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Technological Progress Toward Peanut Disease Management: A Review.

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Precision spraying technologies, including AI and remote sensing, improve peanut crop disease management. However, current smart sprayers need further development for effective root disease control and large-scale farming applications.

Keywords:
artificial intelligencecomputer visiondisease scoutingdrone technologyprecision sprayersremote sensing

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Area of Science:

  • Agricultural Engineering
  • Plant Pathology
  • Computer Science

Background:

  • Peanut crops face significant yield losses due to diseases like leaf spot and southern blight.
  • Conventional sprayers lead to agrochemical overuse, while precision technologies offer accurate application.
  • Traditional crop scouting is labor-intensive and costly, necessitating technological advancements.

Purpose of the Study:

  • To review smart spraying techniques for peanut disease management.
  • To assess advancements in precision spraying and sensor technologies.
  • To identify limitations and future research needs in smart spraying for peanut production.

Main Methods:

  • Review of recent studies on precision spraying and disease scouting technologies.
  • Analysis of ground-based and unmanned aerial vehicle (UAV)-based systems.
  • Evaluation of sensor technologies including RGB, multispectral, thermal, hyperspectral, and LiDAR.

Main Results:

  • Significant advancements in precision spraying and AI-driven disease identification have been observed.
  • Various platforms and sensors are being integrated for smart spraying capabilities.
  • Current precision sprayers show limitations in managing soil-borne diseases like white mold.

Conclusions:

  • Further development is needed to enhance precision sprayer effectiveness, particularly for root diseases.
  • Advanced technologies are crucial for meeting the needs of large-scale peanut farmers.
  • Smart spraying holds potential to optimize agrochemical use and improve crop outcomes.