Work

Implementation of a Web-Based Master-Slave Architecture for Greenhouse Monitoring Systems in Grape Cultivation

Year: 2024

Type: article

Abstract: The Internet of Things (IoT) technology enables electronic devices to connect to the Internet for real-time data collection and analysis. In greenhouses, IoT is used to monitor soil moisture and environmental conditions to support grape plant care. This study proposes a grape plant monitoring system using a master-slave architecture and the ESP-NOW protocol to reduce reliance on Wi-Fi networks, thus minimizing delay and packet loss. The system leverages direct communication between master and slave nodes. Testing results show an average delay of 1,546.65 ms, jitter of 120.56 ms, and packet loss of only 0.07% from 88,815 data transmissions in one day. Despite variations in packet loss due to power interruptions, the system consistently demonstrates reliable data transmission. Overall, this system proves to be reliable for real-time monitoring in greenhouses, offering stable performance and high data accuracy.

Source: Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI)

DOI: 10.23887/janapati.v13i3.84105

Authors: Hirzen Hasfani, Uray Ristian, Uray Syaziman Kesuma Wijaya Syaziman

Institution: Tanjungpura University

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Industry, innovation and infrastructure, Zero hunger

Open Access status: diamond

OpenAlex ID: W4405166396

FWCI:

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