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Monteleone, Beatrice
36  results:
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1

Comparison of deep learning models for milk production fore..:

Cesarini, Luigi ; Gonçalves, Rui ; Martina, Mario...
Computers and Electronics in Agriculture.  221 (2024)  - p. 108933 , 2024
Link: https://doi.org/10.1016/..
 
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2

Development of a Pre-Automatized Processing Chain for Agric..:

Valentini, Emiliana ; Sapio, Serena ; Schiavon, Emma...
Land.  13 (2024)  1 - p. 91 , 2024
Link: https://doi.org/10.3390/..
 
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3

Drought in the Po Valley: Identification, Impacts and Strat..:

Monteleone, Beatrice ; Borzí, Iolanda
Water.  16 (2024)  8 - p. 1187 , 2024
Link: https://doi.org/10.3390/..
 
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4

Estimations of Crop Losses Due to Flood Using Multiple Sour..:

Monteleone, Beatrice ; Giusti, Riccardo ; Magnini, Andrea...
Water.  15 (2023)  11 - p. 1980 , 2023
Link: https://doi.org/10.3390/..
 
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5

Modelling the response of wheat yield to stage-specific wat..:

Monteleone, Beatrice ; Borzí, Iolanda ; Arosio, Marcello...
Agricultural Water Management.  287 (2023)  - p. 108444 , 2023
Link: https://doi.org/10.1016/..
 
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6

Developing stage-specific drought vulnerability curves for ..:

Monteleone, Beatrice ; Borzí, Iolanda ; Bonaccorso, Brunella.
Agricultural Water Management.  269 (2022)  - p. 107713 , 2022
Link: https://doi.org/10.1016/..
 
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7

Quantifying crop vulnerability to weather-related extreme e..:

Monteleone, Beatrice ; Borzí, Iolanda ; Bonaccorso, Brunella.
Natural Hazards.  116 (2022)  3 - p. 2761-2796 , 2022
Link: https://doi.org/10.1007/..
 
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8

The potential of machine learning for weather index insuran..:

Cesarini, Luigi ; Figueiredo, Rui ; Monteleone, Beatrice.
Natural Hazards and Earth System Sciences.  21 (2021)  8 - p. 2379-2405 , 2021
Link: https://doi.org/10.5194/..
 
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9

A joint probabilistic index for objective droughtidentifica..:

Monteleone, Beatrice ; Bonaccorso, Brunella ; Martina, Mario
Natural Hazards and Earth System Sciences.  20 (2020)  2 - p. 471-487 , 2020
Link: https://doi.org/10.5194/..
 
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10

Vertical Ozone Gradients above Forests. Comparison of Diffe..:

Gerosa, Giacomo ; Marzuoli, Riccardo ; Monteleone, Beatrice..
Forests.  8 (2017)  9 - p. 337 , 2017
Link: https://doi.org/10.3390/..
 
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11

The potential of machine learning for weather index insuran..:

Cesarini, Luigi ; Figueiredo, Rui ; Monteleone, Beatrice.
Natural Hazards and Earth System Sciences -- http://www.bibliothek.uni-regensburg.de/ezeit/?2064587 -- http://www.nat-hazards-earth-syst-sci.net/ -- 1684-9981.  , 2021
Link: https://doi.org/10.5194/..
 
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12

The potential of machine learning for weather index insuran..:

Cesarini, Luigi ; Figueiredo, Rui ; Monteleone, Beatrice.
doi:10.5194/nhess-21-2379-2021.  , 2021
Link: https://doi.org/10.5194/..
 
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13

A joint probabilistic index for objective drought identific..:

Monteleone, Beatrice ; Bonaccorso, Brunella ; Martina, Mario
doi:10.5194/nhess-20-471-2020.  , 2020
Link: https://doi.org/10.5194/..
 
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14

A joint probabilistic index for objective drought identific..:

Monteleone, Beatrice ; Bonaccorso, Brunella ; Martina, Mario
Natural Hazards and Earth System Sciences -- http://www.bibliothek.uni-regensburg.de/ezeit/?2064587 -- http://www.nat-hazards-earth-syst-sci.net/ -- 1684-9981.  , 2020
Link: https://doi.org/10.5194/..
 
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15

Vertical ozone gradients above forests. Comparison of diffe..:

Gerosa, Giacomo ; Marzuoli, Riccardo ; Monteleone, Beatrice..
info:eu-repo/semantics/altIdentifier/wos/WOS:000411523700035.  , 2017
Link: http://hdl.handle.net/10..
 
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