Application of artificial intelligence models and optimization algorithms in plant cell and tissue culture

M Hesami, AMP Jones - Applied Microbiology and Biotechnology, 2020 - Springer
Artificial intelligence (AI) models and optimization algorithms (OA) are broadly employed in
different fields of technology and science and have recently been applied to improve …

Machine learning approaches and their current application in plant molecular biology: A systematic review

JCF Silva, RM Teixeira, FF Silva… - Plant Science, 2019 - Elsevier
Abstract Machine learning (ML) is a field of artificial intelligence that has rapidly emerged in
molecular biology, thus allowing the exploitation of Big Data concepts in plant genomics. In …

Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network

P Taherei Ghazvinei… - Engineering …, 2018 - Taylor & Francis
Management strategies for sustainable sugarcane production need to deal with the
increasing complexity and variability of the whole sugar system. Moreover, they need to …

Development of support vector machine-based model and comparative analysis with artificial neural network for modeling the plant tissue culture procedures: effect of …

M Hesami, R Naderi, M Tohidfar… - Plant methods, 2020 - Springer
Background Optimizing the somatic embryogenesis protocol can be considered as the first
and foremost step in successful gene transformation studies. However, it is usually difficult to …

Mathematical Modeling of Growth and Paclitaxel Biosynthesis in Corylus avellana Cell Culture Responding to Fungal Elicitors Using Multilayer Perceptron-Genetic …

M Salehi, S Farhadi, A Moieni, N Safaie… - Frontiers in plant …, 2020 - frontiersin.org
Paclitaxel is the top-selling anticancer medicine in the world. In vitro culture of Corylus
avellana has been made known as a promising and inexpensive strategy for producing …

Prediction of kiwifruit firmness using fruit mineral nutrient concentration by artificial neural network (ANN) and multiple linear regressions (MLR)

AM Torkashvand, A Ahmadi, NL Nikravesh - Journal of integrative …, 2017 - Elsevier
Many properties of fruit are influenced by plant nutrition. Fruit firmness is one of the most
important fruit characteristics and determines post-harvest life of the fruit. In recent decades …

Prediction of sunflower grain yield under normal and salinity stress by RBF, MLP and, CNN models

S Khalifani, R Darvishzadeh, N Azad… - Industrial Crops and …, 2022 - Elsevier
Sunflower is one of the most valuable oilseeds in the world due to its high-quality oil and
wide adaptation to climatic and soil conditions. Salinity is one of the most harmful …

[HTML][HTML] Estimating wet soil aggregate stability from easily available properties in a highly mountainous watershed

AA Besalatpour, S Ayoubi, MA Hajabbasi… - Catena, 2013 - Elsevier
A comparison study was carried out with the purpose of verifying when the adaptive neuro-
fuzzy inference system (ANFIS), artificial neural network (ANN), generalized linear model …

Modeling and Optimizing in vitro Sterilization of Chrysanthemum via Multilayer Perceptron-Non-dominated Sorting Genetic Algorithm-II (MLP-NSGAII)

M Hesami, R Naderi, M Tohidfar - Frontiers in plant science, 2019 - frontiersin.org
In vitro sterilization is a primary step of plant tissue culture which the ultimate results of in
vitro culture are directly depended on the efficiency of the sterilization. Artificial intelligence …