PAgPROTECT - Project results

• Miranda JC, Gené-Mola J, Zude-Sasse M, Tsoulias N, Escolà A, Arnó J, Rosell-Polo JR, Sanz-Cortiella R, Martínez-Casasnovas JA, Gregorio E. 2023. Fruit sizing using AI: A review of methods and challenges . Postharvest Biology and Technology 206 (2023) 112587. DOI: https://doi.org/10.1016/j.postharvbio.2023.112587 

• Assessing automatic data processing algorithms for RGB-D cameras to predict fruit size and weight in apples
  Miranda JC, Arnó J, Gené-Mola J, Lordan J, Asín L, Gregorio E. 2023. Computers and Electronics in Agriculture, 214, 108302. DOI: https://doi.org/10.1016/j.compag.2023.108302 

• Miranda, J.C., Arnó, J., Gené-Mola, J., Fountas, S., Gregorio, E. 2023. AKFruitYield: Modular benchmarking and video analysis software for Azure Kinect cameras for fruit size and fruit yield estimation in apple orchards. SoftwareX, 24, 101548, https://doi.org/10.1016/j.softx.2023.101548

• 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, 63-75, https://doi.org/10.1016/j.biosystemseng.2023.07.010

• Gené-Mola, J., Ferrer-Ferrer, M., Gregorio, E., Blok, P.M., Hemming, J., Morros, J.R., Rosell-Polo, J.R., Vilaplana, V., Ruiz-Hidalgo, J. 2023. Looking behind occlusions: A study on amodal segmentation for robust on-tree apple fruit size estimation. Computers and Electronics in Agriculture, 209, 107854. https://doi.org/10.1016/j.compag.2023.107854

• Escolà, A., Peña, J.M., López-Granados, F., Rosell-Polo, J.R., de Castro, A., Gregorio, E., Jiménez-Brenes, F.M., Sanz, R., Sebé, F., Llorens, J., Torres-Sánchez, J. 2023. Mobile terrestrial laser scanner vs. UAV photogrammetry to estimate woody crop canopy parameters – Part 1: Methodology and comparison in vineyards. Computers and Electronics in Agriculture, 212, 108109. https://doi.org/10.1016/j.compag.2023.108109

• Torres-Sánchez, J., Escolà, A., de Castro, A., López-Granados, F., Rosell-Polo, J.R., Sebé, F., Jiménez-Brenes, F.M., Sanz, R., Gregorio, E., Peña, J.M. 2023. Mobile terrestrial laser scanner vs. UAV photogrammetry to estimate woody crop canopy parameters – Part 2: Comparison for different crops and training systems. Computers and Electronics in Agriculture, 212, 108083. https://doi.org/10.1016/j.compag.2023.108083
  
  

• Gené-Mola J., Felip-Pomés M., Net-Barnes F., Morros J.R., Miranda J.C., Arnó J., Asín L., Lordan J., Ruiz-Hidalgo J., Gregorio E., 2023. Video-Based Fruit Detection and Tracking for Apple Counting and Mapping. Proceedings of the 2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), Nov 6-8, 2023, Pisa (Italy). PP 301-306. ISBN 979-8-3503-1272-0/23

• Sandonís-Pozo, L., Martínez-Casasnovas, J.A., Escolà, A., Rosell-Polo, J.R., Rufat, J., Pascual, M., 2023. A new leafiness-LiDAR index to estimate light interception in intensive olive orchards. In: Staford, J (Ed.), Precision Agriculture'23, 14th European Conference on Precision Agriculture, Wageningen Academic Publishers, Wageningen (The Netherlands), pp 189-195. DOI: https://doi.org/10.3920/978-90-8686-947-3_22, https://repositori.udl.cat/handle/10459.1/463686.
  

  Gené-Mola J., Ferrer-Ferrer M, Gregorio E., Blok P.M., Hemming J., Morros JR., Rosell-Polo JR., Vilaplana V., Ruiz-Hidalgo J. Amodal segmentation for on-tree apple fruit size estimation with RGB-D images. 2023. Anual Catalan Meeting on Computer Vision (ACMCV2023). Poster.

• Lavaquiol, B., Llorens, J., Sanz, R., Arnó, J., Escolà, A. 2023. Uncertainty analysis of a LiDAR-based MTLS point cloud using a high-resolution ground-truth. In: Canavari, M., Vitali, G., Mattetti, M. (Eds.), Book of Abstracts (Posters), 14th European Conference on Precision Agriculture, 2-6 July 2023, Bologna, Italy. pp 37. https://repositori.udl.cat/handle/10459.1/463872

• Llorens, J., Román, C., Escolà, A., Gené-Mola, J, Arnó, J., Martínez-Casasnovas, J.A. 2023. How can precision agriculture contribute to the 50 % pesticide reduction goal of the farm-to-fork strategy? In: Staford, J (Ed.), Precision Agriculture'23, 14th European Conference on Precision Agriculture, Wageningen Academic Publsxhers, Wageningen (The Netherlands), pp 285-292. DOI: 10.3920/978-90-8686-947-3.

• Martínez-Casasnovas, J.A., Rosell-Tarragó, M., Rosell-Polo, J.R., Sanz, R., Gregorio, E., Gené-Mola, J., Llorens, J., Arnó, J., Escolà, A. 2023. Low-cost terrestrial photogrammetry for orchard sidewards 3d reconstruction. In: Canavari, M., Vitali, G., Mattetti, M. (Eds.), Book of Abstracts (Posters), 14th European Conference on Precision Agriculture, 2-6 July 2023, Bologna, Italy. pp 113. https://repositori.udl.cat/handle/10459.1/464591

In progress

• Flores Junqué, A. 2023. Analysis of air pollution in pesticide treatments using a LiDAR system. Final dissertation, Degree in Energy Engineering and Sustainability, Polytechnic School, Universitat de Lleida. [In Catalan]. Enllaç a repositori: https://repositori.udl.cat/handle/10459.1/463728

• Felip Pomes, M. 2023. AI-based Mobile Application for Real-Time Fruit Sizing. Final dissertation, Master in Informatics Engineering, Polytechnic School, Universitat de Lleida.

• Arpaci, B. 2023. 3D Apple Detection from Large Point Clouds Using Deep Learning. Final dissertation, Master in Coputer Vision, Autonomous University of Barcelona. https://ddd.uab.cat/record/285205

• Gené-Mola J, Ferrer-Ferrer M, Jochen H, van Dalfsen P, de Hoog D, Sanz-Cortiella R, Rosell- Polo JR, Morros JR, Vilaplana V, Ruiz-Hidalgo J, Gregorio E. 2023. AmodalAppleSize_RGB-D dataset: RGB-D images of apple trees annotated with modal and amodal segmentation masks for fruit detection, visibility and size estimation. Data in Brief, 52, 110000. DOI: https://doi.org/10.1016/j.dib.2023.110000

• Software: Miranda, J.C., Arnó, J., Gené-Mola, J. Fountas, S., Gregorio, E. 2023. AKFruitYield: AK_SW_BENCHMARKER - Azure Kinect Size Estimation & Weight Prediction Benchmarker. https://github.com/GRAP-UdL-AT/ak_sw_benchmarker

• Software: Miranda, J.C., Arnó, J., Gené-Mola, J. Fountas, S., Gregorio, E. 2023. AK_VIDEO_ANALYSER - Azure Kinect Video Analyser. https://github.com/GRAP-UdL-AT/ak_video_analyser/