Mário Cunha

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 13

Top Topics

Top Venues

Comput. Electron. Agric.

Int. J. Appl. Earth Obs. Geoinformation

Publications

Manuel F. Silva, C. Queirós, M. Pereira, Tatiana M. Pinho, Teresa Barroso, Sandro Magalhães, J. Boaventura, Filipe Santos, Mário Cunha, Rui Costa Martins
Precision Fertilization: A critical review analysis on sensing technologies for nitrogen, phosphorous and potassium quantification. Comput. Electron. Agric. 224 (2024)
Daniel Queirós da Silva, Filipe Louro, Filipe Neves dos Santos, Vítor Filipe, Armando Jorge Miranda de Sousa, Mário Cunha, José Luís Carvalho
Assessing Soil Ripping Depth for Precision Forestry with a Cost-Effective Contactless Sensing System. ROBOT (2) (2023)
Marcos Norberto, Neftalí Sillero, João Coimbra, Mário Cunha
Filling the maize yield gap based on precision agriculture - A MaxEnt approach. Comput. Electron. Agric. 211 (2023)
Rui Costa Martins, T. Barroso, Pedro A. S. Jorge, Mário Cunha, F. Santos
Vis-NIR spectroscopy: Towards analytical grade 'in vivo' sugars and acids quantification. Comput. Electron. Agric. 194 (2022)
Pedro Moreira, Lia Duarte, Mário Cunha, Ana C. Teodoro
Modeling Spatial-Temporal Wine Yield Based on Land Surface Temperature, Vegetation Indices and GIS - The Case of the Douro Wine Region. IGARSS (2021)
Sandro Augusto Magalhães, Luís Castro, Germano Moreira, Filipe N. Santos, Mário Cunha, Jorge Dias, António Paulo Moreira
Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse. CoRR (2021)
Sandro Augusto Magalhães, Luís Castro, Germano Moreira, Filipe Neves dos Santos, Mário Cunha, Jorge Dias, António Paulo Moreira
Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse. Sensors 21 (10) (2021)
Tiago Cerveira Padilha, Germano Moreira, Sandro Augusto Magalhães, Filipe Neves dos Santos, Mário Cunha, Miguel Oliveira
Tomato Detection Using Deep Learning for Robotics Application. EPIA (2021)
Bruno Marcos, João F. Gonçalves, Domingo Alcaraz-Segura, Mário Cunha, João P. Honrado
A Framework for Multi-Dimensional Assessment of Wildfire Disturbance Severity from Remotely Sensed Ecosystem Functioning Attributes. Remote. Sens. 13 (4) (2021)
P. Lourenço, Ana C. Teodoro, José Alberto Gonçalves, João P. Honrado, Mário Cunha, Neftalí Sillero
Assessing the performance of different OBIA software approaches for mapping invasive alien plants along roads with remote sensing data. Int. J. Appl. Earth Obs. Geoinformation 95 (2021)
Sosdito Mananze, Isabel Pôças, Mário Cunha
Mapping and Assessing the Dynamics of Shifting Agricultural Landscapes Using Google Earth Engine Cloud Computing, a Case Study in Mozambique. Remote. Sens. 12 (8) (2020)
Bruno Marcos, João F. Gonçalves, Domingo Alcaraz-Segura, Mário Cunha, João P. Honrado
Improving the detection of wildfire disturbances in space and time based on indicators extracted from MODIS data: a case study in northern Portugal. Int. J. Appl. Earth Obs. Geoinformation 78 (2019)
Lia Duarte, Ana C. Teodoro, António T. Monteiro, Mário Cunha, Hernâni Gonçalves
QPhenoMetrics: An open source software application to assess vegetation phenology metrics. Comput. Electron. Agric. 148 (2018)