A Smart Farming Solution for Greenhouse Environment Control Using PIC16F877

This research focuses on the development of a measurement and control system for the main parameters of agricultural greenhouses, based on the PIC16F877 microcontroller. Installed at the University of Oran 1, the system utilizes temperature, humidity, and light sensors to monitor the greenhouse environment. A measurement and control system is already installed, and we have developed a low cost and reliable redundancy for it. The results obtained are accurate with an acceptable tolerance of 1.2% for temperature and 2.4% for humidity. Relays have been implemented to control the direction and speed of the fans, ensuring optimal conditions within the greenhouse. After validating the board through several tests and calibrations, a commercial PCB version was produced using open source EasyEDA software for the design. To enhance data dissemination and contribute further, a WiFi module with a protocol for communication will be added, introducing a smart agricultural greenhouse.

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Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/edis63605.2024.10783194
Citations
1
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.60
Controls
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article

A Smart Farming Solution for Greenhouse Environment Control Using PIC16F877

A. Belherazem, Mohammed Amine Zafrane, Houari Aoued
1 citations
Smart Agriculture and AI
0.60
article

A Smart Farming Solution for Greenhouse Environment Control Using PIC16F877

A. Belherazem, Mohammed Amine Zafrane, Houari Aoued
article en
1 citations

Abstract

This research focuses on the development of a measurement and control system for the main parameters of agricultural greenhouses, based on the PIC16F877 microcontroller. Installed at the University of Oran 1, the system utilizes temperature, humidity, and light sensors to monitor the greenhouse environment. A measurement and control system is already installed, and we have developed a low cost and reliable redundancy for it. The results obtained are accurate with an acceptable tolerance of 1.2% for temperature and 2.4% for humidity. Relays have been implemented to control the direction and speed of the fans, ensuring optimal conditions within the greenhouse. After validating the board through several tests and calibrations, a commercial PCB version was produced using open source EasyEDA software for the design. To enhance data dissemination and contribute further, a WiFi module with a protocol for communication will be added, introducing a smart agricultural greenhouse.

Université des Sciences et de la Technologie d'Oran Mohamed Boudiaf (DZ)
Openalex Percentile: Top 20%
Smart Agriculture and AI
0.60
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