Now showing items 1-3 of 3

    • Data Mining and Machine Learning Algorithms for Optimizing Maize Yield Forecasting in Central Europe 

      Harsányi, Endre; Bashir, Bashar; Arshad, Sana; Ocwa, Akasairi; Vad, Attila; Alsalman, Abdullah; Mohammed, Safwan; Széles, Adrienn; Hijazi, Omar; Rátonyi, Tamás; Bácskai, István (MDPI, 2023-05)
      Artificial intelligence, specifically machine learning (ML), serves as a valuable tool for decision support in crop management under ongoing climate change. However, ML implementation to predict maize yield is still ...
    • Maize Grain Yield and Quality Improvement Through Biostimulant Application: a Systematic Review 

      Ocwa, Akasairi; Mohammed, Safwan; Mousavi, Seyed Mohammad Nasir; Illés, Árpád; Bojtor, Csaba; Ragán, Péter; Rátonyi, Tamás; Harsányi, Endre (Springer, 2024-02)
      Increasing the productivity of cereals such as maize while protecting the environment remains a fundamental impetus of healthy food production systems. The use of biostimulants is one of the sustainable strategies to ...
    • Seed treatment with Bacillus bacteria improves maize production: a narrative review 

      Ocwa, Akasairi; Ssemugenze, Brian; Harsányi, Endre (OJS, 2024-06)
      Maize (Zea mays L.) is an important crop in relation to its production and consumption. Production of maize is constrained by soil infertility and poor quality seed. Microbial technologies like seed treatment with Bacillus ...