Jordi Gené-Mola

Jordi Gené-Mola

Investigador Margarita Salas

Scopus Author ID: 57200188325
Researcher ID: V-6809-2018
Àrea de coneixement : Construccions Arquitectòniques

Grup de Recerca: Grup de Recerca en AgròTICa i Agricultura de Precisió (GRAP)

Informació de contacte
Ciència i Enginyeria Forestal i Agrícola
Universitat de Lleida, Edifici CREA, C/Pere de Cabrera, s/n
+34 973703332
jordi.genemola(a)udl.cat

Publicacions en revistes

Rosell-Polo JR, Gregorio E, Gené J, Llorens J, Torrent X, Arnó J, Escolà A. (2017). Kinect v2 sensor-based mobile terrestrial laser scanner for agricultural outdoor applications. IEEE-Asme Transactions on Mechatronics, 22(6), pp. 2420 - 2427 . Repositori Institucional . ISSN: 1083-4435
Gregorio E; Gené J; Sanz R; Rocadenbosch F; Chueca P; Arnó J; Solanelles J; Rosell-Polo JR (2018). Polarization lidar detection of agricultural aerosols. Journal Of Sensors, 2018, pp. 1 - 9 . Repositori Institucional . ISSN: 1687-725X
Gené J; Vilaplana V; Rosell-Polo JR; Morros JR; Ruiz-Hidalgo J; Gregorio E (2019). Multi-modal deep learning for Fuji apple detection using RGB-D cameras and their radiometric capabilities. Computers and Electronics in Agriculture, 162, pp. 689 - 698 . Repositori Institucional . ISSN: 0168-1699
Gené J; Vilaplana V; Rosell-Polo JR; Morros JR; Ruiz-Hidalgo J; Gregorio E (2019). KFuji RGB-DS database: Fuji apple multi-modal images for fruit detection with color, depth and range-corrected IR data. Data in Brief, 25(104289), pp. 1 - 5 . Repositori Institucional . ISSN: 2352-3409
Gené J; Gregorio E; Guevara J; Auat F; Sanz-Cortiella R; Escolà A; Llorens J; Morrós JR; Ruiz-Hidalgo J; Vilaplana V; Rosell-Polo JR (2019). Fruit detection in an apple orchard using a mobile terrestrial laser scanner. Biosystems Engineering, 187, pp. 171 - 184 . Repositori Institucional . ISSN: 1537-5110
Gené-Mola J; Gregorio E; Auat Cheein F; Guevara J; Llorens J; Sanz-Cortiella R; Escolà R; Rosell-Polo JR (2020). Fruit detection, yield prediction and canopy geometric characterization using LiDAR with forced air flow. Computers and Electronics in Agriculture, 168(105121) . Repositori Institucional . ISSN: 0168-1699
Gené-Mola, J.; Sanz-Cortiella, R.; Rosell-Polo, J.R.; Morros, J.R.; Ruiz-Hidalgo, J.; Vilaplana, V.; Gregorio, E. (2020). Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry. Computers and Electronics in Agriculture, 169(105165) . Repositori Institucional . ISSN: 0168-1699
Jordi Gené Mola; Eduard Gregorio López; Joan Ramon Rosell-Polo (2020). Cómo la inteligencia artificial nos ayuda a contar manzanas. The Conversation . Repositori Institucional . ISSN: 2201-5639
Gené-Mola J; Gregorio E; Auat F; Guevara J; Llorens J; Sanz-Cortiella R; Escolà A; Rosell-Polo JR (2020). LFuji-air dataset: Annotated 3D LiDAR point clouds of Fuji apple trees for fruit detection scanned under different forced air flow conditions. Data in Brief, 29(105248), pp. 1 - 7 . Repositori Institucional . ISSN: 2352-3409
Guevara, J.; Auat Cheein, F.A.; Gené Mola, J.; Rosell Polo, J.R.; Gregorio, E. (2020). Analyzing and overcoming the effects of GNSS error on LiDAR based orchard parameters estimation. Computers and Electronics in Agriculture, 170(105255), pp. 1 - 10 . Repositori Institucional . ISSN: 0168-1699
