Machine learning for weed–plant discrimination in agriculture 5.0: An in-depth review

Filbert H. Juwono, W. K. Wong, Seema Verma, Neha Shekhawat, Basil Andy Lease, Catur Apriono

Research output: Contribution to journalReview articlepeer-review

6 Citations (Scopus)

Abstract

Agriculture 5.0 is an emerging concept where sensors, big data, Internet-of-Things (IoT), robots, and Artificial Intelligence (AI) are used for agricultural purposes. Different from Agriculture 4.0, robots and AI become the focus of the implementation in Agriculture 5.0. One of the applications of Agriculture 5.0 is weed management where robots are used to discriminate weeds from the crops or plants so that proper action can be performed to remove the weeds. This paper discusses an in-depth review of Machine Learning (ML) techniques used for discriminating weeds from crops or plants. We specifically present a detailed explanation of five steps required in using ML algorithms to distinguish between weeds and plants.

Original languageEnglish
Pages (from-to)13-25
Number of pages13
JournalArtificial Intelligence in Agriculture
Volume10
DOIs
Publication statusPublished - Dec 2023

Keywords

  • Agriculture 5.0
  • Machine learning
  • Unmanned aerial vehicle
  • Weed-plant discrimination

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