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Predictive model for the growth rate of tomatoes in saline ..:

, In: 2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor),

Kocian, Alexander ; Milazzo, Paolo ; Castagna, Antonella... - p. 699-703 , 2023

Link: https://doi.org/10.1109/MetroAgriFor58484.2023.1042410

RT 
T1 <cTitle>2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)</cTitle>: T1 <Title>Predictive model for the growth rate of tomatoes in saline substrate cultivation</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10424108&Exemplar=1&LAN=DE
				
A1 Kocian, Alexander
A1 Milazzo, Paolo
A1 Castagna, Antonella
A1 Ranieri, Annamaria
A1 Hernandez, Jose Antonio
A1 Vivancos, Pedro Diaz
A1 Espin, Gregorio Barba
A1 Hamed, Karim Ben
A1 Selmi, Aida
A1 Kalboussi, Nesrine
A1 Chessa, Stefano
YR 2023
K1 Climate change
K1 Crops
K1 Regression analysis
K1 Machine learning
K1 Conductivity
K1 Mutual information
K1 Soil measurements
K1 Salinity (geophysical)
K1 Information theory
K1 Data mining
K1 Crop yield
K1 Productivity
K1 Probabilistic logic
K1 Agricultural products
K1 tomatoes
K1 regression analysis
K1 machine learning
K1 electrical conductivity
K1 mutual information
SP 699
OP 703
LK http://dx.doi.org/https://doi.org/10.1109/MetroAgriFor58484.2023.10424108
DO https://doi.org/10.1109/MetroAgriFor58484.2023.10424108
SF ELIB - SuUB Bremen

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