Precision recording of the experiments of the national organic post-registration cereal variety test network
The pace of technological progress is outpacing the digitisation of the agricultural sector. Farmers face many challenges: extremes caused by climate change, adverse economic trends and increasing market competition. The use of objective, digital data-based decision support systems is essential to increase production efficiency and facilitate adaptation. In this context, the use of multispectral remote sensing, already used in conventional agriculture, in organic cereal variety trials is a key step to facilitate variety evaluation and successful varietal selection.
Activities
We are continuing our drone multispectral analysis of organic post-registration cereal variety tests.
We offer insight into the vegetation status through remote sensing data collection during the flowering period, using and fine-tuning known and new spectral target indices.
Image processing algorithms will be used to improve and combine our methods for monitoring plant nutritional values, yield estimates and other parameters (e.g. plant height, plant health).
Expected results
- Further development of an organic cereal species testing methodology based on remote sensing.
- Developing new approaches to assessing plant health status and site-specific responses of varieties.
- The use of remote sensing data in organic variety test assessments.
- We will produce publications to explain the development of the technology and to aid in its adaptation, thus facilitating its practical implementation.
Contact person
Balázs Labus
Head of agricultural informatics team, Research project leader
IT expert and agronomist in management
balazs.labus@biokutatas.hu
The implementation of the research is supported by Hungarian National Rural Network (MNVH): www.videkihalozat.eu
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