statistiche ricercatore

Continente	#
EU - Europa	1.054
AS - Asia	1.025
NA - Nord America	820
SA - Sud America	89
AF - Africa	30
Continente sconosciuto - Info sul continente non disponibili	1
OC - Oceania	1
Totale	3.020

Nazione	#
US - Stati Uniti d'America	801
IT - Italia	426
SG - Singapore	296
CN - Cina	238
VN - Vietnam	208
GB - Regno Unito	200
RU - Federazione Russa	140
BR - Brasile	77
DE - Germania	74
HK - Hong Kong	54
FR - Francia	44
KR - Corea	42
IN - India	37
SE - Svezia	24
IE - Irlanda	22
BE - Belgio	20
FI - Finlandia	18
JP - Giappone	18
PK - Pakistan	14
AT - Austria	12
CA - Canada	12
GR - Grecia	12
TR - Turchia	11
BD - Bangladesh	10
ID - Indonesia	10
IL - Israele	10
UZ - Uzbekistan	10
IR - Iran	8
NL - Olanda	8
PH - Filippine	8
RO - Romania	8
ES - Italia	7
MY - Malesia	7
SA - Arabia Saudita	7
TH - Thailandia	7
TW - Taiwan	7
UA - Ucraina	7
DZ - Algeria	6
BG - Bulgaria	5
IQ - Iraq	5
KE - Kenya	5
MA - Marocco	5
PL - Polonia	5
AZ - Azerbaigian	4
CH - Svizzera	4
MW - Malawi	4
AR - Argentina	3
DK - Danimarca	3
KZ - Kazakistan	3
MX - Messico	3
PT - Portogallo	3
AL - Albania	2
BY - Bielorussia	2
CL - Cile	2
CO - Colombia	2
EG - Egitto	2
JO - Giordania	2
LV - Lettonia	2
LY - Libia	2
MN - Mongolia	2
OM - Oman	2
PA - Panama	2
SN - Senegal	2
VE - Venezuela	2
AE - Emirati Arabi Uniti	1
AU - Australia	1
BF - Burkina Faso	1
BS - Bahamas	1
BT - Bhutan	1
EU - Europa	1
HU - Ungheria	1
JM - Giamaica	1
KG - Kirghizistan	1
LA - Repubblica Popolare Democratica del Laos	1
LT - Lituania	1
MK - Macedonia	1
NO - Norvegia	1
NP - Nepal	1
PE - Perù	1
PY - Paraguay	1
RS - Serbia	1
SK - Slovacchia (Repubblica Slovacca)	1
TG - Togo	1
TN - Tunisia	1
UY - Uruguay	1
ZA - Sudafrica	1
Totale	3.020

Nome	#
Automatic Path Planning for Unmanned Ground Vehicle Using UAV Imagery	418
Real-Time Apple Detection System using Embedded Systems with Hardware Accelerators: an Edge AI Application	412
UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture	383
Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN)	358
Comparison of Satellite and UAV-Based Multispectral Imagery for Vineyard Variability Assessment	347
Advancements in Multi-temporal Remote Sensing Data Analysis Techniques for Precision Agriculture	257
Refining satellite imagery by using UAV imagery for vineyard environment: A CNN Based approach	241
Domain-Adversarial Training of Self-Attention-Based Networks for Land Cover Classification Using Multi-Temporal Sentinel-2 Satellite Imagery	186
Analyzing relationship between maize height and spectral indices derived from remotely sensed multispectral imagery	162
Land cover and crop classification using multitemporal sentinel-2 images based on crops phenological cycle	152
Understanding effects of atmospheric variables on spectral vegetation indices derived from satellite based time series of multispectral images	144
Totale	3.060

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2020/2021	60	0	0	0	0	0	0	0	0	0	0	27	33
2021/2022	288	61	18	16	8	24	6	3	12	13	6	71	50
2022/2023	296	24	49	8	47	35	45	10	23	29	6	7	13
2023/2024	150	6	2	19	11	28	19	2	7	10	8	10	28
2024/2025	611	17	60	45	90	48	44	58	49	63	30	41	66
2025/2026	1.063	66	59	86	81	47	61	177	116	226	121	23	0
Totale													3.060

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