Development of an IoT-Based Soil Macronutrient Analysis System Utilizing Electrochemical Sensors and Machine Learning Algorithms

Author:

Amado Timothy M.1,Alvarez Adrian Erwin D.1,Ocampo Allyssa1,Paz Venise Aziel F.1,Punongbayan Airah Jan N.1,M Lemuel1,Yumena 1,Padilla Maria Victoria C.1,Madrigal Gilfred Allen M.1,Tolentino Lean Karlo S.1,Monilar Edmund G.1

Affiliation:

1. Technological University of the Philippines,Electronics Engineering Department,Manila,Philippines

Publisher

IEEE

Reference19 articles.

1. Development of a solar-powered smart aquaponics system through internet of things (IoT);galido;Lecture Notes on Research and Innovation in Computer Engineering and Computer Sciences,2019

2. Aquadroid: An app for aquaponics control and monitoring;tolentino;6th International Conference on Civil Engineering (6th ICCE 2017),2017

3. Soil NPK Prediction using Enhanced Genetic Algorithm;monica;2023 9th International Conference on Advanced Computing and Communication Systems (lCACCS),2023

4. SoilMac.pH: Arduino-Based Automated Soil Macronutrients and pH Level Analyzer Using Visible-Near Infrared Spectrometer;padilla;2023 International Conference on Network Multimedia and Information Technology (NMITCON),2023

5. ISFET pH Sensitivity: Counter-Ions Play a Key Role;parizi;Scientific Reports,2017

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