Fertilizer Recommendation Algorithms

Fertilizer Recommendation Algorithms is a computational method that determines spatially variable nutrient application rates for crops by integrating field-specific data such as soil properties, yield history, and sensor-derived crop conditions, differentiated from general agronomic guidelines by its site-specific, algorithm-driven precision in optimizing fertilizer use efficiency and minimizing environmental impact.

94

Publications

4K

Citations

393

Authors

176

Institutions

Publications per year

2017–2026

57

Authors

393

  1. PH
    Ping He

    Institute of Agricultural Resources and Regional Planning, China

    4 publications · 274 citations

    4

    h-index

  2. XX
    Xinpeng Xu

    Institute of Agricultural Resources and Regional Planning, China

    4 publications · 274 citations

    4

    h-index

  3. SM
    Stephan M. Haefele

    Rothamsted Research, United Kingdom

    3 publications · 83 citations

    3

    h-index

  4. ED
    Emerson D. Nafziger

    University of Illinois Urbana-Champaign, United States

    3 publications · 155 citations

    3

    h-index

  5. JE
    John E. Sawyer

    Iowa State University, United States

    3 publications · 155 citations

    3

    h-index

1–5 of 393

Venues

  1. Agronomy Journal

    6 publications · 607 citations

    6

    h-index

  2. Nutrient Cycling in Agroecosystems

    6 publications · 184 citations

    6

    h-index

  3. Field Crops Research

    7 publications · 346 citations

    6

    h-index

  4. Computers and Electronics in Agriculture

    6 publications · 380 citations

    5

    h-index

  5. Precision Agriculture

    2 publications · 93 citations

    2

    h-index

1–5