Sfoglia per Autore  

Opzioni
Mostrati risultati da 1 a 14 di 14
Data di pubblicazione Titolo Autore(i) File
1-gen-2023 Multi-environment assessment of a yellow hemp (Cannabis sativa L.) cultivar's eco-physiology and productivity under varying levels of nitrogen fertilisation Blandinieres, Henri Paul Yves Andre'; Croci, Michele; Impollonia, Giorgio; Marcone, Andrea; Gay, A.; Winters, A.; Palmer, S.; Amaducci, Stefano
1-gen-2023 Yield performance of 14 novel inter- and intra-species Miscanthus hybrids across Europe Awty-Carroll, D.; Magenau, E.; Alhassan, M.; Martani, Enrico; Kontek, M.; van der Pluijm, P.; Ashman, C.; de Maupeou, E.; Mccalmont, J.; Petrie, G. -J.; Davey, C.; van der Cruijsen, K.; Jurisic, V.; Amaducci, Stefano; Lamy, I.; Shepherd, A.; Kam, J.; Hoogendam, A.; Croci, Michele; Dolstra, O.; Ferrarini, Andrea; Lewandowski, I.; Trindade, L. M.; Kiesel, A.; Clifton-Brown, J.
1-gen-2023 Evaluating biostimulants via high-throughput field phenotyping: Biophysical traits retrieval through PROSAIL inversion Antonucci, Giulia; Impollonia, Giorgio; Croci, Michele; Potenza, Eleonora; Marcone, Andrea; Amaducci, Stefano
1-gen-2022 Dynamic Maize Yield Predictions Using Machine Learning on Multi-Source Data Croci, Michele; Impollonia, Giorgio; Meroni, Michele; Amaducci, Stefano
1-gen-2022 Moisture content estimation and senescence phenotyping of novel Miscanthus hybrids combining UAV-based remote sensing and machine learning Impollonia, G.; Croci, M.; Martani, E.; Ferrarini, A.; Kam, J.; Trindade, L. M.; Clifton-Brown, J.; Amaducci, S.
1-gen-2022 Impact of Training Set Size and Lead Time on Early Tomato Crop Mapping Accuracy Croci, Michele; Impollonia, Giorgio; Blandinieres, Henri Paul Yves Andre'; Colauzzi, Michele; Amaducci, Stefano
1-gen-2022 RTM Inversion through Predictive Equations for Multi-Crop LAI Retrieval Using Sentinel-2 Images Croci, Michele; Impollonia, Giorgio; Marcone, Andrea; Antonucci, Giulia; Letterio, T.; Colauzzi, Michele; Vignudelli, M.; Ventura, F.; Anconelli, S.; Amaducci, Stefano
1-gen-2022 UAV Remote Sensing for High-Throughput Phenotyping and for Yield Prediction of Miscanthus by Machine Learning Techniques Impollonia, Giorgio; Croci, Michele; Ferrarini, Andrea; Brook, J.; Martani, Enrico; Blandinieres, Henri Paul Yves Andre'; Marcone, Andrea; Awty-Carroll, D.; Ashman, C.; Kam, J.; Kiesel, A.; Trindade, L. M.; Boschetti, M.; Clifton-Brown, J.; Amaducci, Stefano
1-gen-2022 Comparison of PROSAIL Model Inversion Methods for Estimating Leaf Chlorophyll Content and LAI Using UAV Imagery for Hemp Phenotyping Impollonia, Giorgio; Croci, Michele; Blandinieres, Henri Paul Yves Andre'; Marcone, Andrea; Amaducci, Stefano
1-gen-2022 The effect of agronomic management of hemp (Cannabis sativa L.) on stem processing and fibre quality Leoni, Martina; Musio, Salvatore; Croci, Michele; Tang, Kailei; Magagnini, G. M.; Thouminot, C.; Müssig, J.; Amaducci, Stefano
1-gen-2022 Agrivoltaic System and Modelling Simulation: A Case Study of Soybean (Glycine max L.) in Italy Potenza, Eleonora; Croci, Michele; Colauzzi, Michele; Amaducci, Stefano
1-gen-2021 Integration of Gas Exchange With Metabolomics: High-Throughput Phenotyping Methods for Screening Biostimulant-Elicited Beneficial Responses to Short-Term Water Deficit Antonucci, Giulia; Croci, Michele; Miras Moreno, Maria Begona; Fracasso, Alessandra; Amaducci, Stefano
1-gen-2019 SENSITIVITY OF VIS-NIR SPECTRAL INDICES TO DETECT NITROGEN DEFICIENCY AND CANOPY FUNCTION IN CV. BARBERA (VITIS VINIFERA L.) GRAPEVINES Gatti, Matteo; Garavani, Alessandra; Vercesi, Alberto; Squeri, Cecilia; Croci, Michele; Calegari, Ferdinando; Vincini, Massimo; Poni, Stefano
1-gen-2019 Ground truthing and physiological validation of VIs-NIR spectral indices for early diagnosis of nitrogen deficiency in cv. Barbera (Vitis vinifera L.) Grapevines Squeri, Cecilia; Gatti, Matteo; Garavani, Alessandra; Vercesi, Alberto; Buzzi, M.; Croci, Michele; Calegari, Ferdinando; Vincini, M.; Poni, Stefano
Mostrati risultati da 1 a 14 di 14
Legenda icone

  •  file ad accesso aperto
  •  file disponibili sulla rete interna
  •  file disponibili agli utenti autorizzati
  •  file disponibili solo agli amministratori
  •  file sotto embargo
  •  nessun file disponibile