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Helder Fraga, Malik Amraoui, Aureliano C. Malheiro, José Moutinho-Pereira, José Eiras-Dias, José Silvestre & João A. Santos. (2014) Examining the relationship between the Enhanced Vegetation Index and grapevine phenology. European Journal of Remote Sensing 47:1, pages 753-771.
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Andrew Hall & MarkA. Wilson. (2013) Object-based analysis of grapevine canopy relationships with winegrape composition and yield in two contrasting vineyards using multitemporal high spatial resolution optical remote sensing. International Journal of Remote Sensing 34:5, pages 1772-1797.
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AdamJ. Mathews & JenniferL. R. Jensen. (2012) An airborne LiDAR-based methodology for vineyard parcel detection and delineation. International Journal of Remote Sensing 33:16, pages 5251-5267.
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Isabel Poças, Mário Cunha & LuisS. Pereira. (2012) Dynamics of mountain semi-natural grassland meadows inferred from SPOT-VEGETATION and field spectroradiometer data. International Journal of Remote Sensing 33:14, pages 4334-4355.
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J. David Ballester-Berman, Idoia Garmendia-Lopez, Juan M. Lopez-Sanchez & Victor J. Mangas-Martin. (2012) Analysis of the polarimetric response of vineyards at C-band. Canadian Journal of Remote Sensing 38:3, pages 223-239.
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Adel M. Al-Saif, Moustafa A. Fahmy, Galal A. Baghdady, Ahmed M. Abd El-Razik, Elbaz A. Kabsha, Mohammed H. Farouk & Ashraf E. Hamdy. (2023) The Impact of Bud Load on Berry Quality, Yield, and Cluster Compactness in H4 Strain Grapevines. Agronomy 13:9, pages 2431.
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Christos Dimitrios Papanikolaou & Maria Andreas Sakellariou-Makrantonaki. (2023) Estimation of corn coefficients with vegetation indices using multispectral camera and drone. Research in Agricultural Engineering 69:1, pages 36-47.
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André Barriguinha, Bruno Jardim, Miguel de Castro Neto & Artur Gil. (2022) Using NDVI, climate data and machine learning to estimate yield in the Douro wine region. International Journal of Applied Earth Observation and Geoinformation 114, pages 103069.
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Noa Ohana-Levi, Feng Gao, Kyle Knipper, William P. Kustas, Martha C. Anderson, Maria del Mar Alsina, Luis A. Sanchez & Arnon Karnieli. (2021) Time-series clustering of remote sensing retrievals for defining management zones in a vineyard. Irrigation Science 40:4-5, pages 801-815.
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Dhanashree K. Barbole & Parul M. Jadhav. (2022) Grape Yield Prediction using Deep Learning Regression Model. Grape Yield Prediction using Deep Learning Regression Model.
Sandra N. Fredes, Luis Á. Ruiz & Jorge A. Recio. (2021) Modeling Phenols, Anthocyanins and Color Intensity of Wine Using Pre-Harvest Sentinel-2 Images. Remote Sensing 13:23, pages 4951.
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Cécile Laurent, Baptiste Oger, James Arnold Taylor, Thibaut Scholasch, Aurelie Metay & Bruno Tisseyre. (2021) A review of the issues, methods and perspectives for yield estimation, prediction and forecasting in viticulture. European Journal of Agronomy 130, pages 126339.
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André Barriguinha, Miguel de Castro Neto & Artur Gil. (2021) Vineyard Yield Estimation, Prediction, and Forecasting: A Systematic Literature Review. Agronomy 11:9, pages 1789.
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Susan S. Hubbard, Myriam Schmutz, Abdoulaye Balde, Nicola Falco, Luca Peruzzo, Baptiste Dafflon, Emmanuel Léger & Yuxin Wu. (2021) Estimation of soil classes and their relationship to grapevine vigor in a Bordeaux vineyard: advancing the practical joint use of electromagnetic induction (EMI) and NDVI datasets for precision viticulture. Precision Agriculture 22:4, pages 1353-1376.
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Sandra N. Fredes, Luis Á. Ruiz & Jorge A. Recio. (2021) Modeling °Brix and pH in Wine Grapes from Satellite Images in Colchagua Valley, Chile. Agriculture 11:8, pages 697.
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P. Moreira, L. Duarte, M. Cunha & A.C. Teodoro. (2021) Modeling SP Atial-Temporal Wine Yield Based on Land Surface Temperature, Vegetation Indices and GIS - The Case of the Douro Wine Region. Modeling SP Atial-Temporal Wine Yield Based on Land Surface Temperature, Vegetation Indices and GIS - The Case of the Douro Wine Region.
Rigas Giovos, Dimitrios Tassopoulos, Dionissios Kalivas, Nestor Lougkos & Anastasia Priovolou. (2021) Remote Sensing Vegetation Indices in Viticulture: A Critical Review. Agriculture 11:5, pages 457.
