A5089775606- Remote Sensing and LiDAR Applications
- Remote Sensing in Agriculture
- Horticultural and Viticultural Research
- Smart Agriculture and AI
- Plant Surface Properties and Treatments
- Forest ecology and management
- 3D Surveying and Cultural Heritage
- Leaf Properties and Growth Measurement
- Plant Physiology and Cultivation Studies
- Tree Root and Stability Studies
- Soil Geostatistics and Mapping
- Irrigation Practices and Water Management
- Soil erosion and sediment transport
- Land Use and Ecosystem Services
- Insect Pheromone Research and Control
- Spectroscopy and Chemometric Analyses
- Postharvest Quality and Shelf Life Management
- Data Mining Algorithms and Applications
- Food Supply Chain Traceability
- Plant Water Relations and Carbon Dynamics
- Soil Mechanics and Vehicle Dynamics
- Plant Pathogens and Fungal Diseases
- Potato Plant Research
- Greenhouse Technology and Climate Control
- Pesticide Residue Analysis and Safety
Universitat de Lleida
2015-2024
Universitat Politècnica de Catalunya
2009
Government of Catalonia
2006
Canopy characterization is a key factor to improve pesticide application methods in tree crops and vineyards. Development of quick, easy efficient determine the fundamental parameters used characterize canopy structure thus an important need. In this research use ultrasonic LIDAR sensors have been compared with traditional manual destructive measurement procedure. For both values such as crop height, width, volume or leaf area compared. Obtained results indicate that sensor appropriate tool...
Ultrasonic and light detection ranging (LiDAR) sensors have been some of the most deeply investigated sensing technologies within scope digital horticulture. They can accurately estimate geometrical structural parameters tree canopies providing input information for high-throughput phenotyping precision A review was conducted in order to describe how these evolved identify main topics, applications, key points future investigations horticulture science. Most research efforts focused on...
In-field fruit monitoring at different growth stages provides important information for farmers. Recent advances have focused on the detection and location of fruits, although development accurate size estimation systems is still a challenge that requires further attention. This work proposes novel methodology automatic in-field apple which based four main steps: 1) detection; 2) point cloud generation using structure-from-motion (SfM) multi-view stereo (MVS); 3) estimation; 4) visibility...
In this work, a LIDAR-based 3D Dynamic Measurement System is presented and evaluated for the geometric characterization of tree crops. Using measurement system, trees were scanned from two opposing sides to obtain three-dimensional point clouds. After registration clouds, simple easily obtainable parameter number impacts received by vegetation. The work in study based on hypothesis existence linear relationship between LIDAR sensor laser beam vegetation leaf area. Tests performed under...
Electronic canopy characterization is an important issue in tree crop management. Ultrasonic and optical sensors are the most used for this purpose. The objective of work was to assess performance ultrasonic sensor under laboratory field conditions order provide reliable estimations distance measurements apple canopies. To purpose, a methodology has been designed analyze relation foliage ranging interferences with adjacent when working simultaneously. Results show that average error...
Spraying techniques have been undergoing continuous evolution in recent decades. This paper presents part of the research work carried out Spain field sensors for characterizing vineyard canopies and monitoring spray drift order to improve spraying make it more sustainable. Some methods geostatistical procedures mapping parameters are proposed, development a variable rate sprayer is described. All these technologies interesting terms adjusting amount pesticides applied target canopy.
In this study, the evaluation of accuracy and performance a light detection ranging (LIDAR) sensor for vegetation using distance reflection measurements aiming to detect discriminate maize plants weeds from soil surface was done. The study continues previous work carried out in field Spain with LIDAR exclusively one index, height profile. current system uses combination two mentioned indexes. experiment at growth stage 12–14, 16 different locations selected represent widest possible density...
LiDAR (Light Detection and Ranging) technology has been used to obtain geometrical attributes of tree crops in small field plots, sometimes using manual steps data processing. The objective this study was develop a method for estimating canopy volume height based on mobile terrestrial laser scanner suited large commercial orange groves. A 2D sensor GNSS (Global Navigation Satellite System) receiver were mounted vehicle acquisition. georeferenced point cloud representing the beam impacts crop...
One of the main challenges for organic vineyards is weed management. Weeds tend to compete water and nutrients, can cause large yield reductions. Traditional under-vine management in consists on mechanical cultivation along season, which associated soil young vine root damages, high fuel consumption. Thus, sustainable alternatives need be found. Cover crops are becoming common last decades due their multiple benefits agroecosystems. Nevertheless, cover crop implementation Mediterranean...
The measurement of geometric canopy parameters in woody crops is an important task Precision Agriculture because their correlation with crop condition and productivity. In recent years, several technological approaches have been developed as alternative to manual measurements, which are time- labour-consuming. Two the most commonly used 3D characterization technologies mobile terrestrial laser scanning (MTLS) based on light detection ranging (LiDAR) sensors, digital aerial photogrammetry...