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Main Authors: Binayao, Regie Porras, Mantua, Paul Vincent Lagapa, Namocatcat, Holy Rose May Pardillo, Seroy, Jade Kachel Klient Bocboc, Sudaria, Phoebe Ruth Alithea Bacotot, Gumonan, Kenn Migan Vincent Casicas, Orozco, Shiela Mae Malbas
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2402.07917
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author Binayao, Regie Porras
Mantua, Paul Vincent Lagapa
Namocatcat, Holy Rose May Pardillo
Seroy, Jade Kachel Klient Bocboc
Sudaria, Phoebe Ruth Alithea Bacotot
Gumonan, Kenn Migan Vincent Casicas
Orozco, Shiela Mae Malbas
author_facet Binayao, Regie Porras
Mantua, Paul Vincent Lagapa
Namocatcat, Holy Rose May Pardillo
Seroy, Jade Kachel Klient Bocboc
Sudaria, Phoebe Ruth Alithea Bacotot
Gumonan, Kenn Migan Vincent Casicas
Orozco, Shiela Mae Malbas
contents This study intends to build smart water irrigation for rice farming using IoT and microcontroller devices with solar panel support. The system demonstrates the capabilities of automated irrigation by reducing physical labor through smart monitoring of the temperature, soil moisture, and humidity using multiple sensors. This study uses an agile methodology as it is suitable for reiterative operation for the development of the prototype. The mean result for the interpretation of data gathered for the systems' adaptability and flexibility is 4.32. The researchers were able to develop smart water irrigation for rice farming using IoT and microcontroller devices with solar panel support and the respondents also agreed that Smart water irrigation for rice farming using IoT and microcontroller devices with solar panel support is practical and valuable. A decision support system is recommended that can analyze data collected from IoT sensors and provide further recommendations. Based on the results, it is also suggested that future researchers use drip irrigation, instead of flood irrigation. Smart water irrigation has the potential to revolutionize agriculture, enhance environmental sustainability, and address pressing global challenges related to water resources and food security. These implications highlight the importance of continued research and innovation in this field.
format Preprint
id arxiv_https___arxiv_org_abs_2402_07917
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Smart Water Irrigation for Rice Farming through the Internet of Things
Binayao, Regie Porras
Mantua, Paul Vincent Lagapa
Namocatcat, Holy Rose May Pardillo
Seroy, Jade Kachel Klient Bocboc
Sudaria, Phoebe Ruth Alithea Bacotot
Gumonan, Kenn Migan Vincent Casicas
Orozco, Shiela Mae Malbas
Human-Computer Interaction
C.3
This study intends to build smart water irrigation for rice farming using IoT and microcontroller devices with solar panel support. The system demonstrates the capabilities of automated irrigation by reducing physical labor through smart monitoring of the temperature, soil moisture, and humidity using multiple sensors. This study uses an agile methodology as it is suitable for reiterative operation for the development of the prototype. The mean result for the interpretation of data gathered for the systems' adaptability and flexibility is 4.32. The researchers were able to develop smart water irrigation for rice farming using IoT and microcontroller devices with solar panel support and the respondents also agreed that Smart water irrigation for rice farming using IoT and microcontroller devices with solar panel support is practical and valuable. A decision support system is recommended that can analyze data collected from IoT sensors and provide further recommendations. Based on the results, it is also suggested that future researchers use drip irrigation, instead of flood irrigation. Smart water irrigation has the potential to revolutionize agriculture, enhance environmental sustainability, and address pressing global challenges related to water resources and food security. These implications highlight the importance of continued research and innovation in this field.
title Smart Water Irrigation for Rice Farming through the Internet of Things
topic Human-Computer Interaction
C.3
url https://arxiv.org/abs/2402.07917