Krasnoproshin V. |
A1.7, A1.11, A2.10, A2.11, B2.8 |
Kryvyi S. |
B2.10 |
Kulkov Y. |
B2.2 |
Kvet M. |
A1.4 |
Levashenko V. |
A1.10 |
Liauchuk V. |
A2.3, B1.9 |
Malugin V. |
A2.6 |
Manilo L. |
A2.4 |
Markl V. |
A2.2 |
Marushko Y. |
A1.3 |
Marushko Ya. |
B1.11 |
Matiaško K. |
A1.4 |
Mazouka D. |
B2.8 |
Medved E. |
A2.7 |
Mikhalchenko A. |
A1.11 |
Mikhno E. |
A2. |
Nedzved A. |
B1.7 |
Nedzvedz О. |
B1.6 |
Nemirko A. |
A2.4, A2.5 |
Nikalaenka K. |
B1.5 |
Novoselova N. |
A1.5 |
Obraztsov V. |
A1.7 |
Opanasenko V. |
B2.10 |
Penaranda-Foix F. |
B2.1 |
Pertsev D. |
A2.8 |
Piuri V. |
P1.2 |
Pobegailo A. |
A1.6 |
Podenok L. |
A2.8 |
Rafael Tim ́Oteo de Sousa Jr. |
A2.2 |
Rodchenko V. |
A2.10 |
Rubem Pereira |
A2.2 |
Ryazanov V. |
P1.3 |
Sadykov S. |
B2.2 |
Samal D. |
B1.4 |
Shoshev I. |
B2.11 |
Shut O. |
A1.7 |
Snehamoy Chatterjee |
B2.4 |
Snezhko E. |
B1.9 |
Solé Moro M. |
A1.9 |
Starovoitov V. |
B1.12 |
Stetter R. |
A1.12 |
Terre V. |
B2.1 |
Thanh N.H. Dang |
B2.6 |
Tom I. |
A1.5 |
Tuzikov A. |
P2.3 |
Valvachev A. |
A1.11 |
Varlamov O. |
B2.11 |
Vissia H. |
A2.2, A2.11 |
Voloshko V. |
A2.7 |
Zaitseva E. |
A1.10 |
Zakharoff A. |
B2.7 |
Zaleski A. |
A2.2 |
Accepted papers
1. Mohd Amir, Kamna Yadav, Abhishek Jindal New fast content based skew detection algorithm for document images.
2. Krasnoproshin Viktor, Obraztsov Vladimir, Shut Olga Novel approach to medical diagnostic: models, technology and systems
3. Volodymyr Opanasenko. Sergei Kryvyi Algorithms synthesis of the adaptive logical network on basis of universal logical elements5.
4. Thanh N.H. Dang, Sergey D. Dvoenko A noise removal in color images
5. Dao Van Tuyet, Ablameyko S. A model for medical diagnostic laboratory traditional and multimedia medical database approach
6. Andrey Zakharoff Artifacts: False Contours Detection and Smoothing
7. Galyna V. Kondratenko, Nina Y. Kondratenko, Yuriy P. Kondratenko Fuzzy knowledge based system for planning and optimization of tanker-refueler routes
8. Alexander Kalinovsky, Vassili Kovalev Lung image segmentation using deep learning methods and convolutional neural networks
9. M. Kharinov Reversible image merging for low-level machine vision
10. Vassili Kovalev, Alexander Kalinovsky. Sergey Kovalev Deep learning with theano, torch, caffe, tensorflow, and deeplearning4j: which one is the best in speed and accuracy?