Jordi Gené Mola; Ricardo Sanz Cortiella; Joan R. Rosell Polo; Josep Ramon Morros; Javier Ruiz Hidalgo; Verónica Vilaplana; Eduard Gregorio (2020). Fuji-SfM dataset: A collection of annotated images and point clouds for Fuji apple detection and location using structure-from-motion photogrammetry. Data in Brief, 30(105591) . Repositori Institucional . ISSN: 2352-3409
Jordi Gené-Mola; Jordi Llorens; Joan R. Rosell-Polo; Eduard Gregorio; Jaume Arnó; Francesc Solanelles; José A. Martínez-Casasnovas; Alexandre Escolà (2020). Assessing the Performance of RGB-D Sensors for 3D Fruit Crop Canopy Characterization under Different Operating and Lighting Conditions. Sensors, 20(7072) . Repositori Institucional . ISSN: 1424-8220
Guevara, J.; Gené Mola, J.; Gregorio, E.; Torres Torriti, M.; Reina, G.; Auat Cheein, F.A. (2021). Comparison of 3D scan matching techniques for autonomous robot navigation in urban and agricultural environments. Journal Of Applied Remote Sensing, 16 (2), p. 024508 . Repositori Institucional . ISSN: 1931-3195
Gené Mola, J.; Sanz Cortiella, R.; Rosell Polo, J.R.; Escolà, A.; Gregorio, E. (2021). In-field apple size estimation using photogrammetry-derived 3D point clouds: Comparison of 4 different methods considering fruit occlusions. Computers and Electronics in Agriculture, 188(106343) . Repositori Institucional . ISSN: 0168-1699
Guevara, J.; Gené Mola, J.; Gregorio, E.; Auat Cheein, F.A. (2021). 3D Spectral Graph Wavelet Point Signatures in Pre-Processing Stage for Mobile Laser Scanning Point Cloud Registration in Unstructured Orchard Environments. IEEE Sensors Journal . Repositori Institucional . ISSN: 1530-437X
Gené Mola, J.; Sanz Cortiella, R.; Rosell Polo, J.R.; Escolà, A.; Gregorio, E. (2021). PFuji-Size dataset: A collection of images and photogrammetry-derived 3D point clouds with ground truth annotations for Fuji apple detection and size estimation in field conditions. Data in Brief, 39(107629) . Repositori Institucional . ISSN: 2352-3409
Marrewijk, B.; Vroegindeweij, B.; Gené Mola, J.; Mencarelli, A.; Hemming, J.; Mayer, N.; Wenger, M.; Kootstra, G. (2021). Evaluation of a boxwood topiary trimming robot. Biosystems Engineering, 214, pp. 11 - 27 . Repositori Institucional . ISSN: 1537-5110
Miranda, J.C.; Gené Mola, J.; Arnó, J.; Gregorio, E. (2022). AKFruitData: A dual software application for Azure Kinect cameras to acquire and extract informative data in yield tests performed in fruit orchard environments. Softwarex, 20(101231) . Repositori Institucional . ISSN: 2352-7110
Gene Mola, Jordi; Ferrer Ferrer, Mar; Gregorio, Eduard; Blok, Pieter M.; Hemming, Jochen; Morros, Josep Ramon; Rosell Polo, Joan R.; Vilaplana, Veronica; Ruiz Hidalgo, Javier (2023). Looking behind occlusions: A study on amodal segmentation for robust on-tree apple fruit size estimation. Computers and Electronics in Agriculture, 209(107854) . Repositori Institucional . ISSN: 0168-1699
Ferrer Ferrer, M.; Ruiz Hidalgo, J.; Gregorio, E.; Vilaplana, V.; Morros, J.R.; Gené Mola, J. (2023). Simultaneous fruit detection and size estimation using multitask deep neural networks. Biosystems Engineering, 233, pp. 63 - 75 . ISSN: 1537-5110

