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Mário Manuel de Miranda Furtado Campos Cunha

AuthID: R-000-CYC

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Confirmed Publications: 146

41

TITLE: Machine Learning-Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images Full Text
AUTHORS: Guo, Yahui; Chen, Shouzhi; Li, Xinxi; Cunha, Mario ; Jayavelu, Senthilnath; Cammarano, Davide; Fu, Yongshuo;
PUBLISHED: 2022, SOURCE: REMOTE SENSING, VOLUME: 14, ISSUE: 6

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42

TITLE: Monitoring Plant Diversity to Support Agri-Environmental Schemes: Evaluating Statistical Models Informed by Satellite and Local Factors in Southern European Mountain Pastoral Systems Full Text
AUTHORS: Monteiro, AT; Alves, P; Carvalho-Santos, Claudia ; Lucas, R; Cunha, M ; da Costa, EM; Fava, F;
PUBLISHED: 2022, SOURCE: DIVERSITY-BASEL, VOLUME: 14, ISSUE: 1

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43

TITLE: The Phenolic Composition of Hops (Humulus lupulus L.) Was Highly Influenced by Cultivar and Year and Little by Soil Liming or Foliar Spray Rich in Nutrients or Algae
AUTHORS: Afonso, Sandra; Dias, Maria Ines; Ferreira, Isabel C. F. R.; Arrobas, Margarida ; Cunha, Mario ; Barros, Lillian; Rodrigues, Manuel Angelo ;
PUBLISHED: 2022, SOURCE: HORTICULTURAE, VOLUME: 8, ISSUE: 5

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44

TITLE: Unscrambling spectral interference and matrix effects in Vitis vinifera Vis-NIR spectroscopy: Towards analytical grade 'in vivo' sugars and acids quantification Full Text
AUTHORS: Martins, RC; Barroso, TG ; Jorge, P ; Cunha, M ; Santos, F ;
PUBLISHED: 2022, SOURCE: COMPUTERS AND ELECTRONICS IN AGRICULTURE, VOLUME: 194

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45

TITLE: A Framework for Multi-Dimensional Assessment of Wildfire Disturbance Severity from Remotely Sensed Ecosystem Functioning Attributes Full Text
AUTHORS: Marcos, B; Goncalves, J; Alcaraz Segura, D; Cunha, M ; Honrado, JP ;
PUBLISHED: 2021, SOURCE: REMOTE SENSING, VOLUME: 13, ISSUE: 4

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46

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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47

TITLE: Assessing the performance of different OBIA software approaches for mapping invasive alien plants along roads with remote sensing data Full Text
AUTHORS: Lourenco, P; Teodoro, AC ; Goncalves, JA ; Honrado, JP ; Cunha, M ; Sillero, N ;
PUBLISHED: 2021, SOURCE: INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, VOLUME: 95

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48

TITLE: Comparing Hydric Erosion Soil Loss Models in Rainy Mountainous and Dry Flat Regions in Portugal
AUTHORS: Duarte, L ; Cunha, M ; Teodoro, AC ;
PUBLISHED: 2021, SOURCE: LAND, VOLUME: 10, ISSUE: 6

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49

TITLE: Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse Full Text
AUTHORS: Sandro Augusto Magalhaes ; Luis Castro; Germano Moreira ; Filipe Neves dos Santos ; Mario Cunha ; Jorge Dias; Antonia Paulo Moreira ;
PUBLISHED: 2021, SOURCE: SENSORS, VOLUME: 21, ISSUE: 10

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50

TITLE: Integrating Spectral and Textural Information for Monitoring the Growth of Pear Trees Using Optical Images from the UAV Platform Full Text
AUTHORS: Guo, YH; Chen, SZ; Wu, ZF; Wang, SX; Bryant, CR; Senthilnath, J; Cunha, M ; Fu, YSH;
PUBLISHED: 2021, SOURCE: REMOTE SENSING, VOLUME: 13, ISSUE: 9

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Page 5 of 15. Total results: 146.

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