Publicaciones en las que colabora con ALEXANDRE ESCOLA AGUSTI (42)

2023

  1. Drip Irrigation Soil-Adapted Sector Design and Optimal Location of Moisture Sensors: A Case Study in a Vineyard Plot

    Agronomy, Vol. 13, Núm. 9

  2. Fruit sizing using AI: A review of methods and challenges

    Postharvest Biology and Technology, Vol. 206

  3. Relationship between yield and tree growth in almond as influenced by nitrogen nutrition

    Scientia Horticulturae, Vol. 321

2022

  1. Delineation of Management Zones in Hedgerow Almond Orchards Based on Vegetation Indices from UAV Images Validated by LiDAR-Derived Canopy Parameters

    Agronomy, Vol. 12, Núm. 1

  2. Satellite multispectral indices to estimate canopy parameters and within-field management zones in super-intensive almond orchards

    Precision Agriculture, Vol. 23, Núm. 6, pp. 2040-2062

2021

  1. A photogrammetry-based methodology to obtain accurate digital ground-truth of leafless fruit trees

    Computers and Electronics in Agriculture, Vol. 191

  2. Estimation of geometric and structural parameters in a super-intensive almond (Prunus dulcis) orchard from multispectral vegetation indices derived from UAV-based imagery

    PRECISION AGRICULTURE'21

  3. Multi-beam LiDAR-derived data analysis for optimal canopy 3D monitoring in super-intensive almond (Prunus dulcis) orchards

    PRECISION AGRICULTURE'21

  4. NDVI from satellite images to estimate LiDAR-derived geometric and structural parameters in super-intensive almond orchards

    PRECISION AGRICULTURE'21

2020

  1. Assessing the performance of rgb-d sensors for 3d fruit crop canopy characterization under different operating and lighting conditions

    Sensors (Switzerland), Vol. 20, Núm. 24, pp. 1-21

  2. L’agricultura de precisió: què és i com pot ajudar l’agricultura catalana?

    Dossier tècnic, Núm. 107, pp. 3-9

2019

  1. Assessing ranked set sampling and ancillary data to improve fruit load estimates in peach orchards

    Computers and Electronics in Agriculture, Vol. 164

  2. Sentinel-2 vegetation indices and apparent electrical conductivity to predict barley (Hordeum vulgare L.) yield

    Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019

  3. Stratified sampling in fruit orchards using cluster-based ancillary information maps: a comparative analysis to improve yield and quality estimates

    Precision Agriculture, Vol. 20, Núm. 2, pp. 179-192

2018

  1. Apparent electrical conductivity and multivariate analysis of soil properties to assess soil constraints in orchards affected by previous parcelling

    Geoderma, Vol. 319, pp. 185-193

  2. LIDAR and non-LIDAR-based canopy parameters to estimate the leaf area in fruit trees and vineyard

    Agricultural and Forest Meteorology, Vol. 260-261, pp. 229-239

  3. Spatial variability in orchards after land transformation: Consequences for precision agriculture practices

    Science of the Total Environment, Vol. 635, pp. 343-352

  4. Use of farmer knowledge in the delineation of potential management zones in precision agriculture: A case study in maize (Zea mays L.)

    Agriculture (Switzerland), Vol. 8, Núm. 6

2017

  1. Kinect v2 sensor-based mobile terrestrial laser scanner for agricultural outdoor applications

    IEEE/ASME Transactions on Mechatronics, Vol. 22, Núm. 6, pp. 2420-2427

  2. Mobile terrestrial laser scanner applications in precision fruticulture/horticulture and tools to extract information from canopy point clouds

    Precision Agriculture, Vol. 18, Núm. 1, pp. 111-132