Impact of Smart Greenhouse Using IoT for Enhanced Quality of Plant Growth
Greenhouses play a crucial role in manipulating environmental conditions for optimal plant growth. While existing greenhouses enhance control over environmental factors, manual controls such as watering and humidity regulation often lead to suboptimal production and increased costs. This study propo...
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| Format: | Article |
| Language: | English |
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Association for Scientific Computing Electronics and Engineering (ASCEE)
2024
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| Online Access: | http://umpir.ump.edu.my/id/eprint/44784/ http://umpir.ump.edu.my/id/eprint/44784/1/Impact%20of%20Smart%20Greenhouse%20Using%20IoT%20for%20Enhanced%20Quality.pdf |
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| author | Munawar, Ali Gunawan, Anak Agung Ngurah Prasetya, Dwi Arman Mohd Zamri, Ibrahim Diyasa, I Gede Susrama Mas |
| author_facet | Munawar, Ali Gunawan, Anak Agung Ngurah Prasetya, Dwi Arman Mohd Zamri, Ibrahim Diyasa, I Gede Susrama Mas |
| author_sort | Munawar, Ali |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Greenhouses play a crucial role in manipulating environmental conditions for optimal plant growth. While existing greenhouses enhance control over environmental factors, manual controls such as watering and humidity regulation often lead to suboptimal production and increased costs. This study proposes the development of a smart greenhouse with an automatic control system using fuzzy logic, specifically fuzzy Sugeno, to regulate watering and lighting based on soil moisture, temperature, and light intensity. The system's architecture involves sensor inputs, microcontroller processing, and the activation of actuators, such as UV lights and water pumps. Fuzzy logic is applied to interpret soil moisture and temperature inputs and determine optimal irrigation durations. The system's functionality is tested and validated through functional testing, Blynk application testing, and fuzzy Sugeno testing. Results indicate the successful implementation of the proposed smart greenhouse system. Functional testing demonstrates accurate sensor readings, including temperature and soil moisture. The Blynk application enables real-time monitoring and control of environmental conditions. Fuzzy Sugeno testing validates the irrigation control system, with an average error rate of 1.3%, affirming the system's alignment with desired specifications. Plant testing in different conditions showcases the effectiveness of the smart greenhouse in supporting plant growth and development. |
| first_indexed | 2025-11-15T03:56:39Z |
| format | Article |
| id | ump-44784 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:56:39Z |
| publishDate | 2024 |
| publisher | Association for Scientific Computing Electronics and Engineering (ASCEE) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-447842025-06-11T08:46:41Z http://umpir.ump.edu.my/id/eprint/44784/ Impact of Smart Greenhouse Using IoT for Enhanced Quality of Plant Growth Munawar, Ali Gunawan, Anak Agung Ngurah Prasetya, Dwi Arman Mohd Zamri, Ibrahim Diyasa, I Gede Susrama Mas S Agriculture (General) SB Plant culture TK Electrical engineering. Electronics Nuclear engineering Greenhouses play a crucial role in manipulating environmental conditions for optimal plant growth. While existing greenhouses enhance control over environmental factors, manual controls such as watering and humidity regulation often lead to suboptimal production and increased costs. This study proposes the development of a smart greenhouse with an automatic control system using fuzzy logic, specifically fuzzy Sugeno, to regulate watering and lighting based on soil moisture, temperature, and light intensity. The system's architecture involves sensor inputs, microcontroller processing, and the activation of actuators, such as UV lights and water pumps. Fuzzy logic is applied to interpret soil moisture and temperature inputs and determine optimal irrigation durations. The system's functionality is tested and validated through functional testing, Blynk application testing, and fuzzy Sugeno testing. Results indicate the successful implementation of the proposed smart greenhouse system. Functional testing demonstrates accurate sensor readings, including temperature and soil moisture. The Blynk application enables real-time monitoring and control of environmental conditions. Fuzzy Sugeno testing validates the irrigation control system, with an average error rate of 1.3%, affirming the system's alignment with desired specifications. Plant testing in different conditions showcases the effectiveness of the smart greenhouse in supporting plant growth and development. Association for Scientific Computing Electronics and Engineering (ASCEE) 2024 Article PeerReviewed pdf en cc_by_sa_4 http://umpir.ump.edu.my/id/eprint/44784/1/Impact%20of%20Smart%20Greenhouse%20Using%20IoT%20for%20Enhanced%20Quality.pdf Munawar, Ali and Gunawan, Anak Agung Ngurah and Prasetya, Dwi Arman and Mohd Zamri, Ibrahim and Diyasa, I Gede Susrama Mas (2024) Impact of Smart Greenhouse Using IoT for Enhanced Quality of Plant Growth. International Journal of Robotics and Control Systems, 4 (3). pp. 1473-1489. ISSN 2775-2658. (Published) https://doi.org/10.31763/ijrcs.v4i3.1277 https://doi.org/10.31763/ijrcs.v4i3.1277 |
| spellingShingle | S Agriculture (General) SB Plant culture TK Electrical engineering. Electronics Nuclear engineering Munawar, Ali Gunawan, Anak Agung Ngurah Prasetya, Dwi Arman Mohd Zamri, Ibrahim Diyasa, I Gede Susrama Mas Impact of Smart Greenhouse Using IoT for Enhanced Quality of Plant Growth |
| title | Impact of Smart Greenhouse Using IoT for Enhanced Quality of Plant Growth |
| title_full | Impact of Smart Greenhouse Using IoT for Enhanced Quality of Plant Growth |
| title_fullStr | Impact of Smart Greenhouse Using IoT for Enhanced Quality of Plant Growth |
| title_full_unstemmed | Impact of Smart Greenhouse Using IoT for Enhanced Quality of Plant Growth |
| title_short | Impact of Smart Greenhouse Using IoT for Enhanced Quality of Plant Growth |
| title_sort | impact of smart greenhouse using iot for enhanced quality of plant growth |
| topic | S Agriculture (General) SB Plant culture TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/44784/ http://umpir.ump.edu.my/id/eprint/44784/ http://umpir.ump.edu.my/id/eprint/44784/ http://umpir.ump.edu.my/id/eprint/44784/1/Impact%20of%20Smart%20Greenhouse%20Using%20IoT%20for%20Enhanced%20Quality.pdf |