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Optimization of cauliflower cultivation by monitoring with UAVs and machine-learning (OPTIKO)
Project
Project code: EIP-Agri-NRW-2020-LPTLGMPPG
Contract period: 01.01.2020
- 31.12.2022
Budget: 499,346 Euro
Purpose of research: Applied research
Keywords: farming practice/activity, farming equipment, plant production and horticulture
The project OPTIKO will use unmanned aerial vehicles (UAVs) to monitor growth and plant performance using the example of cauliflower. By combining multispectral images taken by UAV-based low cost multispectral cameras with machine learning methods for data analysis, we will develop an innovative process to assess traits of individual plants. Machine learning methods will be trained to detect heterogeneities within a field based on spectral and spatial information, which indicate reduced plant performance due to abiotic and biotic stress. In the future, automatized, regular UAV overflights could be used for the early detection of stress symptoms and precise application of management procedures, such as fertilization or the application of pesticides. In addition, multispectral data will be used to predict the date of harvest, which will allow for improved management of sales and thus stabilize sales benefits. By developing this novel process, which will be transferable to further crops in the future, OPTIKO contributes to the digitalization of agriculture and complements already established operational processes and existing agro-technology.
Section overview
Subjects
- Crop Production
- Crop Protection
- Vegetable Gardening
- Computer science
