About this document
IoT Soil Fertility Assessment System by Vien Ako Revilo is a document available to read on EtoBox.
This document describes a study that developed an IoT-based system to assess and monitor soil nutrient content and fertility conditions. The system uses an integrated sensor to measure nitrogen, phosphorus, potassium, pH, moisture, and humidity levels in soil. Researchers conducted experiments comparing these measurements across different soil types (clay, loam, sand). The sensor data is transmitted to a web/mobile application for monitoring. The study found clay-loam soil had the highest nutrient levels an
- Author
- Vien Ako Revilo
- Language
- EN