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Developing Automated and Autonomous Weed Control Methods on Vegetable Crops in New Zealand

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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/rob.21727openalex-extracted

Robot for weed species plant‐specific management

inferredcites →https://doi.org/10.1007/978-3-319-07488-7_30openalex-extracted

Robotics for Sustainable Broad-Acre Agriculture

inferredcites →https://doi.org/10.1007/978-94-007-7512-1_2openalex-extracted

Current State of Weed Management in Organic and Conventional Cropping Systems

inferredcites →https://doi.org/10.1016/b978-0-12-812065-1.00018-xopenalex-extracted

Websites of Ethical Codes (Accessed November 2017)

inferredcites →https://doi.org/10.1016/j.compag.2018.06.008openalex-extracted

Big data and machine learning for crop protection

inferredcites →https://doi.org/10.1080/02571862.2001.10634415openalex-extracted

Effect of seeding date on the performance of grasses and broadleaf species evaluated for cover crop management in two wine grape regions of South Africa

inferredcites →https://doi.org/10.1109/icra.2018.8460962openalex-extracted

Real-Time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs

inferredcites →https://doi.org/10.1111/j.1365-3180.1991.tb01756.xopenalex-extracted

Using plant population biology in weed research: a strategy to improve weed management

inferredcites →https://doi.org/10.1145/2702613.2732894openalex-extracted

Bringing the Farmer Perspective to Agricultural Robots

inferredcites →https://doi.org/10.21273/hortsci.36.7.1214openalex-extracted

Yield, Shoot and Root Growth, and Physiological Responses of Mature Peach Trees to Grass Competition

inferredcites →https://doi.org/10.2307/3558403openalex-extracted

Adaptation of Senecio vulgaris (Asteraceae) to ruderal and agricultural habitats

inferredcites →https://doi.org/10.30843/nzpp.2013.66.5717openalex-extracted

Weed population dynamics for contrasting organic pasture establishment techniques

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/rob.70023openalex-snapshot

Advances in Path‐Planning Algorithms for Agricultural Robots

inferred← citeshttps://doi.org/10.1007/s44187-025-00576-3openalex-snapshot

Opportunities, challenges, and interventions for agriculture 4.0 adoption

inferred← citeshttps://doi.org/10.1016/j.compag.2023.107698openalex-snapshot

Applications of deep learning in precision weed management: A review

inferred← citeshttps://doi.org/10.1111/wre.12570openalex-snapshot

Could the dawn of Level 4 robotic weeders facilitate a revolution in ecological weed management?

inferred← citeshttps://doi.org/10.3389/fsufs.2025.1464020openalex-snapshot

Digital technologies commercially available in Germany in the context of nature conservation and ecosystem service provisioning in agriculture

inferred← citeshttps://doi.org/10.3390/s24206743openalex-snapshot

Sensing and Perception in Robotic Weeding: Innovations and Limitations for Digital Agriculture

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