Agri-Automation – Artificial Intelligence in Agriculture
Goal: Distribution of knowledge management to support agriculture
Project
Duration: 7 months
Role in the project: Project Manager
Operational area, geographical:
- Germany
- Ecuador
- Peru
Company
Type: Startup / Information Technology
Turnover: 0 EUR
Number of employees: 5
Description
Using artificial intelligence, complete processes in agriculture, such as sowing, watering, fertilizer application, growth monitoring and/or harvesting are to be made more efficient or automated.
Measures
- Creating a CANVAS model
- Worldwide research of the already existing know-how
- Data collection and processing
- Evaluation and prioritisation
- Design of the knowledge management solution for agricultural enterprises
- Reviewing the CANVAS model
- Marketing
Team
- Agricultural Engineer
- Developers of the already existing applications
- Investor
Reporting
- Regular coordination within the team
Interfaces
- Bavarian State Ministry of Food, Agriculture and Forestry
- European Commission – Directorate-General for Agriculture and Rural Development
- Farmers
- Software Developer
Success
A knowledge database for tuber crops has been set up for Peru and Ecuador as examples. With the help of the partners, irrigation and pesticide use are used selectively there, and thus an increased harvest is expected.
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