Participacions a Congressos

Gené-Mola, J.; Gregorio, E.; Guevara, J.; Auat, F.; Escolà, A.; Morros, J.R.; Rosell-Polo, J.R.; (2018). Fruit detection using Mobile Terrestrial Laser Scanning. (Presentació Comunicació) . EurAgEng 2018 conference . Wageningen . PAÏSOS BAIXOS
Gené-Mola, J. (2018). Fruit Detection and Localization from RGB-D Sensors. (Presentació Comunicació) . Annual Catalan Meeting on Computer Vision (ACMCV'18) . Barcelona . ESPANYA
Gené-Mola, J; Gregorio, E.; Llorens, J.; Sanz-Cortiella, R.; Escolà, A.; Rosell-Polo, J.R. (2019). Yield prediction using mobile terrestrial laser scanning. (Póster) . 12th European Conference on Precision Agriculture - ECPA 2019 . Poster Proceedings of the 12th European Conference on Precision Agriculture, July 8-11, Montpellier, France. e-book publication. SupAgro Montpellier. ISBN 978-2-900792-49-0 . Montpellier . FRANÇA
Gené-Mola J; Vilaplana V; Rosell-Polo JR; Morros JR; Ruiz-Hidalgo J; Gregorio E; (2019). Uso de redes neuronales convolucionales para la detección remota de frutos con cámaras RGB-D. (Presentació Comunicació) . X Congreso Ibérico de Agroingeniería . Libro de abstracts, p.143 (ID 03325). Enllaç: https://drive.google.com/file/d/1QWxVO0s22lb-Ys93L3tr5G6ofFSsKUQ8/view . Osca . ESPANYA
Gregorio López E; Gené Mola J (2019). Mecatrónica: Adquisición de competencias transversales y específicas en el marco de una asignatura multidisciplinar. (Póster) . III Congreso Virtual Internacional y V Congreso Virtual Iberoamericano sobre Recursos Educativos Innovadores . ESPANYA
Gené Mola J; Sanz-Cortiella R; Rosell-Polo JR; Morros JR; Ruiz-Hidalgo J; Vilaplana V; Gregorio E (2020). Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry. (Póster) . 7th Annual Catalan Meeting on Computer Vision . ESPANYA
Gené Mola, J.; Gregorio, E.; Sanz Cortiella, R.; Escolà, A.; Rosell Polo, J.R. (2022). Fruit detection and sizing using photonic sensors and artificial intelligence. (Presentació Comunicació) . International Conference on AI Applications in Agriculture . Barcelona . ESPANYA
Gené Mola, J.; Sanz Cortiella, R.; Rosell Polo, J.R.; Escolà, A.; Gregorio, E. (2022). Apple size estimation using photogrammetry-derived 3D point clouds. (Póster) . 9th Annual Catalan Meeting on Computer Vision . ESPANYA
Gené Mola, J.; Ferrer Ferrer, M.; Gregorio, E.; Block, P.M.; Hemming, J.; Morros, J.R.; Rosell Polo, J.R.; Vilaplana, V.; Ruiz Hidalgo, J. (2023). Amodal segmentation for on-tree apple fruit size estimation with RGB-D images. (Póster) . 10th Annual Catalan Meeting on Computer Vision . ESPANYA

