Quantum Generators: Synthesis of Different Types of Crop Molecules Using Neural Networks and Automation

EasyChair Preprint 8828

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 a platform of automated synthesizer where cell synthesis can be synergistically combined with multi-layer and multistep synthesis for crop generation. We show a modular platform for automating cell synthesis, which embodies neural network operated synthesis framework along with synthesis abstraction in the platform. And abstraction of cell synthesis contains the key four stages of synthesis protocols: recognition, gene expression, transcription, and protein builder that can be linked to the physical operations of a digitized & automated synthesizer platform. Software control over hardware allows combination of individual unit operations into multistep cell synthesis and neural network operated framework in multiple synthesis units where the unit level computer creates low-level instructions for the hardware taking interface representation of the platform and abstraction representing cell synthesis. In this way, it is possible to script and run desired synthesis in a neural network framework model for assessing outcome without reconfiguration of the platform for multiple crop tissues simultaneously. Although the platform model given us a method of automating cellular assemblies in an intelligent framework embodied in multi-unit system however, this need to be tested using natural crop cells and it could be promising for us in achieving quantum generation.

Keyphrases: Artificial Intelligence, CellSynputer, Parallel Synthesizers, Quantum Generators, neural networks

@booklet{EasyChair:8828,
  author    = {Poondru Prithvinath Reddy},
  title     = {Quantum Generators: Synthesis of Different Types of Crop Molecules Using Neural Networks and Automation},
  howpublished = {EasyChair Preprint 8828},
  year      = {EasyChair, 2022}}