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Nicoleta Darra, Emmanouil Psomiadis, Aikaterini Kasimati, Achilleas Anastasiou, Evangelos Anastasiou & Spyros Fountas. (2021) Remote and Proximal Sensing-Derived Spectral Indices and Biophysical Variables for Spatial Variation Determination in Vineyards. Agronomy 11:4, pages 741.
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Jonathan Jaramillo, Justine Vanden Heuvel & Kirstin H. Petersen. (2021) Low-Cost, Computer Vision-Based, Prebloom Cluster Count Prediction in Vineyards. Frontiers in Agronomy 3.
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Jonas Koehler & Claudia Kuenzer. (2020) Forecasting Spatio-Temporal Dynamics on the Land Surface Using Earth Observation Data—A Review. Remote Sensing 12:21, pages 3513.
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Alexey Stepanov, Konstantin Dubrovin, Aleksei Sorokin & Tatiana Aseeva. (2020) Predicting Soybean Yield at the Regional Scale Using Remote Sensing and Climatic Data. Remote Sensing 12:12, pages 1936.
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Alessia Cogato, Franco Meggio, Cassandra Collins & Francesco Marinello. (2020) Medium-Resolution Multispectral Data from Sentinel-2 to Assess the Damage and the Recovery Time of Late Frost on Vineyards. Remote Sensing 12:11, pages 1896.
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J. Antonio Cortiñas, María Fernández-González, Estefanía González-Fernández, Rosa A. Vázquez-Ruiz, F. Javier Rodríguez-Rajo & M. Jesús Aira. (2020) Phenological behaviour of the autochthonous godello and mencía grapevine varieties in two designation origin areas of the NW Spain. Scientia Horticulturae 265, pages 109221.
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Mario Cunha & Christian Richter. (2020) Climate-induced cyclical properties of regional wine production using a time-frequency approach in Douro and Minho Wine Regions. Ciência e Técnica Vitivinícola 35:1, pages 16-29.
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Alessia Cogato, Vinay Pagay, Francesco Marinello, Franco Meggio, Peter Grace & Massimiliano De Antoni Migliorati. (2019) Assessing the Feasibility of Using Sentinel-2 Imagery to Quantify the Impact of Heatwaves on Irrigated Vineyards. Remote Sensing 11:23, pages 2869.
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Longcai Zhao, Qiangzi Li, Yuan Zhang, Hongyan Wang & Xin Du. (2019) Integrating the Continuous Wavelet Transform and a Convolutional Neural Network to Identify Vineyard Using Time Series Satellite Images. Remote Sensing 11:22, pages 2641.
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Manisha S. Sirsat, João Mendes-Moreira, Carlos Ferreira & Mario Cunha. (2019) Machine Learning predictive model of grapevine yield based on agroclimatic patterns. Engineering in Agriculture, Environment and Food 12:4, pages 443-450.
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Chris Hacking, Nitesh Poona, Nicola Manzan & Carlos Poblete-Echeverría. (2019) Investigating 2-D and 3-D Proximal Remote Sensing Techniques for Vineyard Yield Estimation. Sensors 19:17, pages 3652.
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Dominique Henry, Herve Aubert & Thierry Veronese. (2019) Proximal Radar Sensors for Precision Viticulture. IEEE Transactions on Geoscience and Remote Sensing 57:7, pages 4624-4635.
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Patricia Malva Costa, Isabel Pôças & Mário Cunha. (2019) Modelling evapotranspiration of soilless cut roses 'Red Naomi' based on climatic and crop predictors. Horticultural Science 46:2, pages 107-114.
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Francisco Manuel Jiménez-Brenes, Francisca López-Granados, Jorge Torres-Sánchez, José Manuel Peña, Pilar Ramírez, Isabel Luisa Castillejo-González & Ana Isabel de Castro. (2019) Automatic UAV-based detection of Cynodon dactylon for site-specific vineyard management. PLOS ONE 14:6, pages e0218132.
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Clarisse Magarreiro, Célia Gouveia, Carla Barroso & Isabel Trigo. (2019) Modelling of Wine Production Using Land Surface Temperature and FAPAR—The Case of the Douro Wine Region. Remote Sensing 11:6, pages 604.
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Bing Yu & Songhao Shang. (2018) Multi-Year Mapping of Major Crop Yields in an Irrigation District from High Spatial and Temporal Resolution Vegetation Index. Sensors 18:11, pages 3787.
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Lia Duarte, Ana C. Teodoro, António T. Monteiro, Mário Cunha & Hernâni Gonçalves. (2018) QPhenoMetrics: An open source software application to assess vegetation phenology metrics. Computers and Electronics in Agriculture 148, pages 82-94.
