| 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 | 639 | 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 | 463 | 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 | 400 | 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 | 222 | 2017 |
| 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 | 190 | 2009 |
| Technology in precision viticulture: A state of the art review A Matese, S Filippo Di Gennaro International journal of wine research, 69-81, 2015 | 175 | 2015 |
| 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 | 114 | 2016 |
| 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 | 113 | 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 | 109 | 2017 |
| 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 | 100 | 2018 |
| 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 | 62 | 2019 |
| 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 | 60 | 2019 |
| 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 | 59 | 2021 |
| Airborne high‐resolution images for grape classification: changes in correlation between technological and late maturity in a Sangiovese vineyard in Central Italy E Fiorillo, A Crisci, T De Filippis, SF Di Gennaro, S Di Blasi, A Matese, ... Australian Journal of Grape and Wine Research 18 (1), 80-90, 2012 | 59 | 2012 |
| Multisensor approach to assess vineyard thermal dynamics combining high-resolution unmanned aerial vehicle (UAV) remote sensing and wireless sensor network (WSN) proximal sensing SF Di Gennaro, A Matese, B Gioli, P Toscano, A Zaldei, A Palliotti, ... Scientia Horticulturae 221, 83-87, 2017 | 57 | 2017 |
| 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 | 53 | 2021 |
| UAV-based high-throughput phenotyping to discriminate barley vigour with visible and near-infrared vegetation indices SF Di Gennaro, F Rizza, FW Badeck, A Berton, S Delbono, B Gioli, ... International journal of remote sensing 39 (15-16), 5330-5344, 2018 | 50 | 2018 |
| Sentinel-2 validation for spatial variability assessment in overhead trellis system viticulture versus UAV and agronomic data SF Di Gennaro, R Dainelli, A Palliotti, P Toscano, A Matese Remote Sensing 11 (21), 2573, 2019 | 48 | 2019 |
| Remotely sensed vegetation indices to discriminate field-grown olive cultivars G Avola, SF Di Gennaro, C Cantini, E Riggi, F Muratore, C Tornambè, ... Remote Sensing 11 (10), 1242, 2019 | 40 | 2019 |
| Spatial variability of meteorological conditions at different scales in viticulture A Matese, A Crisci, SF Di Gennaro, J Primicerio, D Tomasi, P Marcuzzo, ... Agricultural and Forest Meteorology 189, 159-167, 2014 | 39 | 2014 |
Jacopo PrimicerioInstitute of Biometeorology - CNRVerified email at ibimet.cnr.it
