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1.
A Comparative Analysis of XGBoost and Neural Network Models for Predicting Some Tomato Fruit Quality Traits from Environmental and Meteorological Data.
Plants (Basel)
; 13(5)2024 Mar 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-38475592
2.
Root Development Monitoring under Different Water Supply Levels in Processing Tomato Plants.
Plants (Basel)
; 12(20)2023 Oct 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-37895982
3.
Functional Quality and Radical Scavenging Activity of Selected Watermelon (Citrullus lanatus (Thunb.) Mansfeld) Genotypes as Affected by Early and Full Cropping Seasons.
Plants (Basel)
; 12(9)2023 Apr 28.
Artículo
en Inglés
| MEDLINE | ID: mdl-37176862
4.
Prediction of Soluble Solids and Lycopene Content of Processing Tomato Cultivars by Vis-NIR Spectroscopy.
Front Nutr
; 9: 845317, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35836590
5.
Effect of Individual and Selected Combined Treatments With Saline Solutions and Spent Engine Oil on the Processing Attributes and Functional Quality of Tomato (Solanum lycopersicon L.) Fruit: In Memory of Professor Leila Ben Jaballah Radhouane (1958-2021).
Front Nutr
; 9: 844162, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35571925
6.
Analysis of the Phytochemical Composition of Pomegranate Fruit Juices, Peels and Kernels: A Comparative Study on Four Cultivars Grown in Southern Italy.
Plants (Basel)
; 10(11)2021 Nov 19.
Artículo
en Inglés
| MEDLINE | ID: mdl-34834884
7.
Pre- and Post-harvest Factors Affecting Glucosinolate Content in Broccoli.
Front Nutr
; 7: 147, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-33015121
8.
HPLC analysis of carotenoids from tomatoes using cross-linked C18 column and MS detection.
J Chromatogr Sci
; 52(9): 985-91, 2014 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-24046161
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