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F. Terribile, A. Bonfante, A. D'Antonio, R. De Mascellis, C. De Michele, G. Langella, P. Manna, F.A. Mileti, S. Vingiani & A. Basile. (2017) A geospatial decision support system for supporting quality viticulture at the landscape scale. Computers and Electronics in Agriculture 140, pages 88-102.
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H. Fraga & J.A. Santos. (2017) Daily prediction of seasonal grapevine production in the Douro wine region based on favourable meteorological conditions. Australian Journal of Grape and Wine Research 23:2, pages 296-304.
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Liang Sun, Feng Gao, Martha Anderson, William Kustas, Maria Alsina, Luis Sanchez, Brent Sams, Lynn McKee, Wayne Dulaney, William White, Joseph Alfieri, John Prueger, Forrest Melton & Kirk Post. (2017) Daily Mapping of 30 m LAI and NDVI for Grape Yield Prediction in California Vineyards. Remote Sensing 9:4, pages 317.
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Francesca Orlando, Ermes Movedi, Davide Coduto, Simone Parisi, Lucio Brancadoro, Valentina Pagani, Tommaso Guarneri & Roberto Confalonieri. (2016) Estimating Leaf Area Index (LAI) in Vineyards Using the PocketLAI Smart-App. Sensors 16:12, pages 2004.
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Mario Cunha & Christian Richter. (2016) The impact of climate change on the winegrape vineyards of the Portuguese Douro region. Climatic Change 138:1-2, pages 239-251.
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Crossref
Ana Costa, Isabel Pôças & Mário Cunha. (2016) Estimating the Leaf Area of Cut Roses in Different Growth Stages Using Image Processing and Allometrics. Horticulturae 2:3, pages 6.
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Crossref
Mário Cunha, Helena Ribeiro & Ilda Abreu. (2016) Pollen-based predictive modelling of wine production: application to an arid region. European Journal of Agronomy 73, pages 42-54.
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Crossref
Davinia Font, Marcel Tresanchez, Dani Martínez, Javier Moreno, Eduard Clotet & Jordi Palacín. (2015) Vineyard Yield Estimation Based on the Analysis of High Resolution Images Obtained with Artificial Illumination at Night. Sensors 15:4, pages 8284-8301.
Crossref
Crossref
Mário Cunha, Helena Ribeiro, Paulo Costa & Ilda Abreu. (2014) A comparative study of vineyard phenology and pollen metrics extracted from airborne pollen time series. Aerobiologia 31:1, pages 45-56.
Crossref
Crossref
Isabel Pôças, Teresa Paço, Paula Paredes, Mário Cunha & Luís Pereira. (2015) Estimation of Actual Crop Coefficients Using Remotely Sensed Vegetation Indices and Soil Water Balance Modelled Data. Remote Sensing 7:3, pages 2373-2400.
Crossref
Crossref
Ricardo Costa, Helder Fraga, Aureliano C. Malheiro & João A. Santos. (2015) Application of crop modelling to portuguese viticulture: implementation and added-values for strategic planning. Ciência e Técnica Vitivinícola 30:1, pages 29-42.
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Crossref
Mario Cunha & Christian Richter. (2014) A Time–Frequency Analysis on the Impact of Climate Variability on Semi-Natural Mountain Meadows. IEEE Transactions on Geoscience and Remote Sensing 52:10, pages 6156-6164.
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Crossref
Helder Fraga, Aureliano C. Malheiro, José Moutinho-Pereira, Rita M. Cardoso, Pedro M. M. Soares, Javier J. Cancela, Joaquim G. Pinto & João A. Santos. (2014) Integrated Analysis of Climate, Soil, Topography and Vegetative Growth in Iberian Viticultural Regions. PLoS ONE 9:9, pages e108078.
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Betty Mulianga, Agnès Bégué, Margareth Simoes & Pierre Todoroff. (2013) Forecasting Regional Sugarcane Yield Based on Time Integral and Spatial Aggregation of MODIS NDVI. Remote Sensing 5:5, pages 2184-2199.
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Isabel Pôças, Mário Cunha, Luís S. Pereira & Richard G. Allen. (2013) Using remote sensing energy balance and evapotranspiration to characterize montane landscape vegetation with focus on grass and pasture lands. International Journal of Applied Earth Observation and Geoinformation 21, pages 159-172.
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Adam J. Mathews. (2013) Applying Geospatial Tools and Techniques to Viticulture. Geography Compass 7:1, pages 22-34.
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Diego Tomasi, Federica Gaiotti & Gregory V. JonesDiego Tomasi, Federica Gaiotti & Gregory V. Jones. 2013. The Power of the Terroir: the Case Study of Prosecco Wine. The Power of the Terroir: the Case Study of Prosecco Wine
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Mário Cunha & Christian Richter. (2011) Measuring the impact of temperature changes on the wine production in the Douro Region using the short time fourier transform. International Journal of Biometeorology 56:2, pages 357-370.
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