A5071410792- Horticultural and Viticultural Research
- Plant and Fungal Interactions Research
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Wheat and Barley Genetics and Pathology
- Forest Insect Ecology and Management
- Nuts composition and effects
- Powdery Mildew Fungal Diseases
- Plant Pathogens and Resistance
- Spectroscopy and Chemometric Analyses
- Soil Geostatistics and Mapping
Universidad de León
2021-2024
This study explores spectroscopy in the 350 to 2500 nm range for detecting powdery mildew (Erysiphe necator) grapevine leaves, crucial precision agriculture and sustainable vineyard management. In a controlled experimental setting, spectral reflectance on leaves with varying infestation levels was measured using FieldSpec 4 spectroradiometer during July September. A detailed assessment conducted following guidelines recommended by European Mediterranean Plant Protection Organization (EPPO)...
Visible, near, and shortwave infrared (VIS-NIR-SWIR) reflectance spectroscopy, a cost-effective rapid means of characterizing soils, was used to predict soil sample properties for four vineyards (central north-western Spain). Sieved air-dried samples were measured using portable spectroradiometer (350–2500 nm) compared pistol grip (PG) versus contact probe (CP) setups. Raw data processed standard normal variate (SVN) detrending transformation (DT) grouped into subsets (VIS: 350–700 nm; NIR:...
In viticulture, information about vine vigour is a key input for decision-making in connection with production targets. Pruning weight (PW), quantitative variable used as indicator of vegetative vigour, associated the quantity and quality grapes. Interest has been growing recent years around use unmanned aerial vehicles (UAVs) or drones fitted remote sensing facilities more efficient crop management higher wine. Current research shown that grape production, leaf area index, biomass, other...
Chestnut and chestnut byproducts are of worldwide interest, so there is a constant need to develop faster more accurate monitoring techniques. Recent advances in simultaneous localization mapping (SLAM) algorithms user accessibility have led increased use handheld mobile laser scanning (HHLS) precision agriculture. We propose tree growth methodology, based on HHLS point cloud processing, that calculates the length branches through spatial discretization for each tree. The methodology was...
The Asian chestnut gall wasp is an invasive pest that causes ecological and economic losses in the management of sweet (Castanea sativa Mill.). therefore needs to be monitored order assess its impact on tree growth fruit yield. As part this work, we propose infestation level classification based number galls per branch. For two orchards infested by wasp, terrestrial light detection ranging (LiDAR) data were used calculate yield was quantified terms nuts burrs. variables statistically...
While populations of the Asian chestnut gall wasp (Dryocosmus kuriphilus Yasumatsu), an invasive pest affecting European (Castanea sativa Miller), have started to be controlled biologically, this still conditions tree development. With aim assessing plant health status as a means monitoring infestation, we used field spectroradiometer collect data from leaves taken 83 trees in two orchards. We calculated characteristic spectral signatures for and after training validation, developed...