JORDI
LLORENS CALVERAS
CON
Publicaciones (68) Publicaciones de JORDI LLORENS CALVERAS
2023
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Design and characterization of a real-time capacitive system to estimate pesticides spray deposition and drift
Computers and Electronics in Agriculture, Vol. 207
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Drip Irrigation Soil-Adapted Sector Design and Optimal Location of Moisture Sensors: A Case Study in a Vineyard Plot
Agronomy, Vol. 13, Núm. 9
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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
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Organic mulches as an alternative for under-vine weed management in Mediterranean irrigated vineyards: Impact on agronomic performance
European Journal of Agronomy, Vol. 145
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Relationship between yield and tree growth in almond as influenced by nitrogen nutrition
Scientia Horticulturae, Vol. 321
2022
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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
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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
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A cheap electronic sensor automated trap for monitoring the flight activity period of moths
European Journal of Entomology, Vol. 118, pp. 315-321
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A photogrammetry-based methodology to obtain accurate digital ground-truth of leafless fruit trees
Computers and Electronics in Agriculture, Vol. 191
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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
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Multi-beam LiDAR-derived data analysis for optimal canopy 3D monitoring in super-intensive almond (Prunus dulcis) orchards
PRECISION AGRICULTURE'21
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NDVI from satellite images to estimate LiDAR-derived geometric and structural parameters in super-intensive almond orchards
PRECISION AGRICULTURE'21
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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
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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
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Fruit detection, yield prediction and canopy geometric characterization using LiDAR with forced air flow
Computers and Electronics in Agriculture, Vol. 168
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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
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L’agricultura de precisió: què és i com pot ajudar l’agricultura catalana?
Dossier tècnic, Núm. 107, pp. 3-9
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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
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Fruit detection in an apple orchard using a mobile terrestrial laser scanner
Biosystems Engineering, Vol. 187, pp. 171-184
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Special issue on “terrestrial laser scanning”: Editors’ notes
Sensors (Switzerland)