Identifying raw materials and gas production data
AssigneeFermentrics Technologies Inc.
InventorsJames JOHNSTON, Robin JOHNSTON, Meisam RAKHSHANFAR
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Abstract
Systems and methods relating to identifying raw materials and predicting gas production based on the identified raw materials. Machine learning models are used to identify (through pattern matching or curve fitting) raw materials. Once the raw materials are identified, expected gases and their quantities produced through fermentation are determined using another machine learning model. The predicted gases and amounts are then sent to a user.
Claims21
A method for determining resulting gases from fermentation of raw materials, the method comprising:
- a) scanning said raw materials to determine raw material spectra for said raw materials;
- b) uploading said raw material spectra to a server for analysis;
- c) determining which matching spectra in a database of spectra for known raw materials matches said raw material spectra;
- d) based on results of step c), determining predicted gas production characteristics of said raw materials if said raw materials were naturally fermented;
- e) providing said predicted gas production characteristics to a user.
A system for determining resulting gases from fermentation of raw materials, the system comprising:
- a first trained machine learning model for matching a spectra of an unknown raw material with a spectra of a known raw material;
- a second trained machine learning model for predicting gas production data for said unknown raw material based on gas production data of said known raw material;
- a database containing spectra of known raw materials and gas production data for said known raw materials;
- wherein
- said first trained machine learning model is trained using a training dataset that includes said spectra of known raw materials;
- said second trained machine learning model is trained using a trained dataset that includes said gas production data for said known raw materials.
Dependencies are inferred from the claim text.