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Application of Artificial Neural Network and Genetic Algorithm Modeling for In Vitro Regeneration of Seaweed Seedling
Ramalingam Dineshkumar1,2, Mudassar Anisoddin Kazi1, Vaibhav A Mantri3,4
1Division of Applied Phycology and Biotechnology, CSIR-Central Salt & Marine Chemicals Research Institute, Bhavnagar, Gujarat, India.
Abstract:
Marine macro-algae, commonly known as "seaweed," are used in everyday commodity products worldwide for food, feed, and biostimulant for plants and animals and continue to be one of the conspicuous components of world aquaculture production. However, the application of ANN in seaweeds remains limited. Here, we described how to perform ANN-based machine learning modeling and GA-based optimization to enhance seedling production for implications on commercial farming. The critical steps from seaweed seedling explant preparation, selection of independent variables for laboratory culture, formulating experimental design, executing ANN Modelling, and implementing optimization algorithm are described.

