Olive Trees, Orchards, Diseases

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Orchards. Olive. Orange, lemon, lime.

Ceylan, N.[Nihal], Unal, E.[Ediz], Masson, J.[Josiane],
A Case Study of Developing An Olive Tree Database For Turkey,
PhEngRS(75), No. 12, December 2009, pp. 1397-1406.
WWW Link. 1001
An implementation of OLICOUNT software for counting olive trees over satellite imagery to test its practicability and to develop an olive database in Burhaniye County, Balkesir, Turkey. BibRef

Calderón, R.[Rocío], Navas-Cortés, J.A.[Juan A.], Zarco-Tejada, P.J.[Pablo J.],
Early Detection and Quantification of Verticillium Wilt in Olive Using Hyperspectral and Thermal Imagery over Large Areas,
RS(7), No. 5, 2015, pp. 5584-5610.
DOI Link 1506

Díaz-Varela, R.A.[Ramón A.], de la Rosa, R.[Raúl], León, L.[Lorenzo], Zarco-Tejada, P.J.[Pablo J.],
High-Resolution Airborne UAV Imagery to Assess Olive Tree Crown Parameters Using 3D Photo Reconstruction: Application in Breeding Trials,
RS(7), No. 4, 2015, pp. 4213-4232.
DOI Link 1505

Ortega-Farías, S.[Samuel], Ortega-Salazar, S.[Samuel], Poblete, T.[Tomas], Kilic, A.[Ayse], Allen, R.[Richard], Poblete-Echeverría, C.[Carlos], Ahumada-Orellana, L.[Luis], Zuñiga, M.[Mauricio], Sepúlveda, D.[Daniel],
Estimation of Energy Balance Components over a Drip-Irrigated Olive Orchard Using Thermal and Multispectral Cameras Placed on a Helicopter-Based Unmanned Aerial Vehicle (UAV),
RS(8), No. 8, 2016, pp. 638.
DOI Link 1609

Fernández, T.[Tomás], Pérez, J.L.[José Luis], Cardenal, J.[Javier], Gómez, J.M.[José Miguel], Colomo, C.[Carlos], Delgado, J.[Jorge],
Analysis of Landslide Evolution Affecting Olive Groves Using UAV and Photogrammetric Techniques,
RS(8), No. 10, 2016, pp. 837.
DOI Link 1609

Rey, B.[Beatriz], Aleixos, N.[Nuria], Cubero, S.[Sergio], Blasco, J.[José],
Xf-Rovim. A Field Robot to Detect Olive Trees Infected by Xylella Fastidiosa Using Proximal Sensing,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902

Sancho-Adamson, M.[Marc], Trillas, M.I.[Maria Isabel], Bort, J.[Jordi], Fernandez-Gallego, J.A.[Jose Armando], Romanyà, J.[Joan],
Use of RGB Vegetation Indexes in Assessing Early Effects of Verticillium Wilt of Olive in Asymptomatic Plants in High and Low Fertility Scenarios,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903

Avola, G.[Giovanni], Gennaro, S.F.D.[Salvatore Filippo Di], Cantini, C.[Claudio], Riggi, E.[Ezio], Muratore, F.[Francesco], Tornambè, C.[Calogero], Matese, A.[Alessandro],
Remotely Sensed Vegetation Indices to Discriminate Field-Grown Olive Cultivars,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906

Lima-Cueto, F.J.[Francisco J.], Blanco-Sepúlveda, R.[Rafael], Gómez-Moreno, M.L.[María L.], Galacho-Jiménez, F.B.[Federico B.],
Using Vegetation Indices and a UAV Imaging Platform to Quantify the Density of Vegetation Ground Cover in Olive Groves (Olea Europaea L.) in Southern Spain,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911

Noguera, M.[Miguel], Millán, B.[Borja], Pérez-Paredes, J.J.[Juan José], Ponce, J.M.[Juan Manuel], Aquino, A.[Arturo], Andújar, J.M.[José Manuel],
A New Low-Cost Device Based on Thermal Infrared Sensors for Olive Tree Canopy Temperature Measurement and Water Status Monitoring,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003

Salamí, E.[Esther], Gallardo, A.[Antonia], Skorobogatov, G.[Georgy], Barrado, C.[Cristina],
On-the-Fly Olive Tree Counting Using a UAS and Cloud Services,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902

Waleed, M.[Muhammad], Um, T.W.[Tai-Won], Khan, A.[Aftab], Khan, U.[Umair],
Automatic Detection System of Olive Trees Using Improved K-Means Algorithm,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003

Jurado, J.M., Ortega, L., Cubillas, J.J., Feito, F.R.,
Multispectral Mapping on 3D Models and Multi-Temporal Monitoring for Individual Characterization of Olive Trees,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004

Milicevic, M.[Mario], Zubrinic, K.[Krunoslav], Grbavac, I.[Ivan], Obradovic, I.[Ines],
Application of Deep Learning Architectures for Accurate Detection of Olive Tree Flowering Phenophase,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007

Santos-Rufo, A.[Antonio], Mesas-Carrascosa, F.J.[Francisco-Javier], García-Ferrer, A.[Alfonso], Meroño-Larriva, J.E.[Jose Emilio],
Wavelength Selection Method Based on Partial Least Square from Hyperspectral Unmanned Aerial Vehicle Orthomosaic of Irrigated Olive Orchards,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010

