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8I25001

AI-Enhanced NPK Management for Optimized Hydroponic Cultivation

Public support

  • Provider

    Ministry of Education, Youth and Sports

  • Programme

  • Call for proposals

  • Main participants

    Mendelova univerzita v Brně / Zahradnická fakulta

  • Contest type

    M2 - International cooperation

  • Contract ID

    -

Alternative language

  • Project name in Czech

    AI-Enhanced NPK Management for Optimized Hydroponic Cultivation

  • Annotation in Czech

    The project aims to develop an AI-driven system for precise NPK (Nitrogen, Phosphorus, Potassium) management in hydroponic systems. Using deep learning, it combines a calibration-free spectroscopy approach with a standard addition method to accurately measure NPK concentrations. A decision tree algorithm will adjust nutrient and pH levels from fertilizer salts, ensuring optimal plant growth. Cultivation trials with selected vegetable species will evaluate different fertigation strategies, plant biomass, and internal quality parameters such as antioxidants. Photosynthetic activity, root microbiome, and microbial interactions will also be assessed. Additionally, the system will be tested in an aquaponics unit to verify its adaptability for other intensive production systems. This research integrates artificial intelligence AI, digital monitoring, and machine learning to advance precision farming. By aligning with EU and Japan’s agricultural priorities, the project contributes to sustainable and efficient nutrient management in hydroponic farming.

Scientific branches

  • R&D category

    AP - Applied research

  • OECD FORD - main branch

    40105 - Horticulture, viticulture

  • OECD FORD - secondary branch

  • OECD FORD - another secondary branch

  • CEP - equivalent branches <br>(according to the <a href="http://www.vyzkum.cz/storage/att/E6EF7938F0E854BAE520AC119FB22E8D/Prevodnik_oboru_Frascati.pdf">converter</a>)

    GE - Plant cultivation

Solution timeline

  • Realization period - beginning

    Apr 1, 2025

  • Realization period - end

    Mar 31, 2028

  • Project status

    Z - Beginning multi-year project

  • Latest support payment

Data delivery to CEP

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

  • Data delivery code

    CEP25-MSM-8I-R

  • Data delivery date

    Jun 5, 2025

Finance

  • Total approved costs

    3,633 thou. CZK

  • Public financial support

    3,633 thou. CZK

  • Other public sources

    0 thou. CZK

  • Non public and foreign sources

    0 thou. CZK