Autonomous robotic weed control systems: A review
2007 · Computers and Electronics in Agriculture · 787 citations
https://doi.org/10.1016/j.compag.2007.05.008
D
David C. Slaughter
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189
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43
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101
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David C. Slaughter is an academic researcher from University of California, Davis. The author has contributed to research in topics: Smart Agriculture and AI & Spectroscopy and Chemometric Analyses & Postharvest Quality and Shelf Life Management. The author has an h-index of 43, co-authored 161 publications.
Papers by this author
worksReal-time weed-crop classification and localisation technique for robotic weed control in lettuce
2020 · Biosystems Engineering · 154 citations
https://doi.org/10.1016/j.biosystemseng.2020.02.002
Crop signalling: A novel crop recognition technique for robotic weed control
2019 · Biosystems Engineering · 50 citations
https://doi.org/10.1016/j.biosystemseng.2019.09.011
Real-time control of high-resolution micro-jet sprayer integrated with machine vision for precision weed control
2023 · Biosystems Engineering · 42 citations
https://doi.org/10.1016/j.biosystemseng.2023.02.006
Fluorescence imaging for rapid monitoring of translocation behaviour of systemic markers in snap beans for automated crop/weed discrimination
2019 · Biosystems Engineering · 36 citations
https://doi.org/10.1016/j.biosystemseng.2019.07.009
Hyperspectral species mapping for automatic weed control in tomato under thermal environmental stress
2011 · Computers and Electronics in Agriculture · 35 citations
https://doi.org/10.1016/j.compag.2011.04.001
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