Fuzzy Logic-Based Water Optimization for IoT-Driven Solar Irrigation Using Soil-Air Humidity Differential in Chili Cultivation

DOI

10.2991/978-94-6463-926-1_55How to use a DOI?

Keywords

Precision irrigation; IoT; fuzzy logic; soil-air humidity differential; solar-powered system; chili cultivation; sustainable agriculture

Abstract

Efficient irrigation is essential for sustainable chili cultivation, particularly in open-field agricultural areas in tropical climates with limited access to electricity and water. This study presents the development and field evaluation of an IoT-based solar-powered irrigation system that dynamically schedules watering based on the humidity differential between soil and air (ΔH). The system incorporates a capacitive soil moisture sensor, a DHT22 temperature–humidity sensor, and a NodeMCU microcontroller implementing a Mamdani fuzzy logic model with three inputs (soil humidity, air humidity, and ΔH) to determine adaptive watering durations from 0 to 10 s. Field trials were conducted over 14 days in Ketapang, West Kalimantan, Indonesia, on an open-field chili plot with a sample size of 20 plants under tropical conditions. The system maintained soil moisture within the optimal range of 60–75% and reduced water usage by an average of 31% compared to fixed-schedule irrigation. Performance, monitored via the Blynk IoT platform, remained stable under solar-only operation. Beyond water efficiency, the approach supports pathogen suppression through humidity control. The integration of fuzzy logic within a low-power IoT framework provides a scalable, sustainable precision agriculture solution for off-grid tropical farming, aligning with the Sustainable Development Goals (SDGs) related to food security, clean water access, and responsible resource consumption.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Fachrul Rozie
AU  - Muh Anhar
AU  - S. P. Irianto
PY  - 2025
DA  - 2025/12/31
TI  - Fuzzy Logic-Based Water Optimization for IoT-Driven Solar Irrigation Using Soil-Air Humidity Differential in Chili Cultivation
BT  - Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2025 (iCAST-ES 2025)
PB  - Atlantis Press
SP  - 490
EP  - 497
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-926-1_55
DO  - 10.2991/978-94-6463-926-1_55
ID  - Rozie2025
ER  -