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Salvatore Filippo Di Gennaro
Salvatore Filippo Di Gennaro
Institute of BioEconomy - National Council Research (IBE - CNR)
Verified email at cnr.it
Title
Cited by
Cited by
Year
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
6862015
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
4752012
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
4442017
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
2512017
Technology in precision viticulture: A state of the art review
A Matese, S Filippo Di Gennaro
International journal of wine research, 69-81, 2015
1972015
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
1942009
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
1282018
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
1262016
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
1162017
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
1122018
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
722021
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
722019
A precision agriculture approach for durum wheat yield assessment using remote sensing data and yield mapping
P Toscano, A Castrignan˛, SF Di Gennaro, AV Vonella, D Ventrella, ...
Agronomy 9 (8), 437, 2019
692019
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
632021
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
602012
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
582017
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
522020
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
512019
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
512018
Remotely sensed vegetation indices to discriminate field-grown olive cultivars
G Avola, SF Di Gennaro, C Cantini, E Riggi, F Muratore, C TornambŔ, ...
Remote Sensing 11 (10), 1242, 2019
462019
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