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The integration of the Internet of Things (IoT) and Machine Learning (ML) has essentially made strides in present-day agricultural practices by empowering data-driven decision-making and resource optimization. This survey investigates IoT-ML applications in smart agriculture, categorizing the considers analyzed into three topics: optimizing irrigation and water management utilizing IoT and ML, observing and detecting crop diseases by means of IoT and ML, and combined approaches for smart farm management. The survey highlights the methodologies utilized, key results and existing limitations. The review points to supply an outline of the most recent propels and future inquire about headings in precision agriculture.

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Smart Agriculture Technologies: Integrating IoT and Machine Learning

  • 会议论文

  • 发表日期：

    2026年

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  • Safae Mougare,
  • Hassan Saadaoui,
  • Karim Abouelmehdi

摘要

The integration of the Internet of Things (IoT) and Machine Learning (ML) has essentially made strides in present-day agricultural practices by empowering data-driven decision-making and resource optimization. This survey investigates IoT-ML applications in smart agriculture, categorizing the considers analyzed into three topics: optimizing irrigation and water management utilizing IoT and ML, observing and detecting crop diseases by means of IoT and ML, and combined approaches for smart farm management. The survey highlights the methodologies utilized, key results and existing limitations. The review points to supply an outline of the most recent propels and future inquire about headings in precision agriculture.