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IoT-Based Rainfall Monitoring System for Chili Farming Land

Authors

  • Rahmadani Putri Politeknik Negeri Padang, Indonesia
  • Ratna Dewi Politeknik Negeri Padang, Indonesia
  • Silfia Rifka Politeknik Negeri Padang, Indonesia
  • Sri Nita Politeknik Negeri Padang, Indonesia
  • Andi Ahmad Dahlan Politeknik Negeri Padang, Indonesia

DOI:

10.47709/brilliance.v3i2.3649

Keywords:

Internet of Things, smartphone, Weather monitoring, Chili pepper farming, Weather station application

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Abstract

This research focuses on the design and implementation of a rainfall monitoring system for chili pepper farms using Internet of Things (IoT) technology. The rainfall monitoring system consists of a transmitter system, a receiver system, the Thingspeak platform as a database, and a weather station application that can be accessed via a mobile device. The weather station application is built using the MIT App Inventor platform. In the testing phase, the system successfully collected data from two sensors used, namely the rainfall intensity sensor and the raindrop sensor. The test results showed that the data obtained from the rainfall intensity sensor was 0.25 inches and the raindrop sensor was 1. This result shows that there was no rain during the test. This rain intensity and raindrop data can provide farmers with an overview of the weather conditions in the chili pepper farm. So, with this rainfall monitoring system, farmers can monitor the condition of their agricultural land in real-time. The collected data can help farmers to care for chili pepper plants more effectively and adapt to environmental changes. In addition, this system is expected to increase the productivity of chili pepper farming because it uses a more precise and responsive approach to changes in environmental conditions on the chili pepper farm.

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ARTICLE Published HISTORY

Submitted Date: 2024-02-26
Accepted Date: 2024-03-01
Published Date: 2024-03-08

How to Cite

Putri, R., Dewi, R., Rifka, S., Nita, S., & Dahlan, A. A. (2024). IoT-Based Rainfall Monitoring System for Chili Farming Land. Brilliance: Research of Artificial Intelligence, 3(2), 510-519. https://doi.org/10.47709/brilliance.v3i2.3649

Issue

Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023

Section

Articles

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Copyright (c) 2023 Rahmadani Putri, Ratna Dewi, Silfia Rifka, Sri Nita, Andi Ahmad Dahlan

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