11. Vitali Liauchuk, Vassili Kovalev Superpixel co-occurrence for quantitative description of biomedical images
12. Dzmitry Zheludkovich, Vladimir Lutkovski Face changes detection algorithm for stress monitoring system
13. Nedzvedz Оlga, Ablameyko Sergey, Belotserkovsky Alexei The algorithm for monitoring of evolution of stem cells
14. D. Hancharou, A. Nedzved, S. Ablameyko Vascular structures extraction by background normalization
15. L. Manilo, A. Nemirko Reduction of the spectral feature space dimension in the multiclass problem of ECG-signals recognition
16. A. Nemirko Reduction of feature space dimension based on separability criterion
17. Varlamov O.O., Danilkin I.A., Shoshev I.A. Mivar technologies in knowledge representation and reasoning
18. Sonu Lamba, Neeta Nain A literature review on crowd scene analysis and monitoring
19. Stanislav Krasulin Vision-based 3D scene reconstruction for augmented reality applications in portable devices
20. Vladislav Blazhko, Alexander Kalinovsky, Vassili Kovalev Unmanned Aerial Vehicle (UAV): back to base without satellite navigation
21. Vladimir I. Donskoy On the smart trees and competence areas based decision forest
22. Vassili Kovalev, Eduard Snezhko, Siarhei Kharuzhyk, Vitali Liauchuk Generalized gradient: basic principles and example application
23. Alexander Dokukin Classless logical regularities and outliers detection
24. Ashok Kumar Patel, Amit Kumar Gorai Snehamoy Chatterjee Development of machine vision-based system for iron ore grade prediction using gaussian process regression (GPR)
25. Alexey Ivanov, Boris Assanovich, Dmitry Alexyuk Methods to Reduce Network Load when Transmitting Computer Images in Real Time
26. Boris Assanovich, Vicenc Almenar Terre, Felipe L. Penaranda-Foix Watermarking Pattern Recognition in Channels with Substitution and Bursty Insertion and Deletion Errors
27. N. Brancati, G. De Pietro, M. Frucci, L. Gallo Dynamic clustering for skin detection in YCbCr colour space
28. A.Yu. Dorogov The method of allotment of competence areas for private classifiers
29. Holly Vo, Abhishek Verma Identify Diabetic Retinopathy by Color Textures
30. Alexander Doudkin, Yauheni Marushko Ensembles Of Neural Network For Telemetry Multivariate Time Series Forecasting
31. V. Krasnoproshin, D. Mazouka Efficient organization of rendering process on graphics pipeline
32. Michal Kvet, Karol Matiaško Sensorical aspect of the temporal data architecture –pointer layer
33. Novoselova N.A., Tom I.E. Semi-supervised clustering with active constraint selection
34. Pobegailo A. P. Interpolating rational Bézier spline surfaces with local shape control
35. Leonid Podenok. Dmitry Pertsev Hyperspectral Data Compression Framework for Earth Remote Sensing Objectives
36. V.V. Krasnoproshin, V.G. Rodchenko Recognition Algorithms Based on the Cluster Structures
37. Bobkov A., Gafurov S., Krasnoproshin V., Vissia H. Semantic-Based Approach to Web Information Processing
38. Voloshko V.A., Medved E.A., Kharin Yu.S. Multiresolution Statistical Analysis of DNA
39. Sadykov S.S., Kulkov Y.Yu. Research of recognition of the imposed flat objects on dimensionless marks of their contours
40. Avakaw S., Doudkin A., Marushko Ya., Voronov A. Image stitching algorithm for description of integrated circuit layouts
41. Vladimir Golovko, Mikhno Egor. Aliaksandr Brich A simple shallow convolutional neural network for accurate handwritten digit
42. Valery Starovoitov High Dynamic Range SAR Image Compression for Visualization
43. A. Karkanitsa Decision Support System Development Based on High Level Architecture
44. V. Malugin, Y.Babakhin Classification and Prediction of the Gaming Activity States in Online-Games Based on the Regime Switching Models
45. Tatiana Galibus, Julio C.S. dos Anjos, Edison Pignaton de Freitas, Cláudio F. Resin Geyer, Gilles Fedak, Rafael Tim ́oteo de Sousa Jr., João Paulo C. L. Costa, Rubem Pereira, Paul Fergus, Anton Zaleski, Herman Vissia, Volker Markl Security Framework for Distributed Data Processing
46. Uladzimir Dziomin, Vladimir Golovko, Ralf Stetter Multi-agent control framework for multi-wheeled mobile platforms
47. Vladimir Golovko, Svetlana Artsiomenka, Volha Kistsen, Victor Evstigneev Neural Networks and Largest Lyapunov Exponent for Automatic Epileptic Seizure Detection in EEGs
48. Elena Zaitseva, Vitaly Levashenko Application of Fuzzy Decision Trees in Constriction of Mathematical Model for Reliability Analysis based on Uncertain Data
49. Valvachev, A. N., Krasnoproshin, V. V., Mikhalchenko, A.A Decision support systems and plant phenomics
in progress ....