Skip to main content
Search
Menu
Computer vision annotation tool
Photo: Daniel Larsson

Open image database for plant cultivation

By creating an open large image database, you can use machine learning and computer vision to find out where a certain crop grows in a field and its health and status. The goal is to create an image database of various named crops, both crops and weeds that can be used as decision support in agriculture.

Purpose and goal

The project aims to create an open large image database which through machine learning and computer vision can find where a certain crop grows in a field and its health & status. The goal is an image database of various named crops, both crops & weeds. This can then be used as a basis for decision support systems that help the farmer decide when it is time to control weeds. In the future, the information could be used for direct control of efforts, or to determine the proportion of different grass & clover varieties there are in a grassland, which gives how one should fertilize to keep the clover.

Expected effects and results

The collected data will be published for free use and thus strengthens basic research in automatic recognition of crops relevant to Swedish conditions and its diseases. It creates new opportunities for start-ups to develop innovations for this area without being burdened by costs for data collection. Preliminary analyses will provide indications of results that could be achieved in future applications. These can serve as a first input to environmental authorities about what is possible with new technology, and thus be the basis for any future legislation.

Implementation

The project will use testbed Digitalised agriculture which is run by RISE in Uppsala to develop both collection methodology and systems. It will continuously collect images during all growth phases from sowing to harvest using flying and ground-based camera systems. The use of two different carriers of collection systems is justified by the fact that different views of the plant may be needed in different future applications. It is not known today which will be successful, but we want to give the opportunity for both to be investigated. During the second year of the project, Testbed UAV will also be used.

Summary

Project name

Open image database

Status

Active

Region

Region Östergötland

RISE role in project

Koordinator

Project start

Duration

33 months

Total budget

SEK 7 788 400

Funders

Vinnova

Coordinators

Supports the UN sustainability goals

2. Zero hunger
13. Climate action
15. Life on land