Agricultural production must be effective, competitive, and profitable while also minimizing any environmental impact. Digital technologies like remote and local sensing, data analytics, artificial intelligence (AI), the Internet of Things (IoT), automation, and robotics offer opportunities to address these challenges. Despite this, the uptake of these new technologies in the agricultural sector has been slow.
Our project is creating a data-based service to support farmers. We’re developing and testing new technologies including drones, ground-based sensors, and machine learning methods for data analysis. The goal is to rapidly evaluate what works best for growing organic crops including medicinal and aromatic plants (MAPs). Parameters to be measured and analyzed include yield volume estimation, plant stress, weed detection, plant blooming success, and the role of active compounds.
By developing these technologies and gathering data, we can demonstrate the most effective ways to grow organic MAPs, starting in Latvia and then extending to other interested countries.
Total potential economic value of MAP cultivation in Latvia:
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This calculation is based on all agricultural land being used to cultivate chamomile.