Fernández, T.[Tomás], Pérez-García, J.L.[José Luis], Gómez-López, J.M.[José Miguel], Cardenal, J.[Javier], Calero, J.[Julio], Sánchez-Gómez, M.[Mario], Delgado, J.[Jorge], Tovar-Pescador, J.[Joaquín],
Multitemporal Analysis of Gully Erosion in Olive Groves by Means of Digital Elevation Models Obtained with Aerial Photogrammetric and LiDAR Data,
IJGI(9), No. 4, 2020, pp. xx-yy.
DOI Link 2005

Castrignanò, A.[Annamaria], Belmonte, A.[Antonella], Antelmi, I.[Ilaria], Quarto, R.[Ruggiero], Quarto, F.[Francesco], Shaddad, S.[Sameh], Sion, V.[Valentina], Muolo, M.R.[Maria Rita], Ranieri, N.A.[Nicola A.], Gadaleta, G.[Giovanni], Bartoccetti, E.[Edoardo], Riefolo, C.[Carmela], Ruggieri, S.[Sergio], Nigro, F.[Franco],
Semi-Automatic Method for Early Detection of Xylella fastidiosa in Olive Trees Using UAV Multispectral Imagery and Geostatistical-Discriminant Analysis,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101

Azpiroz, I.[Izar], Oses, N.[Noelia], Quartulli, M.[Marco], Olaizola, I.G.[Igor G.], Guidotti, D.[Diego], Marchi, S.[Susanna],
Comparison of Climate Reanalysis and Remote-Sensing Data for Predicting Olive Phenology through Machine-Learning Methods,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104

Lin, C.X.[Chen-Xi], Jin, Z.N.[Zhe-Nong], Mulla, D.[David], Ghosh, R.[Rahul], Guan, K.Y.[Kai-Yu], Kumar, V.[Vipin], Cai, Y.P.[Ya-Ping],
Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
And: Correction: RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301

Poblete, T., Navas-Cortes, J.A., Camino, C., Calderon, R., Hornero, A., Gonzalez-Dugo, V., Landa, B.B., Zarco-Tejada, P.J.,
Discriminating Xylella fastidiosa from Verticillium dahliae infections in olive trees using thermal- and hyperspectral-based plant traits,
PandRS(179), 2021, pp. 133-144.
Elsevier DOI 2108
Hyperspectral, Thermal, Machine learning, Plant traits, , BibRef

Šiljeg, A.[Ante], Panda, L.[Lovre], Domazetovic, F.[Fran], Maric, I.[Ivan], Gašparovic, M.[Mateo], Borisov, M.[Mirko], Miloševic, R.[Rina],
Comparative Assessment of Pixel and Object-Based Approaches for Mapping of Olive Tree Crowns Based on UAV Multispectral Imagery,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202

Ye, Z.X.[Zhang-Xi], Wei, J.H.[Jia-Hao], Lin, Y.W.[Yu-Wei], Guo, Q.[Qian], Zhang, J.[Jian], Zhang, H.[Houxi], Deng, H.[Hui], Yang, K.J.[Kai-Jie],
Extraction of Olive Crown Based on UAV Visible Images and the U2-Net Deep Learning Model,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204

Roma, E.[Eliseo], Catania, P.[Pietro],
Precision Oliviculture: Research Topics, Challenges, and Opportunities: A Review,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205

Messina, G.[Gaetano], Modica, G.[Giuseppe],
Twenty Years of Remote Sensing Applications Targeting Landscape Analysis and Environmental Issues in Olive Growing: A Review,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212

Messina, G.[Gaetano], Modica, G.[Giuseppe],
The Role of Remote Sensing in Olive Growing Farm Management: A Research Outlook from 2000 to the Present in the Framework of Precision Agriculture Applications,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212

Navrozidis, I.[Ioannis], Alexandridis, T.[Thomas], Moshou, D.[Dimitrios], Haugommard, A.[Anne], Lagopodi, A.[Anastasia],
Implementing Sentinel-2 Data and Machine Learning to Detect Plant Stress in Olive Groves,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212

Navarro, R.[Rebecca], Wirkus, L.[Lars], Dubovyk, O.[Olena],
Spatio-Temporal Assessment of Olive Orchard Intensification in the Saiss Plain (Morocco) Using k-Means and High-Resolution Satellite Data,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301

Belmonte, A.[Antonella], Gadaleta, G.[Giovanni], Castrignanò, A.[Annamaria],
Use of Geostatistics for Multi-Scale Spatial Modeling of Xylella fastidiosa subsp. pauca (Xfp) Infection with Unmanned Aerial Vehicle Image,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302

Fernández, T., Gómez-Lopez, J.M., Pérez-García, J.L., Cardenal, J., Delgado, J., Mata, E., Sánchez-Gómez, M., Calero, J., Tovar-Pescador, J., Moya, F.,
Analysis of Gully Erosion In A Catchment Area In Olive Groves Using Uas Photogrammetry Techniques,
DOI Link 2012

González, J., Galindo, C., Arevalo, V., Ambrosio, G.,
Applying Image Analysis and Probabilistic Techniques for Counting Olive Trees in High-Resolution Satellite Images,
Springer DOI 0708

Pina, P.[Pedro], Barata, T.[Teresa], Bandeira, L.[Lourenco],
Morphological recognition of the spatial patterns of olive trees,
ICPR06(IV: 845-848).
Structural Texture. BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Citrus Trees, Orchards, Diseases .

Last update:Jun 1, 2023 at 10:05:03