Predictive model for the growth rate of tomatoes in saline substrate cultivation-Reference-Cited by-同舟云学术

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Predictive model for the growth rate of tomatoes in saline substrate cultivation

Published:2023-11-06 Issue: Volume: Page:699-703
ISSN:
Container-title:2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)
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Author:

Kocian Alexander¹,Milazzo Paolo¹,Castagna Antonella²,Ranieri Annamaria²,Hernández José Antonio³,Vivancos Pedro Díaz³,Espín Gregorio Barba³,Hamed Karim Ben⁴,Selmi Aida⁴,Kalboussi Nesrine⁵,Chessa Stefano¹

Affiliation:

1. University of Pisa,Dep. Computer Science,Pisa,Italy

2. University of Pisa,Dep. Agriculture, Food and Environemnt,Pisa,Italy

3. CEBAS-CSIC,Dep. Plant Breeding,Murcia,Spain

4. Lab. Plantes Extrêmophiles CBBC,Borj Cédria,Tunisia

5. LaDVEN CERTE,Soliman,Tunisia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424027/10424015/10424108.pdf?arnumber=10424108

Reference22 articles.

1. Salinity and crop yield

2. Predicting long-term dynamics of soil salinity and sodicity on a global scale

3. The State of the World’s Aquatic Genetic Resources for Food and Agriculture

4. Saline soils worldwide: Identifying the most promising areas for saline agriculture

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