Argitalpenak (68) JORDI LLORENS CALVERAS argitalpenak

2023

  1. Design and characterization of a real-time capacitive system to estimate pesticides spray deposition and drift

    Computers and Electronics in Agriculture, Vol. 207

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

    Agronomy, Vol. 13, Núm. 9

  3. Mobile terrestrial laser scanner vs. UAV photogrammetry to estimate woody crop canopy parameters – Part 1: Methodology and comparison in vineyards

    Computers and Electronics in Agriculture, Vol. 212

  4. Organic mulches as an alternative for under-vine weed management in Mediterranean irrigated vineyards: Impact on agronomic performance

    European Journal of Agronomy, Vol. 145

  5. 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 cheap electronic sensor automated trap for monitoring the flight activity period of moths

    European Journal of Entomology, Vol. 118, pp. 315-321

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

    Computers and Electronics in Agriculture, Vol. 191

  3. 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

  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

  6. Spatially variable pesticide application in olive groves: Evaluation of potential pesticide-savings through stochastic spatial simulation algorithms

    Science of the Total Environment, Vol. 778

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. Fruit detection, yield prediction and canopy geometric characterization using LiDAR with forced air flow

    Computers and Electronics in Agriculture, Vol. 168

  3. LFuji-air dataset: Annotated 3D LiDAR point clouds of Fuji apple trees for fruit detection scanned under different forced air flow conditions

    Data in Brief

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

    Dossier tècnic, Núm. 107, pp. 3-9

  5. Spatially variable pesticide application in vineyards: Part II, field comparison of uniform and map-based variable dose treatments

    Biosystems Engineering, Vol. 195, pp. 42-53

2019

  1. Fruit detection in an apple orchard using a mobile terrestrial laser scanner

    Biosystems Engineering, Vol. 187, pp. 171-184

  2. Special issue on “terrestrial laser scanning”: Editors’ notes

    Sensors (Switzerland)