Development of Irrigation Monitoring and Control Systems to Support the Implementation of the System of Rice Intensification (SRI)

DOI

10.2991/absr.k.220305.022How to use a DOI?

Keywords

System of Rice Intensification (SRI); precision agriculture; fuzzy logic

Abstract

Indonesia is a tropical country with high average annual rainfall. The occurrence of unpredictable world climate changes makes it difficult to determine the planting schedule. Farmers often experience crop failure due to a lack of water during the dry season. To overcome these problems, it is necessary to apply the precision farming approach to maximize output with minimal input through technology. SRI (System of Rice Intensification) is one of the innovations in rice cultivation that approaches the concept of precision agriculture. SRI can increase rice production and also save water use. However, SRI irrigation still uses intermittent irrigation based on human intuition and is done manually. Therefore, it is necessary to develop an irrigation monitoring and control system for SRI based on environmental conditions of growth represented by reference Evapotranspiration (ETo) and soil moisture content. This study aims to develop a monitoring and control system for SRI irrigation based on ETo and soil moisture content. To accommodate ETo and soil moisture content, a model using fuzzy logic was developed. This system has a solar radiation sensor, temperature sensor, soil moisture sensor, proximity sensor, Arduino mega 2560, pump, chamber, and drum. The working stages of the system begin with the reading of environmental conditions by the sensor. Furthermore, the reading results will be processed by fuzzy logic as irrigation decision-making. The data obtained from the monitoring of Evapotranspiration, soil moisture content, water level are used to present the growing environmental conditions. Water use efficiency data is used to compare the performance of the SRI system using fuzzy and non-fuzzy logic. The results of irrigation efficiency show that the SRI system using fuzzy can save water up to 52.08% compared to SRI without fuzzy.

Copyright

© 2022 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Rido Saputra
AU  - Andri Prima Nugroho
AU  - Murtiningrum
AU  - Sigit Supadmo Arif
PY  - 2022
DA  - 2022/03/10
TI  - Development of Irrigation Monitoring and Control Systems to Support the Implementation of the System of Rice Intensification (SRI)
BT  - Proceedings of the 2nd International Conference on Smart and Innovative Agriculture (ICoSIA 2021)
PB  - Atlantis Press
SP  - 150
EP  - 157
SN  - 2468-5747
UR  - https://doi.org/10.2991/absr.k.220305.022
DO  - 10.2991/absr.k.220305.022
ID  - Saputra2022
ER  -