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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