Projectes

Grup de Recerca en AgròTICa i Agricultura de Precisió (GRAP) . 2014 - 2017 . Ref.2014 SGR 153 . Departament d'Economia i Coneixement (Generalitat de Catalunya) . IP: Joan Ramon Rosell Polo
Grup de Recerca en AgròTICa i Agricultura de Precisió (GRAP) . 2017 - 2021 . Ref.2017 SGR 00646 . Departament d'Economia i Coneixement (Generalitat de Catalunya) . IP: Alexandre Escola Agusti
TrimBot2020: A gardening robot for rose, hedge and topiary trimming . 2016 - 2019 . Ref.688007 . EU Framework Programme Horizon 2020 . IP: Robert Fisher (project coordinator) ; Jochen Hemming (WUR project leader)
Tecnologías de Agricultura de Precisión para optimizar el manejo del dosel foliar y la protección fitosanitaria sostenible en plantaciones frutales . 2019 - 2022 . Ref.RTI2018-094222-B-I00 . Ministerio de Ciencia, Innovación y Universidades . IP: José Antonio Martínez Casasnovas; Jaime Arnó Satorra
Herramientas de base fotónica para la gestión agronómica y el uso de productos fitosanitarios sostenible en cultivos arbóreos en el marco de la Agricultura de Precisión . 2014 - 2017 . Ref.AGL2013-48297-C2-2-R . Ministerio de Economía y Competitividad . IP: Joan Ramon Rosell Polo

Tècniques o especialitats que domina

LiDAR remote sensing
Computer Vision
Electronic characterization of vegetation
Sensors and Automation
Machine Learning in Computer Vision

Activitats Docents

Impartició de classes en l'assignatura Mecatrònica 2 (Grau en Enginyeria Mecànica i Grau en Enginyeria Electrònica Industrial i Automàtica) - Curs 2016/17 (Universitat de Lleida - Escola Politècnica Superior) . 01/03/2017 - 16/06/2017
Impartició de classes en l'assignatura Mecatrònica 2 (Grau en Enginyeria Mecànica i Grau en Enginyeria Electrònica Industrial i Automàtica) - Curs 2017/18 (Universitat de Lleida - Escola Politècnica Superior) . 01/03/2018 - 16/06/2018
Impartició de classes en l'assignatura Mecatrònica 2 (Grau en Enginyeria Mecànica i Grau en Enginyeria Electrònica Industrial i Automàtica) - Curs 2018/19 (Universitat de Lleida - Escola Politècnica Superior) . 01/03/2019 - 28/05/2019
Impartició de classes en l'assignatura Mecatrònica 2 (Grau en Enginyeria Mecànica i Grau en Enginyeria Electrònica Industrial i Automàtica) - Curs 2019/20 (Universitat de Lleida - Escola Politècnica Superior) . 01/02/2020 - 28/02/2020
Impartició de classes en l'assignatura Sistemes Elèctrics de Potència (Grau en Enginyeria de l'Energia i Sostenibilitat) - Curs 2019/20 (Universitat de Lleida - Escola Politècnica Superior) . 01/02/2020 - 28/02/2020

Altres Merits i Premis

Premi extraordinari d'enginyeria Tècnica Industrial, especialitat en Mecànica, atorgat al millor expedient acadèmic 2012/13 (Universitat de Lleida)
Premi ENGINY, atorgat al millor Projecte Final de carrera d'Enginyeria Tècnica Industrial Mecànica - 2012/13 (Col·legi d'Enginyers Tècnics Industrials de Lleida)
Premi Enginyers 2015, atorgat al millor projecte fi de màster del Màster en Enginyeria Industrial (Col·legi d'Enginyers Industrials de Catalunya)
Premi Extraordinari Màster en Enginyeria Industrial, atorgat al millor expedient acadèmic 2015/16 (Universitat de Lleida)
Premi al millor expedient del Màster en Enginyeria Industrial 2014-15 (Escola Politècnica Superior - UdL)
Beca excel·lència acadèmica per la mobilitat internacional - 2011BEXE00107 (AGAUR)
Beca destinada a la contractació de personal investigador novell (FI-2016) (AGAUR) . 01/03/2016 - 15/09/2016
Ajuda per la formació de professorat universitari (FPU15/03355) (Ministerio de Educación, Cultura y Deporte) . 16/09/2016 - 29/02/2020
Premi Extraordinari de Doctorat 2019/2020 a la millor tesi doctoral en l'àmbit de l'Enginyeria Agronòmica (Universitat de Lleida)

