| Evapotranspiration and crop coefficients for a super intensive olive orchard. An application of SIMDualKc and METRIC models using ground and satellite observations TA Paço, I Pôças, M Cunha, JC Silvestre, FL Santos, P Paredes, ... Journal of hydrology 519, 2067-2080, 2014 | 149 | 2014 |
| Airborne pollen concentration in the region of Braga, Portugal, and its relationship with meteorological parameters H Ribeiro, M Cunha, I Abreu Aerobiologia 19, 21-27, 2003 | 128 | 2003 |
| Remote sensing for estimating and mapping single and basal crop coefficientes: A review on spectral vegetation indices approaches I Pôças, A Calera, I Campos, M Cunha Agricultural Water Management 233, 106081, 2020 | 121 | 2020 |
| Assessing the ability of image processing software to analyse spray quality on water-sensitive papers used as artificial targets M Cunha, C Carvalho, ARS Marcal Biosystems engineering 111 (1), 11-23, 2012 | 118 | 2012 |
| Evaluating the single-shot multibox detector and YOLO deep learning models for the detection of tomatoes in a greenhouse SA Magalhães, L Castro, G Moreira, FN Dos Santos, M Cunha, J Dias, ... Sensors 21 (10), 3569, 2021 | 116 | 2021 |
| Smartphone applications targeting precision agriculture practices—A systematic review J Mendes, TM Pinho, F Neves dos Santos, JJ Sousa, E Peres, ... Agronomy 10 (6), 855, 2020 | 112 | 2020 |
| Association of financial or professional conflict of interest to research outcomes on health risks or nutritional assessment studies of genetically modified products J Diels, M Cunha, C Manaia, B Sabugosa-Madeira, M Silva Food Policy 36 (2), 197-203, 2011 | 109 | 2011 |
| Assessing how green space types affect ecosystem services delivery in Porto, Portugal M Graça, P Alves, J Gonçalves, DJ Nowak, R Hoehn, P Farinha-Marques, ... Landscape and Urban Planning 170, 195-208, 2018 | 108 | 2018 |
| Estimation of actual crop coefficients using remotely sensed vegetation indices and soil water balance modelled data I Pôças, TA Paço, P Paredes, M Cunha, LS Pereira Remote Sensing 7 (3), 2373-2400, 2015 | 102 | 2015 |
| Remote sensing based indicators of changes in a mountain rural landscape of Northeast Portugal I Pôças, M Cunha, LS Pereira Applied Geography 31 (3), 871-880, 2011 | 101 | 2011 |
| Very early prediction of wine yield based on satellite data from VEGETATION M Cunha, ARS Marcal, L Silva International Journal of Remote Sensing 31 (12), 3125-3142, 2010 | 100 | 2010 |
| Predicting grapevine water status based on hyperspectral reflectance vegetation indices I Pôças, A Rodrigues, S Gonçalves, PM Costa, I Gonçalves, LS Pereira, ... Remote sensing 7 (12), 16460-16479, 2015 | 79 | 2015 |
| Satellite-based evapotranspiration of a super-intensive olive orchard: Application of METRIC algorithms I Pôças, TA Paço, M Cunha, JA Andrade, J Silvestre, A Sousa, FL Santos, ... Biosystems Engineering 128, 69-81, 2014 | 73 | 2014 |
| Using remote sensing energy balance and evapotranspiration to characterize montane landscape vegetation with focus on grass and pasture lands I Pôças, M Cunha, LS Pereira, RG Allen International Journal of Applied Earth Observation and Geoinformation 21 …, 2013 | 71 | 2013 |
| QPhenoMetrics: An open source software application to assess vegetation phenology metrics L Duarte, AC Teodoro, AT Monteiro, M Cunha, H Gonçalves Computers and Electronics in Agriculture 148, 82-94, 2018 | 70 | 2018 |
| Airborne pollen samples for early-season estimates of wine production in a Mediterranean climate area of northern Portugal M Cunha, I Abreu, P Pinto, R de Castro American Journal of Enology and Viticulture 54 (3), 189-194, 2003 | 69 | 2003 |
| An aeropalynological study of the Porto region (Portugal) I Abreu, H Ribeiro, M Cunha Aerobiologia 19, 235-241, 2003 | 66 | 2003 |
| Image processing of artificial targets for automatic evaluation of spray quality ARS Marçal, M Cunha Transactions of the ASABE 51 (3), 811-821, 2008 | 65 | 2008 |
| Assessing soil erosion risk using RUSLE through a GIS open source desktop and web application L Duarte, AC Teodoro, JA Gonçalves, D Soares, M Cunha Environmental monitoring and assessment 188, 1-16, 2016 | 62 | 2016 |
| Machine learning-based approaches for predicting SPAD values of maize using multi-spectral images Y Guo, S Chen, X Li, M Cunha, S Jayavelu, D Cammarano, Y Fu Remote Sensing 14 (6), 1337, 2022 | 61 | 2022 |
