Standout Papers

Deep learning – Method overview and review of use for fruit detection and yield estimation 2019 2026 2021 2023 376
  1. Deep learning – Method overview and review of use for fruit detection and yield estimation (2019)
    Anand Koirala, Kerry B. Walsh et al. Computers and Electronics in Agriculture
  2. Deep learning for real-time fruit detection and orchard fruit load estimation: benchmarking of ‘MangoYOLO’ (2019)
    Anand Koirala, Kerry B. Walsh et al. Precision Agriculture

Immediate Impact

55 standout
Sub-graph 1 of 20

Citing Papers

Artificial intelligence in environmental monitoring: Advancements, challenges, and future directions
2024 Standout
A review on food spoilage mechanisms, food borne diseases and commercial aspects of food preservation and processing
2024 Standout
2 intermediate papers

Works of Cheryl McCarthy being referenced

Deep learning – Method overview and review of use for fruit detection and yield estimation
2019 Standout
<i>A review of the state of the art in agricultural automation. Part I: Sensing technologies for optimization of machine operation and farm inputs</i>
2018

Author Peers

Author Last Decade Papers Cites
Cheryl McCarthy 831 250 160 225 23 988
Jordi Gené-Mola 626 212 214 148 26 759
Anand Koirala 840 259 112 283 19 978
Shaoming Luo 582 131 85 264 42 1.2k
Yunong Tian 697 154 96 247 26 1.1k
Chaojun Hou 623 133 84 161 39 1.1k
Guichao Lin 729 99 86 175 22 909
Chenglin Wang 676 108 98 182 30 1.0k
Zhengang Yang 645 110 75 205 32 876
Suraj Amatya 761 237 151 173 11 850
Gensheng Hu 795 265 127 340 47 1.1k

All Works

Loading papers...

Rankless by CCL
2026