Ore Sensing

Ore Sensing is a technical method in mining robotics that enables the real-time identification and characterization of mineral deposits through the analysis of geophysical and geochemical signals, distinguishing it from broader exploration techniques by its focus on automated, in situ detection for robotic decision-making.

46

Publications

1.9K

Citations

157

Authors

73

Institutions

Publications per year

2017–2026

18

Authors

157

  1. MA
    Mohamed A. Shenashen

    National Institute for Materials Science, Japan

    3 publications · 88 citations

    3

    h-index

  2. EA
    Emad A. Elshehy

    Nuclear Materials Authority, Egypt

    3 publications · 88 citations

    3

    h-index

  3. SA
    Sherif A. El‐Safty

    National Institute for Materials Science, Japan

    3 publications · 88 citations

    3

    h-index

  4. HJ
    Hylke J. Glass

    University of Exeter, United Kingdom

    2 publications · 40 citations

    2

    h-index

  5. SI
    Shekwonyadu Iyakwari

    Nasarawa State University, Nigeria

    2 publications · 40 citations

    2

    h-index

1–5 of 157

Venues

  1. Minerals Engineering

    5 publications · 225 citations

    5

    h-index

  2. Arabian Journal of Geosciences

    3 publications · 110 citations

    3

    h-index

  3. Journal of Visualized Experiments

    2 publications · 38 citations

    2

    h-index

  4. Remote Sensing

    2 publications · 92 citations

    2

    h-index

  5. Natural Resources Research

    NRR · 2 publications · 127 citations

    2

    h-index

1–5