Publicaciones (92) Publicaciones de JAUME ARNO SATORRA

2023

  1. AKFruitYield: Modular benchmarking and video analysis software for Azure Kinect cameras for fruit size and fruit yield estimation in apple orchards

    SoftwareX, Vol. 24

  2. Assessing automatic data processing algorithms for RGB-D cameras to predict fruit size and weight in apples

    Computers and Electronics in Agriculture, Vol. 214

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

    Agronomy, Vol. 13, Núm. 9

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

    Postharvest Biology and Technology, Vol. 206

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

    Scientia Horticulturae, Vol. 321

  6. Video-Based Fruit Detection and Tracking for Apple Counting and Mapping

    2023 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2023 - Proceedings

2022

  1. AKFruitData: A dual software application for Azure Kinect cameras to acquire and extract informative data in yield tests performed in fruit orchard environments

    SoftwareX, Vol. 20

  2. 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

  3. El pulgón ceniciento del manzano: conocer su biología para mejorar su control

    Revista de fruticultura, Núm. 86, pp. 28-39

  4. 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. Map-based zonal dosage strategy to control yellow spider mite (Eotetranychus carpini) and leafhoppers (Empoasca vitis & Jacobiasca lybica) in vineyards

    Crop Protection, Vol. 147

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

    PRECISION AGRICULTURE'21

  5. 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. Determination of spray drift and buffer zones in 3D crops using the ISO standard and new LiDAR methodologies

    Science of the Total Environment, Vol. 714

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

    Dossier tècnic, Núm. 107, pp. 3-9

  4. Sensors de sòl per optimitzar la zonificació del reg

    Dossier tècnic, Núm. 107, pp. 32-36

  5. Spatially variable pesticide application in vineyards: Part I, developing a geostatistical approach

    Biosystems Engineering, Vol. 195, pp. 17-26