Biografia

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Jordi Gené Mola received the B.Sc. degree in Mechanical Engineering from Universitat de Lleida (Spain) and VIA University College (Denmark) in 2013, showing an excellence academic records that were recognised with an academic special mention grant (AGAUR), the Special Mention Award to the best academic records (Universitat de Lleida) and the Enginy Award to the best final project of Mechanical Enginering (Col·legi d'Enginyers Tècnics de Lleida). Then, he was employed as a mechanical engineer in the GILI GROUP I+D team. In parallel with this job, he received the M.Sc. degree in Industrial Engineering (Universitat de Lleida - 2015), where he was recognised with the Special Mention Award to the best academic records (Universitat de Lleida), the Enginyers 2015 Award to the best final project (Col·legi d'Enginyers Industrials de Catalunya), and the Best Student Award 2014/15 (Escola Politècnica Superior - UdL).

After three years of professional experience in the GILI GROUP I+D team, he was granted with an FPU pre-doctoral contract (Spanish Ministry of Education) to start his PhD studies in University of Lleida, at the PhD programme in Agricultural and Food Science and Technology (mention towards Excellence MEE2011-0378). In parallel with the PhD studies, he also received the M.Sc. degree in Computer Vision from Universitat Autònoma de Barcelona (2018). During his PhD studies, he also did two research stays: 10 months at Universitat Politècnica de Catalunya (Spain), and 3 months at Wageningen University and Research (ranked as the Best World University in the field of Agriculture and Forestry - QS and Shanghai Rankings) (Netherlands). In 2020 he defended the PhD thesis (international mention) entitled 'Fruit detection and 3D location using optical sensors and computer vision' comprised of 7 scientific articles (4 Q1-JCR + 3 Q2-JCR), qualified with an Excellent Cum Laude and awarded with the Special Doctoral Award to the best PhD thesis in the area of Agronomic Engineering (University of Lleida).

He is currently working as postdoc researcher in the Research Group in Precision Agriculture (GRAP), University of Lleida, and granted with a Margarita Salas postdoctoral contract for a two-year research stay in the Image Processing Group (GPI), Universitat Politècnica de Catalunya. His research interests include the use of optical sensors and artificial intelligence in agriculture. His scientific production (at 10/08/2022) includes: 16 WoS-JCR articles (10 as first author), 9 of which located in journals in the first quartile and 4 of them highly cited (being among the 1%(2), 2% (1), and 5 % (1) more cited within their scientific field, respectively); 1 dissemination article; and 6 conference contribution (4 oral + 2 posters). His scientific production has been cited by more than 240 articles, obtaining an H-index of 7. This scientific production has been developed under 4 research projects (3 national + 1 EU H2020).

His teaching experience includes 163h of lectures in Mechatronics and Electric Power Systems, obtaining an average qualification of 4.57 points (out of 5) in the students' opinion surveys.

Sumary:

  • H-index (WoS/Scopus): 7 / 7
  • Scientific publications (WoS/Scopus): 16/16 [9 Q1 + 6 Q2 + 1Q4]
  • Total citations (WoS/Scopus): 209/242 (date: 10/08/2022)
  • Dissemination articles: 1 article
  • Conferences contributions: 6 (4 oral + 2 posters)
  • Intellectual property CC licenses: 6 databases and 5 code repositories
  • Projects participation: 4 (3 national + 1 EU H2020)
  • Research stays: 3 (2 national (10 months, in progress) + 1 international (3 months))
  • Predoctoral awards: 5 (1 B.Sc. final project + 1 M.Sc. final project + 1 B.Sc. academic record + 2 M.Sc. academic record)
  • Postdoctoral awards: 1 (Special Doctoral Award to the best PhD thesis)