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Fertilizer recommendation methods for precision agriculture – a systematic literature study

Engenharia Agricola, ISSN: 1809-4430, Vol: 42, Issue: 1
2022
  • 8
    Citations
  • 0
    Usage
  • 37
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    8
  • Captures
    37
  • Mentions
    1
    • News Mentions
      1
      • News
        1

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Data processing to remove outliers and inliers: A systematic literature study/Processamento de dados para remocao de pontos outliers e inliers: Estudo sistematico da literatura.

INTRODUCTION Higher crop yields have long been a priority, driven especially by the increasing global population. This has necessitated not only the expansion of productive

Article Description

Spatial variability management of soil chemical attributes is one of the approaches to be employed in the face of the constant challenge of increasing agricultural yield to meet world demand. In this sense, precision agriculture has as one of its tools the application of inputs at varying rates, which seeks to determine the ideal amount of fertilizer at each point of the crop, contrary to the conventional recommendation approach based on average values. In this context, this work studied the fertilizer recommendation methods used in site-specific nutrient management and the calculation methodologies for N, P, and K recommendations. For this purpose, a systematic literature study (SLS), consisting of systematic literature mapping, snowballing, and systematic literature review was performed. The analyzed studies were grouped into five domains (precision agriculture, soil fertility, site-specific nutrient application, fertilizer recommendation methods, and recommendation software for site-specific nutrient application). As a result, the SLS identified 12 methods for recommending N, nine for recommending P, and six for recommending K, in addition to five computer programs for precision agriculture that perform fertilizer recommendations at varying rates.

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