Comunicacions a congressos (Agrotecnio Center)
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- ItemOpen AccessAnalysis of drought impact on apple trees using the leafiness- LiDAR index(2025) Sandonís Pozo, Leire; Martínez Casasnovas, José Antonio; Pascual Roca, MiquelApple trees (Malus×domestica Borkh.) are widely cultivated in Mediterranean regions, where drought poses a major challenge to growth and productivity. This study assessed the Leafiness-LiDAR Index (LLI) as a proxy for the Leaf Area Index (LAI) and its relationship with yield parameters, including fruit count (num/tree), size, weight, and yield (kg/ha), under two irrigation regimes – full irrigation (FI) and deficit irrigation (DI) – and planting densities (0.5 m and 1 m). Results showed a positive correlation between LLI, LAI, and yield, with reduced vegetative growth under drought (DI) conditions. Wider planting frames favoured larger fruit size and higher fruit count, while denser frames increased yield per hectare. LLI proved effective for monitoring canopy dynamics, offering potential for improving productivity and drought resilience.
- ItemOpen AccessTowards Analysis of Drought Impact on Apple Trees Using the Leafiness-LiDAR Index(2025) Sandonís Pozo, Leire; Martínez Casasnovas, José Antonio; Pascual Roca, MiquelApple trees (Malus×domestica Borkh.) are widely cultivated in Mediterranean regions, where drought poses a major challenge to growth and productivity. This study assessed the Leafiness-LiDAR Index (LLI) as a proxy for the Leaf Area Index (LAI) and its relationship with yield parameters, including fruit count (num/tree), size, weight, and yield (kg/ha), under two irrigation regimes – full irrigation (FI) and deficit irrigation (DI) – and planting densities (0.5 m and 1 m). Results showed a positive correlation between LLI, LAI, and yield, with reduced vegetative growth under drought (DI) conditions. Wider planting frames favoured larger fruit size and higher fruit count, while denser frames increased yield per hectare. LLI proved effective for monitoring canopy dynamics, offering potential for improving productivity and drought resilience.
- ItemOpen AccessImpact of high-intensity pulsed electric fields on carotenoids profile of tomato juice made of moderate-intensity pulsed electric field-treated tomatoes(Elsevier, 2013) Vallverdú-Queralt, Anna; Odriozola Serrano, Isabel; Oms Oliu, Gemma; Lamuela-Raventós, Rosa M.; Elez Martínez, Pedro; Martín Belloso, Olga; Lamuela-Raventós, Rosa M Lamuela-RaventósThe effect of pulsed electric fields (PEF) on the carotenoid content of tomato juices was studied. First, moderate-intensity PEF (MIPEF) was applied to raw tomatoes. Afterwards, MIPEF-treated and untreated tomatoes were immediately refrigerated at 4 °C for 24 h and then, they were separately ground to produce tomato juices. Juices were treated by heat treatments or by high-intensity PEF (HIPEF) and stored under refrigeration for 56 days. MIPEF treatment of tomatoes increased the content of carotenoid compounds in tomato juices. An enhancement of 63–65% in 15-cis-lycopene was observed in juices prepared with MIPEF-treated tomatoes. A slight increase in cis-lycopene isomers was observed over time, whereas other carotenoids slightly decreased. However, HIPEF treated tomato juices maintained higher carotenoid content (10–20%) through the storage time than thermally and untreated juices. The combination of MIPEF and HIPEF treatments could be used not only to produce tomato juices with high carotenoid content but also, to maintain higher the carotenoid content during storage time.
- ItemOpen AccessEWRS 2025. 20th European Weed Research Society Symposium. 1-4 July 2025 Lleida (Catalonia, Spain). Joint approaches for sustainable weed management(European Weed Research Society, 2025) European Weed Research SocietyNew advances in weed science are oriented towards achieving a balance between crop production and sustainability. In this sense, weed science research at the European level is informed by the EU’s Common Agricultural Policy and is increasingly focused on the integration of new tools, methods and strategies for an improved weed management. This situation could be defined by the congress motto: Joint approaches for sustainable weed management. Advances in weed science in Europe will be presented on the upcoming EWRS Symposium that will take place in Lleida (Catalonia, Spain) in 2025. This symposium has never been held in Spain, a country with an important and diversified agricultural activity and with an active weed science society. For this reason, the Local Committee formed by weed scientists from the University of Lleida, Agrotecnio Centre and with the support of colleagues from Department of Agriculture, the Polytechnic University of Catalonia and CITA Aragón, are enthusiastic to celebrate this relevant event and invite all weed scientists from Europe and other countries to join us in Lleida in July 2025 and share an unforgettable week of science and friendship.
- ItemOpen AccessVideo-Based Fruit Detection and Tracking for Apple Counting and Mapping(IEEE, 2023) Gené Mola, Jordi; Felip Pomés, Marc; Net Barnés, Francesc; Morros Rubió, Josep Ramon; Miranda, Juan Carlos; Arnó Satorra, Jaume; Asin Jones, Luis; Lordan Sanahuja, Jaume; Ruiz Hidalgo, Javier; Gregorio López, EduardAutomatic fruit counting systems have garnered interest from farmers and agronomists to monitor fruit production, predict yields in advance, and identify production variability across orchards. However, accurately counting fruits poses challenges, particularly due to occlusions. This study proposes a multi-view sensing approach using continuous motion videos captured by a camera moved along the row of trees, followed by fruit detection in all video frames and application of Multi-Object Tracking (MOT) algorithms to prevent double-counting. Three tracking methods, namely SORT, DeepSORT, and ByteTrack, are compared for fruit counting using the YOLOv5x object detector. The methodology is applied to map fruit production in an experimental apple orchard at two different dates: four weeks and one week before harvest. The results demonstrate that ByteTrack (MOTA=0.682; IDF1=0.837; HOTA=0.689) outperforms SORT and DeepSORT, indicating its superior tracking performance. Computational efficiency analysis reveals similar processing times between SORT and ByteTrack (about 15 ms), while DeepSORT requires significantly more processing time per image (128 ms). Fruit counting evaluation shows reasonably accurate yield predictions on both dates, with reduced errors and improved performance closer to the harvest date (MAPE=7.47 %; R2=0.70). The system proves effective in estimating orchard fruit production using computer vision technology, offering valuable insights for yield forecasting. These findings contribute to optimizing fruit production and supporting precision agriculture practices. The code and the dataset have been made publicly available and a video visualization of results is accessible at http://www.grap.udl.cat/en/publications/video_fruit_counting.