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Collaborative project: Robotic hoeing in maize, sugar beet and sunflower – camera-guided hoeing within crop rows using a convolutional neural network - subproject A (Hackroboter2)
Project
Project code: 28DK130A20
Contract period: 05.07.2021
- 04.07.2024
Budget: 172,333 Euro
Purpose of research: Applied research
Keywords: organic farming, precision farming, biological diversity, maize, AI Artificial Intelligence, sugar beet, crop production, sensor technology, digital world, weed
The objective of this project is to integrate a new camera-controlled in-row hoeing technology for maize, sugar beet and sunflower into an exisiting hoe with sensor-based side-shift control. The new in-row system needs to identify weeds and crops in real-time. The in-row tool selectively controls weeds without damaging crops.
Section overview
Subjects
- Crop Protection
- Organic Farming
