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Foliar Chlorophyll Monitoring to Enhance Palm Oil Plant Productivity

  • Nur Damia Adnan,
  • Mohd Sallehin Mohd Kassim,
  • Hassan Dao,
  • Maizatul Suriza Mohamed,
  • Aznida Abu Bakar Sajak

摘要

In the modern agricultural landscape, enhancing productivity stands as a central objective. The monitoring system of palm oil plant health development based on Foliar Chlorophyll Leaves with IoT, presents an innovative approach to improve palm oil plantation management. Utilizing the ESP32 microcontroller, data from the color sensor is processed, with integrated Wi-Fi capabilities enabling seamless connectivity to the platform. These readings are subject to storage, analysis, and comparison against predefined ranges to ascertain the distinct health status of the plants. Collaboration with the Malaysian Palm Oil Board ensures alignment with user requirements and demands, strengthening the system’s efficacy and reliability. The paper provides a detailed overview of the plant health monitoring process, outlining various treatments and their corresponding RGB color sensor readings. Each treatment, representing a specific plant type, is accompanied by the date of leaf testing, offering a comprehensive insight into the monitoring procedure. Results indicate the system’s effectiveness in detecting stress-induced physiological changes and early signs of diseases, equipping farmers and plantation managers with actionable data for informed decision-making.