| Intercomparison of UAV, aircraft and satellite remote sensing platforms for precision viticulture A Matese, P Toscano, SF Di Gennaro, L Genesio, FP Vaccari, J Primicerio, ... Remote Sensing 7 (3), 2971-2990, 2015 | 814 | 2015 |
| A flexible unmanned aerial vehicle for precision agriculture J Primicerio, SF Di Gennaro, E Fiorillo, L Genesio, E Lugato, A Matese, ... Precision Agriculture 13 (4), 517-523, 2012 | 547 | 2012 |
| Forestry applications of UAVs in Europe: A review C Torresan, A Berton, F Carotenuto, SF Di Gennaro, B Gioli, A Matese, ... International journal of remote sensing 38 (8-10), 2427-2447, 2017 | 546 | 2017 |
| High-resolution UAV-based thermal imaging to estimate the instantaneous and seasonal variability of plant water status within a vineyard LG Santesteban, SF Di Gennaro, A Herrero-Langreo, C Miranda, JB Royo, ... Agricultural Water Management 183, 49-59, 2017 | 313 | 2017 |
| Technology in precision viticulture: A state of the art review A Matese, S Filippo Di Gennaro International journal of wine research, 69-81, 2015 | 260 | 2015 |
| A wireless sensor network for precision viticulture: The NAV system A Matese, SF Di Gennaro, A Zaldei, L Genesio, FP Vaccari Computers and electronics in agriculture 69 (1), 51-58, 2009 | 203 | 2009 |
| Practical applications of a multisensor UAV platform based on multispectral, thermal and RGB high resolution images in precision viticulture A Matese, SF Di Gennaro Agriculture 8 (7), 116, 2018 | 176 | 2018 |
| Unmanned Aerial Vehicle (UAV)-based remote sensing to monitor grapevine leaf stripe disease within a vineyard affected by esca complex SF Di Gennaro, E Battiston, S Di Marco, O Facini, A Matese, M Nocentini, ... Phytopathologia Mediterranea, 262-275, 2016 | 157 | 2016 |
| Estimation of water stress in grapevines using proximal and remote sensing methods A Matese, R Baraldi, A Berton, C Cesaraccio, SF Di Gennaro, P Duce, ... Remote Sensing 10 (1), 114, 2018 | 154 | 2018 |
| Assessment of a canopy height model (CHM) in a vineyard using UAV-based multispectral imaging A Matese, SF Di Gennaro, A Berton International Journal of Remote Sensing 38 (8-10), 2150-2160, 2017 | 137 | 2017 |
| Methane and carbon dioxide fluxes and source partitioning in urban areas: The case study of Florence, Italy B Gioli, P Toscano, E Lugato, A Matese, F Miglietta, A Zaldei, FP Vaccari Environmental Pollution 164, 125-131, 2012 | 123 | 2012 |
| Development of Low-Cost Air Quality Stations for Next Generation Monitoring Networks: Calibration and Validation of PM2.5 and PM10 Sensors A Cavaliere, F Carotenuto, F Di Gennaro, B Gioli, G Gualtieri, F Martelli, ... Sensors 18 (9), 2843, 2018 | 113 | 2018 |
| Recent advances in Unmanned Aerial Vehicles forest remote sensing—A systematic review. Part II: Research applications R Dainelli, P Toscano, SF Di Gennaro, A Matese Forests 12 (4), 397, 2021 | 112 | 2021 |
| Recent advances in unmanned aerial vehicle forest remote sensing—A systematic review. part I: A general framework R Dainelli, P Toscano, SF Di Gennaro, A Matese Forests 12 (3), 327, 2021 | 105 | 2021 |
| A precision agriculture approach for durum wheat yield assessment using remote sensing data and yield mapping P Toscano, A Castrignanò, SF Di Gennaro, AV Vonella, D Ventrella, ... Agronomy 9 (8), 437, 2019 | 96 | 2019 |
| Carbon dioxide emissions of the city center of Firenze, Italy: measurement, evaluation, and source partitioning A Matese, B Gioli, FP Vaccari, A Zaldei, F Miglietta Journal of Applied Meteorology and Climatology 48 (9), 1940-1947, 2009 | 96 | 2009 |
| A low-cost and unsupervised image recognition methodology for yield estimation in a vineyard SF Di Gennaro, P Toscano, P Cinat, A Berton, A Matese Frontiers in plant science 10, 559, 2019 | 92 | 2019 |
| Retrieving soil moisture in rainfed and irrigated fields using Sentinel-2 observations and a modified OPTRAM approach M Ambrosone, A Matese, SF Di Gennaro, B Gioli, M Tudoroiu, L Genesio, ... International journal of applied earth observation and geoinformation 89, 102113, 2020 | 78 | 2020 |
| Spectral comparison of UAV-based hyper and multispectral cameras for precision viticulture SF Di Gennaro, P Toscano, M Gatti, S Poni, A Berton, A Matese Remote sensing 14 (3), 449, 2022 | 70 | 2022 |
| Beyond the traditional NDVI index as a key factor to mainstream the use of UAV in precision viticulture A Matese, SF Di Gennaro Scientific Reports 11 (1), 2721, 2021 | 70 | 2021 |
Salvatore Filippo Di GennaroInstitute of BioEconomy - National Council Research (IBE - CNR)Verifisert e-postadresse på cnr.it
