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September 10, 2025Journal Of Computer Networks Architecture and High Performance ComputingOpen Access

Expert System Based on K-Nearest Neighbor for Oil Palm Fertilizer Application Optimization

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Authors

ATAnggun TriutamiNorth Sumatra Islamic UniversityMFM. FakhrizaUniversitas Informatika dan Bisnis Indonesia

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Implication

Quantitative analysis demonstrates KNN's potential for recommending fertilizers based on soil conditions and plant age.

Key Points

  • KNearest Neighbor algorithm provided fertilizer recommendations tailored to oil palm plants.
  • The optimized KNN model achieved an accuracy measurement of 63.63% with a K-value of 6.
  • This study utilized a quantitative approach including data from PT. Nusantara Plantation IV for model development.
  • Results highlight the potential for enhancing crop yields while minimizing environmental impact through optimized fertilizer use.

Cite This Study

Triutami et al. (2025) studied this question.

synapsesocial.com/papers/68c1b60d54b1d3bfb60eb1f9https://doi.org/10.47709/cnahpc.v7i3.6092
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Using the Soil-Adjustment Vegetation Index from Landsat-8 Imagery for Estimating the Nutrient Content of Oil Palm Leaves for Optimized Fertilizer Application2025 · 1 citations
  2. 2Using the Soil-Adjustment Vegetation Index from Landsat-8 Imagery for Estimating the Nutrient Content of Oil Palm Leaves for Optimized Fertilizer Application2025
  3. 3Crop Recommendation Based on Soil and Weather Conditions Using the K-Nearest Neighbors Algorithm2025 · 2 citations
  4. 4A multi-objective decision support system for zone-specific fertilizer recommendation using soil fertility prediction models2026
  5. 5Sustainable Food Development Based on Ensemble Machine Learning Assisted Crop and Fertilizer Recommendation System2024 · 7 citations