A review on weed detection using ground-based machine vision and image processing techniques
2019 · Computers and Electronics in Agriculture · 624 citations
https://doi.org/10.1016/j.compag.2019.02.005
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Aichen Wang
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Aichen Wang is an academic researcher from Jiangsu University. The author has contributed to research in topics: Spectroscopy and Chemometric Analyses & Smart Agriculture and AI & Remote Sensing in Agriculture. The author has an h-index of 19, co-authored 41 publications.
ORCID: 0000-0002-3072-8954Papers by this author
worksSemantic Segmentation of Crop and Weed using an Encoder-Decoder Network and Image Enhancement Method under Uncontrolled Outdoor Illumination
2020 · IEEE Access · 124 citations
https://doi.org/10.1109/access.2020.2991354
A sequential method for estimating the optical properties of two-layer agro-products from spatially-resolved diffuse reflectance: Simulation
2019 · Artificial Intelligence in Agriculture · 4 citations
https://doi.org/10.1016/j.aiia.2019.12.003
SP-DETR: Superior point weak semi-supervised DETR with teacher–student paradigm for crop and weed detection
2025 · Computers and Electronics in Agriculture · 2 citations
https://doi.org/10.1016/j.compag.2025.111130
Characterization of the Freshness of Cherry Tomatoes by Headspace Solid-Phase Microextraction (HS-SPME) with Gas Chromatography-Mass Spectrometry (GC-MS) and E-Nose
2025 · Analytical Letters · 0 citations
https://doi.org/10.1080/00032719.2025.2527263
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