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Sana Solo: An Intelligent Approach to Measure Soil Fertility

  • Laavanya Rachakonda,
  • Samuel Stasiewicz

摘要

Worm castings (Worm Excretion) are one the richest natural fertilizers on earth, making earthworms a very important and applicable soil health indicator. According to an article published in the Polish journal of Environmental studies, the most important chemical components of worm castings are pH, total organic carbon (TOC), total nitrogen (N), plant available phosphorus (P), plant available potassium (K), and calcium water soluble (Ca). These chemical components of worm castings, paired with soil temperature, humidity and electric conductivity, are all measurable values that can indicate the overall health and fertility of soil. Furthermore, these physical-chemical properties can also be measured and analyzed to estimate worm populations in soil, making traditional manual extraction techniques obsolete. The proposed project, Sana Solo, is a device that uses machine learning to estimate worm populations based on the quantities of the physical-chemical properties listed above. Being able to estimate earthworm populations in a timely manner, without the use of extraction techniques, can be used in farms and gardens to evaluate soil fertility.