Concepedia

Fruit Counting

Fruit Counting is an agricultural machine vision task that involves the automated detection and quantification of individual fruits in situ using image-based analysis to support crop yield estimation and orchard management.

459

Publications

28.3K

Citations

1.5K

Authors

495

Institutions

Publications per year

2017–2026

356

Parents

Publications

459

Deep Count: Fruit Counting Based on Deep Simulated Learning

Maryam Rahnemoonfar, Clay Sheppard · Sensors · 2017 · 520 citations · Full text

, , +12

Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards

Suchet Bargoti, James Underwood · Journal of Field Robotics · 2017 · 482 citations

, , +14

Deep learning for real-time fruit detection and orchard fruit load estimation: benchmarking of ‘MangoYOLO’

Anand Koirala, Kerry B. Walsh, Zhenzhen Wang et al. · Precision Agriculture · 2019 · 448 citations · Full text

, , +17

Faster R-CNN for multi-class fruit detection using a robotic vision system

Shaohua Wan, Sotirios K. Goudos · Computer Networks · 2019 · 439 citations

, , +7

Counting Apples and Oranges With Deep Learning: A Data-Driven Approach

Steven W. Chen, Shreyas S. Shivakumar, Sandeep Dcunha et al. · IEEE Robotics and Automation Letters · 2017 · 408 citations

, , +16

1–5 of 459

Authors

1.5K

  1. WS
    Won Suk Lee

    University of Florida, United States

    14 publications · 947 citations

    14

    h-index

  2. KB
    Kerry B. Walsh

    Central Queensland University, Australia

    13 publications · 1.3K citations

    12

    h-index

  3. LF
    Longsheng Fu

    Northwest A&F University, China

    8 publications · 549 citations

    9

    h-index

  4. MK
    Manoj Karkee

    Washington State University, United States

    7 publications · 342 citations

    8

    h-index

  5. AK
    Anand Koirala

    Central Queensland University, Australia

    8 publications · 760 citations

    8

    h-index

1–5 of 1.5K

Institutions

495

  1. Ministry of Agriculture and Rural Affairs

    Beijing, China

    17 h-index

    51 publications

    2.9K citations

  2. Northwest A&F University

    Yangling, China

    17 h-index

    86 publications

    5.7K citations

  3. University of Florida

    Gainesville, United States

    17 h-index

    40 publications

    2.9K citations

  4. South China Agricultural University

    Guangzhou, China

    15 h-index

    65 publications

    5.8K citations

  5. Central Queensland University

    Rockhampton, Australia

    12 h-index

    38 publications

    4K citations

  6. China Agricultural University

    Beijing, China

    11 h-index

    34 publications

    1.4K citations

  7. Washington State University

    Pullman, United States

    10 h-index

    24 publications

    1.6K citations

  8. Zhejiang University

    Hangzhou, China

    9 h-index

    28 publications

    2.2K citations

1–8 of 495

Venues

  1. Computers and Electronics in Agriculture

    66 publications · 5.2K citations

    41

    h-index

  2. Sensors

    28 publications · 2.4K citations

    22

    h-index

  3. Biosystems Engineering

    20 publications · 1.8K citations

    19

    h-index

  4. Agronomy

    19 publications · 1.1K citations

    17

    h-index

  5. IEEE Access

    14 publications · 909 citations

    14

    h-index

1–5