Agrosoil Monitoring and Steering System

The AgroSoil Monitoring and Steering System is a smart farming idea designed to monitor soil health and automate irrigation through IoT and cloud systems. The AgroSoil Monitoring and Steering System is informed by the ESP32 microcontroller that integrates between the Soil Moisture and NPK sensors to gather real-time data then analyzed and displayed on the Arduino Cloud Dashboard. The system auto controls irrigation pumps through a 5V relay module based on soil moisture status at the time of monitoring, while also efficiently utilizing water and minimizing manual labor. The system design is compact, utilizes breadboard build, and is flexible for different sizes of farms. Preliminary results yielded improved soil stability and moisture balance. This monitored the system performance through cloud while having the potential for AI integration to conduct predictive analysis which adds value to sustainable and efficient farming practices through data-driven decision-making.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-21
DOI
https://doi.org/10.5281/zenodo.17671905
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

Agrosoil Monitoring and Steering System

Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

Agrosoil Monitoring and Steering System

article en

Abstract

The AgroSoil Monitoring and Steering System is a smart farming idea designed to monitor soil health and automate irrigation through IoT and cloud systems. The AgroSoil Monitoring and Steering System is informed by the ESP32 microcontroller that integrates between the Soil Moisture and NPK sensors to gather real-time data then analyzed and displayed on the Arduino Cloud Dashboard. The system auto controls irrigation pumps through a 5V relay module based on soil moisture status at the time of monitoring, while also efficiently utilizing water and minimizing manual labor. The system design is compact, utilizes breadboard build, and is flexible for different sizes of farms. Preliminary results yielded improved soil stability and moisture balance. This monitored the system performance through cloud while having the potential for AI integration to conduct predictive analysis which adds value to sustainable and efficient farming practices through data-driven decision-making.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 29%
Smart Agriculture and AI
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