Quantum Generators: Designing Algorithmic Programming for Multistep Cell Synthesis in Synthesizer for On-demand Crops.

EasyChair Preprint 6299

Abstract

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 an algorithmic programming model 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 multistep synthesis 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 assemblies which help make all of the proteins required for building the crop bodies and our study mainly focused on algorithmic automation and development of synthesis script in cellular synthesis using different application interfaces including robotic system. Although the study given us a method of automating and optimizing cellular assemblies however, this model need to be tested using natural crop cells and it could be promising for us in achieving quantum generation.

Keyphrases: Genetic Algorithm, Quantum Generators, Synthesis Script, algorithmic programming

@booklet{EasyChair:6299,
  author    = {Poondru Prithvinath Reddy},
  title     = {Quantum Generators: Designing Algorithmic Programming for Multistep Cell Synthesis in Synthesizer for On-demand Crops.},
  howpublished = {EasyChair Preprint 6299},
  year      = {EasyChair, 2021}}