Skip to main navigation Skip to search Skip to main content

Real-Time Testing of Soil Qualities using Raspberry PI

  • B. Shubha
  • , R. Aadithya Shenoy
  • , V. M. Bhavyasree
  • , K. Padmavathi
  • , C. Shreesha

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Soil fertility plays a vital role in the soil's capacity to support plant growth. It is assessed through various factors, including macro and micro nutrients, water content, and pH levels. Each harvest depletes soil nutrients, necessitating their replenishment, often through the use of fertilizers. Farmers typically estimate the required fertilizer amounts, but applying too much or too little can negatively impact plant health and lower yields. Although soil testing is a common practice for monitoring nutrient levels, it can be time-consuming and yield inconsistent results between laboratory tests and field conditions. To address these issues, a new soil testing tool with temperature, color, and pH sensors provides real-time information on soil parameters like temperature, pH, and color. This tool offers a more precise and effective substitute for conventional soil testing techniques.

    Original languageEnglish
    Title of host publication2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1786-1790
    Number of pages5
    ISBN (Electronic)9798331505745
    DOIs
    Publication statusPublished - 2025
    Event2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025 - Bangkok, Thailand
    Duration: 10-03-202512-03-2025

    Publication series

    Name2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025 - Proceedings

    Conference

    Conference2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025
    Country/TerritoryThailand
    CityBangkok
    Period10-03-2512-03-25

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 2 - Zero Hunger
      SDG 2 Zero Hunger

    All Science Journal Classification (ASJC) codes

    • Control and Optimization
    • Health Informatics
    • Artificial Intelligence
    • Computer Science Applications
    • Computer Vision and Pattern Recognition
    • Information Systems and Management

    Fingerprint

    Dive into the research topics of 'Real-Time Testing of Soil Qualities using Raspberry PI'. Together they form a unique fingerprint.

    Cite this