Machine learning for plant breeding and biotechnology

M Niazian, G Niedbała - Agriculture, 2020 - mdpi.com
Classical univariate and multivariate statistics are the most common methods used for data
analysis in plant breeding and biotechnology studies. Evaluation of genetic diversity …

Prediction of loquat soluble solids and titratable acid content using fruit mineral elements by artificial neural network and multiple linear regression

X Huang, H Wang, W Luo, S Xue, F Hayat, Z Gao - Scientia Horticulturae, 2021 - Elsevier
Mineral nutrient elements have an important impact on fruit quality, especially on soluble
solids (SSC), titratable acid content (TAC) and the ratio of soluble solids to titratable acid …

[HTML][HTML] Ultrasound assisted aqueous two-phase extraction of polysaccharides from Cornus officinalis fruit: Modeling, optimization, purification, and characterization

J Tan, P Cui, S Ge, X Cai, Q Li, H Xue - Ultrasonics Sonochemistry, 2022 - Elsevier
Ultrasound assisted aqueous two-phase extraction of polysaccharides from Cornus
officinalis fruit was modeled by response surface methodology (RSM) and artificial neural …

[HTML][HTML] Use of optimised MLP neural networks for spatiotemporal estimation of indoor environmental conditions of existing buildings

M Martínez-Comesaña, A Ogando-Martínez… - Building and …, 2021 - Elsevier
Controlling the indoor environmental quality in real time is essential for the health, well-
being and productivity of occupants of a building. In recent years, research has focused on …

Modeling and optimization of capsaicin extraction from Capsicum annuum L. using response surface methodology (RSM), artificial neural network (ANN), and …

N Gammoudi, M Mabrouk, T Bouhemda… - Industrial Crops and …, 2021 - Elsevier
The heartening applications of capsaicin (CAP) in agro–food, cosmetic, and pharmaceutical
sectors impose their strengthening by an appropriate extraction protocol. Herein, response …

Production of bioethanol from pumpkin peel wastes: Comparison between response surface methodology (RSM) and artificial neural networks (ANN)

M Chouaibi, KB Daoued, K Riguane, T Rouissi… - Industrial Crops and …, 2020 - Elsevier
Pumpkin peel wastes are an unutilized source of starch, whose bioethanol production has
not been reported by any research work so far. Such bioethanol is believed to show the …

[HTML][HTML] Modeling, optimization, purification, and characterization of polysaccharides from Lilium lancifolium Thunb

H Xue, J Xu, J Zhang, Y Wei, X Cai, J Tan - Lwt, 2022 - Elsevier
Ultrasound assisted aqueous two-phase extraction of polysaccharides from Lilium
lancifolium Thunb was modeled by response surface methodology (RSM) and artificial …

A novel procedure for simultaneous extraction of polysaccharides and polyphenols from Schisandra Chinensis: Modeling, characterization and biological properties

F Zhang, Y Xu, X Bu, Z Wang, S Qi, D Li, L Wang… - Industrial Crops and …, 2023 - Elsevier
High pressure assisted aqueous two-phase system for simultaneous extraction of
polysaccharides and polyphenols from Schisandra chinensis was modeled by response …

Deeper insight into the volatile profile of essential oil of two Curcuma species and their antioxidant and antimicrobial activities

S Jena, A Ray, A Sahoo, PC Panda, S Nayak - Industrial Crops and …, 2020 - Elsevier
Essential oil of Curcuma angustifolia Roxb. and Curcuma zedoaria (Christm.) Rosc. are
gaining increasing interest worldwide due to its medicinal and cosmetic application …

Establishment of optimized in vitro disinfection protocol of Pistacia vera L. explants mediated a computational approach: multilayer perceptron–multi−objective …

N Gammoudi, K Nagaz, A Ferchichi - BMC Plant Biology, 2022 - Springer
Background Contamination− free culture is a prerequisite for the success of in vitro− based
plant biotechnology. Aseptic initiation is an extremely strenuous stride, particularly in woody …