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Иш: Advancing agriculture with machine learning: a new frontier in weed management

  1. Machine Learning: Algorithms, Real-World Applications and Research Directions

    Iqbal H. Sarker

    Шарҳ мақола20219 иқтибос
    ABI
  2. Ecosystem consequences of herbicides: the role of microbiome

    Suvi Ruuskanen, Benjamin Fuchs, Riitta Nissinen +4

    Шарҳ мақола20223 иқтибос
    ABI
  3. Incorporating Artificial Intelligence Technology in Smart Greenhouses: Current State of the Art

    Chrysanthos Maraveas

    Мақола20223 иқтибос
    ABI
  4. Crop Prediction Model Using Machine Learning Algorithms

    Ersin Elbaşı, Chamseddine Zaki, Ahmet E. Topcu +5

    Мақола20233 иқтибос
    ABI
  5. Supervised Machine Learning: A Brief Primer

    Tammy Jiang, Jaimie L. Gradus, Anthony J. Rosellini

    Шарҳ мақола20202 иқтибос
    ABI
  6. Unsupervised K-Means Clustering Algorithm

    Kristina P. Sinaga, Miin‐Shen Yang

    Мақола20202 иқтибос
    ABI
  7. Advances in site‐specific weed management in agriculture—A review

    Roland Gerhards, Dionisio Andújar Sánchez, Pavel Hamouz +3

    Мақола20222 иқтибос
    ABI
  8. Big Data for weed control and crop protection

    F.K. van Evert, S. Fountas, Dušan Jakovetić +3

    Мақола20172 иқтибос
    ABI
  9. Integrated Weed Management in Herbaceous Field Crops

    Aurelio Scavo, Giovanni Mauromicale

    Мақола20202 иқтибос
    ABI
  10. Soil Health and Sustainable Agriculture

    Monther Mohumad Tahat, Kholoud M. Alananbeh, Yahia A. Othman +1

    Мақола20202 иқтибос
    ABI
  11. Herbicide Fate and Transport in the Great Barrier Reef: A Review of Critical Parameters

    Kamrun Nahar, Justine Baillie, Noor Azwa Zulkarnain

    Шарҳ мақола20232 иқтибос
    ABI
  12. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI