PhilArchive
open access
ARMING OPTIMIZED AGRICULTURAL WATER USAGE AND PRODUCTION
he Sensor-Integrated IoT Solution for Precision Farming is designed to optimize agricultural water usage and enhance crop productivity through real-time monitoring and automated control. The system uses an Arduino and NodeMCU to collect and process data from various sensors, including a pH sensor for water quality, a DHT11 sensor for temperature and humidity, and a soil moisture sensor to assess soil conditions. Sensor data is displayed on an LCD and uploaded to the ThingSpeak platform for remote monitoring. When the pH value deviates from the optimal range, the system activates two water pumps—first, the outlet pump to remove poorquality water, followed by the inlet pump to introduce fresh water. Relays control the operation of the pumps, ensuring efficient water management. By integrating IoT technology, this system enhances water conservation, reduces manual intervention, and improves overall agricultural efficiency, making precision farming more sustainable and effective
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Design and Experimental Validation of a Low-Power IoT-Based Smart Irrigation System Using LoRa, ET0, and Crop Water Stress Index for Precision Agriculture#643282
- Denmark – Water purification plant construction work – Technical Water Treatment Plant — DIN Forsyning Teknisk Vand A/S (DNK) · 45000000 EUR#782886
- Teknologi RANCANG BANGUN EARLY WARNING SYSTEM LANDSLIDE MENGGUNAKAN SENSOR SOIL MOISTURE METER BERBASIS INTERNET OF THINGS (IoT) : Elektronika Sistem Senjata#1003104
- Inteligencia artificial para la securización de dispositivos IoT: informe de percepción sobre seguridad en IoT doméstico#206804
- Teknologi IMPLEMENTASI SENSOR FINGERPRINT DAN PENGOLAHAN CITRA WAJAH PADA SISTEM PENGAMANAN SENJATA ELEKTRIK BERBASIS RASPBERRY PI: Elkasista#1003100
Record · ID 90053
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive