The transition to a high tech-driven, circular agriculture is the key target of this research project. The project will deliver new sensor applications and AI tools that will realize a productivity boost via a data-driven potato production system within the framework of circular agriculture.
Read all about our Work Packages, team members and partners. Every work package also contains explainer videos.
New paper on ‘UAV usage for detection of nematodes’ has been published
Potato production can suffer substantial yield losses due to high population densities of the potato cyst nematodes (PCN) Globodera pallida and G. rostochiensis. This study aims to evaluate the use of an unmanned vehicle (UAV) to detect and estimate the effect of PCN densities on four cultivated potato cultivars in a naturally infested field in the Netherlands.Read more
Site-specific visual yield determination in seed potato harvesting
Multiple projects, among which TTADDA, have contributed to the successful development of a precision camera-based potato yield mapping system. This visual yield mapping system is the next step in closing the precision agriculture cycle, providing crystal-clear insights in the potatoes harvested per square meter.Read more
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