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Quantum Generators: Model Design for Predicting and Driving Cell Growth in Natural Crop Tissues.

EasyChair Preprint no. 5660

9 pagesDate: June 1, 2021


Quantum Generators is a means of achieving mass food production with short production cycles, and when and where required by means of machines rather than land based farming which has serious limitations. The process for agricultural practices for plant growth in different stages is simulated in a machine with a capacity to produce multiple seeds from one seed input using computational models of multiplication (generating multiple copies of kernel in repetition). In this paper, we present a method to predict cell growth of natural tissues of crops by looking at how cells change to understand what is driving this growth. Here the method looked at gene expression profiles which showed the cell’s process of assembling proteins and the ability of the matter to grow and remodel in response to stimuli. We checked our approach by understanding and predicting growth of living systems such as skin and tumor growth which is one of the most important challenges in cellmechanics.  Our study given us more information about how cells grow and their overall response in terms of shape evolution or mass addition with mathematical modelling and advanced methods. While this need to be tested using natural crop cells, however it could be promising for us in achieving quantum generation.

Keyphrases: Cell Growth Model, Finite Cell Growth, gene expression, Quantum Generators

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Poondru Prithvinath Reddy},
  title = {Quantum Generators: Model Design for Predicting and Driving Cell Growth in Natural Crop Tissues.},
  howpublished = {EasyChair Preprint no. 5660},

  year = {EasyChair, 2021}}
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