Input Recommendation Systems

Input Recommendation System is a decision-support framework that belongs to the class of agricultural management tools and is distinguished by its specification of optimal rates, timing, and placement of nutrient inputs based on spatially variable field conditions to enhance crop productivity and environmental sustainability.

8

Publications

386

Citations

41

Authors

17

Institutions

Publications per year

2017–2026

7

Variants

Input Recommendation System

Authors

41

  1. IM
    Israr Majeed

    Indian Institute of Technology Kharagpur, India

    1 publications · 20 citations

    1

    h-index

  2. EP
    Elmer P. Dadios

    De La Salle University, Philippines

    1 publications · 19 citations

    1

    h-index

  3. GR
    G. Raju

    Kannur University, India

    1 publications · 30 citations

    1

    h-index

  4. WH
    Wentian He

    Chinese Academy of Agricultural Sciences, China

    1 publications · 53 citations

    1

    h-index

  5. ZD
    Zeel Doshi

    Dwarkadas J. Sanghvi College of Engineering, India

    1 publications · 203 citations

    1

    h-index

1–5 of 41

Venues

  1. European Journal of Agronomy

    1 publications · 53 citations

    1

    h-index

  2. Iowa State University Digital Repository (Iowa State University)

    Repository · 1 publications · 29 citations

    1

    h-index

  3. 1

    h-index

  4. Soil Use and Management

    1 publications · 20 citations

    1

    h-index

  5. 1

    h-index

1–5