Rumen Digital Twin AI Model Development
Sector: Raw Materials
Source: Beef Magazine
Development of the Rumen Digital Twin, an AI foundation model to identify effective strategies for reducing methane emissions in cattle while optimizing productivity and welfare. The project involves training a generative AI model on data from over 20,000 ruminants across 25+ countries, integrating microbiome profiles with methane emissions, diet, genetics, and performance data. The goal is to rep
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | awarded |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Development of the Rumen Digital Twin, an AI foundation model to identify effective strategies for reducing methane emissions in cattle while optimizing productivity and welfare. The project involves training a generative AI model on data from over 20,000 ruminants across 25+ countries, integrating microbiome profiles with methane emissions, diet, genetics, and performance data. The goal is to replace lengthy animal trials with AI simulations to tailor methane reduction strategies, potentially reducing emissions by up to 75%. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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Article Published Date | Obfuscated Data |