Standout Papers

A deep learning approach incorporating YOLO v5 and attention mechanisms for field real-time detection of the invasive wee... 2022 2026 2023 2024132
  1. A deep learning approach incorporating YOLO v5 and attention mechanisms for field real-time detection of the invasive weed Solanum rostratum Dunal seedlings (2022)
    Qifan Wang, Man Cheng et al. Computers and Electronics in Agriculture

Immediate Impact

17 standout
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Citing Papers

Smart solutions for capsicum Harvesting: Unleashing the power of YOLO for Detection, Segmentation, growth stage Classification, Counting, and real-time mobile identification
2024 Standout
Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data
2024 Standout
1 intermediate paper

Works of Zhenjiang Cai being referenced

Spectral technology and multispectral imaging for estimating the photosynthetic pigments and SPAD of the Chinese cabbage based on machine learning
2022
A deep learning approach incorporating YOLO v5 and attention mechanisms for field real-time detection of the invasive weed Solanum rostratum Dunal seedlings
2022 Standout

Author Peers

Author Last Decade Papers Cites
Zhenjiang Cai 38 26 38 172 75 20 395
Gilberto Astolfi 44 8 5 191 73 18 368
Chengzhi Ruan 66 26 5 287 50 23 441
Ebenezer O. Olaniyi 43 19 9 151 40 23 427
Yingjun Xiong 37 12 9 215 52 14 385
C.M. Onyango 74 10 5 192 89 24 377
Qiuju Xie 12 11 8 93 40 26 410
U.M. Peiper 23 14 23 176 13 19 380
Kim Arild Steen 85 29 8 143 100 14 379
Marco Álvarez 42 11 7 106 48 14 372
Anil Bhujel 22 49 3 228 48 18 420

All Works

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2026