Herbicide Coverage Optimization

Herbicide Coverage Optimization is a methodological framework within spot application research that systematically enhances the spatial precision and efficacy of herbicide delivery by minimizing application overlap and gap areas through real-time decision algorithms and sensor-guided targeting.

3

Publications

133

Citations

8

Authors

3

Institutions

Publications per year

2017–2026

1

Authors

8

  1. TW
    Travis W. Gannon

    North Carolina State University, United States

    1 publications · 74 citations

    1

    h-index

  2. JE
    Joseph E. Hunter

    North Carolina State University, United States

    1 publications · 74 citations

    1

    h-index

  3. WG
    William G. Johnson

    Purdue University West Lafayette, United States

    1 publications · 31 citations

    1

    h-index

  4. RJ
    Robert J. Richardson

    North Carolina State University, United States

    1 publications · 74 citations

    1

    h-index

  5. TR
    Travis R. Legleiter

    University of Missouri, United States

    1 publications · 31 citations

    1

    h-index

1–5 of 8

Venues

  1. Agricultural Systems

    1 publications · 28 citations

    1

    h-index

  2. Weed Technology

    1 publications · 74 citations

    1

    h-index

  3. Crop Protection

    1 publications · 31 citations

    1

    h-index

  4. Precision Agriculture

    1 publications · 17 citations

  5. Ecological Applications

    1 publications · 12 citations

1–5