Automatic Mist Sprayer for Oyster Mushroom Cultivation Using Thingspeak IoT Platform and R Analytical Tool Article Swipe
Julianti Habibuddin
,
Taufik Muchtar
,
Muhammad Fadli Azis
,
Muh. Rivaldi Sasmita
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.46574/motivection.v5i2.241
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.46574/motivection.v5i2.241
In mushroom greenhouses at IKM Simbang Maros, watering is currently done manually using a hose and scheduled twice daily, without considering the optimal temperature and humidity for mushroom growth. This study aims to develop an automatic watering system for oyster mushroom cultivation using a DHT22 sensor to monitor temperature and humidity. The system is equipped with a NodeMCU ESP32 microcontroller and a mist sprayer, triggered by a relay to activate the water pump. An IoT platform using Thingspeak allows farmers to monitor temperature and humidity data in real-time on their smartphones. In a real case study, the device effectively maintained optimal humidity levels for mushroom growth, with the pump activating when humidity was below 85%. Data from 10 observations showed that the pump was active for 7 times. Data processing using R Studio showed the system's ability to stabilize humidity levels. The proposed system could help farmers optimize mushroom growth and reduce the labor required for manual watering.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.46574/motivection.v5i2.241
- http://motivection.imeirs.org/index.php/motivection/article/download/241/130
- OA Status
- diamond
- References
- 15
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4377157677
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4377157677Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.46574/motivection.v5i2.241Digital Object Identifier
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Automatic Mist Sprayer for Oyster Mushroom Cultivation Using Thingspeak IoT Platform and R Analytical ToolWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
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2023Year of publication
- Publication date
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2023-05-19Full publication date if available
- Authors
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Julianti Habibuddin, Taufik Muchtar, Muhammad Fadli Azis, Muh. Rivaldi SasmitaList of authors in order
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https://doi.org/10.46574/motivection.v5i2.241Publisher landing page
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https://motivection.imeirs.org/index.php/motivection/article/download/241/130Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://motivection.imeirs.org/index.php/motivection/article/download/241/130Direct OA link when available
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Sprayer, Mist, Mushroom, Humidity, Microcontroller, Environmental science, Oyster, Agricultural engineering, Computer science, Real-time computing, Computer hardware, Engineering, Meteorology, Botany, Fishery, Biology, Mechanical engineering, PhysicsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.NodeMCU | 57 |
| abstract_inverted_index.Simbang | 5 |
| abstract_inverted_index.ability | 136 |
| abstract_inverted_index.develop | 33 |
| abstract_inverted_index.farmers | 79, 146 |
| abstract_inverted_index.growth, | 105 |
| abstract_inverted_index.growth. | 28 |
| abstract_inverted_index.levels. | 140 |
| abstract_inverted_index.monitor | 47, 81 |
| abstract_inverted_index.optimal | 22, 100 |
| abstract_inverted_index.without | 19 |
| abstract_inverted_index.activate | 69 |
| abstract_inverted_index.equipped | 54 |
| abstract_inverted_index.humidity | 25, 84, 101, 111, 139 |
| abstract_inverted_index.manually | 11 |
| abstract_inverted_index.mushroom | 1, 27, 40, 104, 148 |
| abstract_inverted_index.optimize | 147 |
| abstract_inverted_index.platform | 75 |
| abstract_inverted_index.proposed | 142 |
| abstract_inverted_index.required | 154 |
| abstract_inverted_index.sprayer, | 63 |
| abstract_inverted_index.system's | 135 |
| abstract_inverted_index.watering | 7, 36 |
| abstract_inverted_index.automatic | 35 |
| abstract_inverted_index.currently | 9 |
| abstract_inverted_index.humidity. | 50 |
| abstract_inverted_index.real-time | 87 |
| abstract_inverted_index.scheduled | 16 |
| abstract_inverted_index.stabilize | 138 |
| abstract_inverted_index.triggered | 64 |
| abstract_inverted_index.watering. | 157 |
| abstract_inverted_index.Thingspeak | 77 |
| abstract_inverted_index.activating | 109 |
| abstract_inverted_index.maintained | 99 |
| abstract_inverted_index.processing | 129 |
| abstract_inverted_index.considering | 20 |
| abstract_inverted_index.cultivation | 41 |
| abstract_inverted_index.effectively | 98 |
| abstract_inverted_index.greenhouses | 2 |
| abstract_inverted_index.temperature | 23, 48, 82 |
| abstract_inverted_index.observations | 118 |
| abstract_inverted_index.smartphones. | 90 |
| abstract_inverted_index.microcontroller | 59 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.08369884 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |