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Implementation of Mathematical and Technological Foundations for Livestock Management focused on Transmodern and Translocal Transformation in the Province of Ubaté.
This application involves a series of agro-environmental knowledge dedicated to the care and feeding of bovine specimens, through space management, land use, and data administration of the specimens
| Waterfall Methodology |
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As the first part of the process, the
logos of the research group “ebate” and
the seedbeds “creing” and “gizu” are
presented. Subsequently, the effective
grazing area, the type of grass, and the
production per square meter of that grass
will be requested.
.
.
.
.
As the first part of the process, the
logos of the research group “ebate” and
the seedbeds “creing” and “gizu” are
presented. Subsequently, the effective
grazing area, the type of grass, and the
production per square meter of that grass
will be requested.
.
.
.
.
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Next, the average weight of the bovine
specimens, the period during which the
paddocks will be used, and the freshness
of the grass are requested. Finally, the
respective equations yield the number of
paddocks, their area, the amount of grass
they produce, and the number of specimens
that can be kept in each paddock.
Next, the average weight of the bovine
specimens, the period during which the
paddocks will be used, and the freshness
of the grass are requested. Finally, the
respective equations yield the number of
paddocks, their area, the amount of grass
they produce, and the number of specimens
that can be kept in each paddock.
Agro-environmental Management App for Bovine Care
Olympus is a mobile application developed using React Native, following a waterfall methodology, and supported by Python for backend calculations. This project integrates agro-environmental knowledge to optimize the care and feeding of bovine specimens through spatial planning, land use, and data management.
This application was designed to assist farmers and researchers in managing grazing systems efficiently. It calculates optimal paddock distribution, grass production, and animal load based on real-world variables.
- Presentation of logos from the research group EBATE and seedbeds CREING and GIZU.
- Input fields for:
- Effective grazing area
- Type of grass
- Grass production per square meter
- Average weight of bovine specimens
- Grazing period
- Grass freshness
- Output calculations:
- Number of paddocks
- Area per paddock
- Total grass production
- Number of animals per paddock
- React Native – Frontend framework for mobile development
- Python – Backend logic and mathematical calculations
- Figma – UI/UX design and wireframing
- GitHub – Version control and documentation
The project was developed using the Waterfall model, ensuring a structured and sequential approach to planning, design, implementation, and testing.
Installation instructions and setup guide coming soon.
This project was developed in collaboration with academic and territorial partners in Ubaté, Colombia. Special thanks to the research group EBATE and the seedbeds CREING and GIZU for their support and insights.
This project is open-source and available under the MIT License.