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Quantum Generators: an Evolution-Enabled Reconfigurable Cell Shape Optimizer for Crop Production.

EasyChair Preprint no. 7504

13 pagesDate: February 26, 2022


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). The crop tissues are collection of living cells and Cell tissues can be shaped to perform effective union and are required to be shaped in such a way that they gather other cells in their environment forming them into new cell tissues with same parameters/capability and subsequently grow into larger crop tissues. In this paper, we present a method to produce living natural tissues of crops that are constructed by acquiring several small and more detailed cells of large crop objects and then form a larger crop structure by combining these small cells. The main goal of this method is to create structures that are identical to the natural structure that are found in the tissues in the crops. Hence the shape of a cell tissue is designed in simulation to perform a specific task i.e. union, using a process of trial and error( an evolutionary algorithm ). We present an evolutionary strategy implementation to solve complex shape related synthesis problems in crop body formation by exploiting the possibilities offered by evolutionary process or natural selection and results show that if there’s enough of cells of particular type in a chamber/dish, they will start to develop and will compact together.

Keyphrases: computational model, Evolution Strategy, Quantum Generators, Shape Engineering

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: an Evolution-Enabled Reconfigurable Cell Shape Optimizer for Crop Production.},
  howpublished = {EasyChair Preprint no. 7504},

  year = {EasyChair, 2022}}
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