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Quantum Generators: Use of Robotics for Automation in Cell Synthesis That Imitate Biological Systems.

EasyChair Preprint no. 6050

7 pagesDate: July 11, 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 of cell growth in natural tissues of crops by looking at how biological machines facilitate folding of proteins and replicate DNA. Here the method looked at how macromolecular machines perform tasks essential for life such as DNA replication and cell synthesis.  We checked our approach by understanding into the inner workings of the tiny cellular machines which help make all of the proteins required for building the crop bodies and our study mainly focused on robotic automation in cellular synthesis using machine learning algorithm - random forest. However, this model need to be tested using natural crop cells and it could be promising for us in achieving quantum generation.

Keyphrases: machine learning, molecular synthesis, optimized synthesis, Quantum Generators, Robotic Cellular Synthesis

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: Use of Robotics for Automation in Cell Synthesis That Imitate Biological Systems.},
  howpublished = {EasyChair Preprint no. 6050},

  year = {EasyChair, 2021}}
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