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Identified 6

1

TITLE: Canopy VIS-NIR spectroscopy and self-learning artificial intelligence for a generalised model of predawn leaf water potential in Vitis vinifera Full Text
AUTHORS: Tosin, Renan ; Martins, Rui ; Pocas, Isabel; Cunha, Mario ;
PUBLISHED: 2022, SOURCE: BIOSYSTEMS ENGINEERING, VOLUME: 219

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2

TITLE: Assessing predawn leaf water potential based on hyperspectral data and pigment's concentration of Vitis vinifera L. in the Douro Wine Region Full Text
AUTHORS: Tosin, R ; Pocas, I; Novo, H; Jorge Teixeira ; Fontes, N; Graca, A; Cunha, M ;
PUBLISHED: 2021, SOURCE: SCIENTIA HORTICULTURAE, VOLUME: 278

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3

TITLE: Toward a generalized predictive model of grapevine water status in Douro region from hyperspectral data Full Text
AUTHORS: Pocas, I; Tosin, R ; Goncalves, I; Cunha, M ;
PUBLISHED: 2020, SOURCE: AGRICULTURAL AND FOREST METEOROLOGY, VOLUME: 280

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4

TITLE: Remote sensing for estimating and mapping single and basal crop coefficientes: A review on spectral vegetation indices approaches Full Text
AUTHORS: Pocas, I; Calera, A; Campos, I; Cunha, M ;
PUBLISHED: 2020, SOURCE: AGRICULTURAL WATER MANAGEMENT, VOLUME: 233

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5

TITLE: Estimation of grapevine predawn leaf water potential based on hyperspectral reflectance data in Douro wine region
AUTHORS: Tosin, R ; Pocas, I; Goncalves, I; Cunha, M ;
PUBLISHED: 2020, SOURCE: VITIS, VOLUME: 59, ISSUE: 1

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6

TITLE: Mapping and Assessing the Dynamics of Shifting Agricultural Landscapes Using Google Earth Engine Cloud Computing, a Case Study in Mozambique Full Text
AUTHORS: Sosdito Mananze; Isabel Pocas; Mario Cunha ;
PUBLISHED: 2020, SOURCE: REMOTE SENSING, VOLUME: 12, ISSUE: 8

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Scopus

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