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Metodología para el análisis de los errores y validación de nubes de puntos 3D obtenidas en campo para la caracterización de la arquitectura de árboles frutales
(2021)El estudio de la estructura de la planta (índice de área foliar, porosidad del dosel, densidad foliar, arquitectura leñosa y sistema de entrenamiento) y de su geometría (tamaño, forma y volumen) es básico para realizar ... -
R software code to process and extract information from 3D Lidar point clouds
(2019)In the process of electronic canopy characterization, it is necessary to process efficiently point clouds obtained by means of sensors or other capturing information systems. These point clouds may have different origin ... -
Manejo de malas hierbas bajo la línea del viñedo mediante acolchados orgánicos y su efecto sobre el vigor del cultivo
(Sociedad Española de Ciencias Hortícolas, 2022)En una parcela de viñedo de Raimat (Lleida) cv. ‘Chardonnay’ se estudió, durante la campaña 2019, el efecto de cuatro estrategias de manejo de malas hierbas bajo las cepas: 1) laboreo con intercepas, 2) pases de segadora, ... -
Assessment of different N treatments in Hedgerow Almond Orchards by means of LiDAR point clouds
(2022)Monitoring of canopy status in fruit tree orchards allows better decisions in the canopy management, such as pruning or fertirrigation. LiDAR is an effective tool to acquire accurate 3D geometric and structural data, ... -
Análisis del dosel foliar de setos olivo mediante LiDAR y su relación con la productividad y atributos de calidad del aceite
(2022)La gestión del cultivo del olivo, particularmente en condiciones superintensivas, es clave para alcanzar la productividad y la calidad del aceite necesarias para mantener las expectativas económicas de las explotaciones. ... -
Multi-beam LiDAR-derived data analysis for optimal canopy 3D monitoring in super-intensive almond (Prunus dulcis) orchards
(2021)An analysis of data obtained by a LiDAR sensor was carried out. The sensor uses 16 laser beams and was moved along super-intensive almond orchard alleyways to obtain a 3D point cloud. Different beam combinations were used ... -
NDVI from satellite images to estimate LiDAR-derived geometric and structural parameters in super-intensive almond orchards
(2021)The present work tries to bridge a gap about the estimation of geometric and structural orchard parameters (LiDAR-derived) from vegetation indices from satellites. The maximum height and width, the cross-sectional area and ... -
Estimation of geometric and structural parameters in a super-intensive almond (Prunus dulcis) orchard from multispectral vegetation indices derived from UAV-based imagery
(2021)Canopy geometric and structural parameters in a super-intensive almond (Prunus dulcis) orchard were estimated from multispectral vegetation indices from very high-resolution UAV images (0.07 m/pixel). As ground truth data, ... -
Satellite multispectral indices to estimate canopy parameters and within‑feld management zones in super‑intensive almond orchards
(Springer Nature, 2022)Continuous canopy status monitoring is an essential factor to support and precisely apply orchard management actions such as pruning, pesticide and foliar treatment applications, or fertirrigation, among others. For that, ... -
Fruit detection and 3D location using instance segmentation neural networks and SfM photogrammetry
(2020)The development of remote fruit detection systems able to identify and 3D locate fruits provides opportunities to improve the effi-ciency of agriculture management. Most of the current fruit detec-tion systems are based ... -
Apple size estimation using photogrammetry-derived 3D point clouds
(2022)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 the development of accurate fruit size ... -
PlanetScope Vegetation Indices to Estimate UAV and LiDAR-derived Canopy Parameters in a Super-Intensive Almond Orchard
(2022)The continuous monitoring of geometric and structural parameters is a key aspect in sustainable and accurate orchard management. Although LiDAR and UAV photogrammetry are widely used to measure canopy architecture, there ...