Solar power IoT based smart agriculture system using NodeMCU ESP32
Recent global climatic changes have led to a severe worldwide food shortage, prompting households to address this concern by cultivating sufficient vegetables and crops, as emphasized by the Food and Agriculture Organization of the United Nations (FAO). To tackle the escalating demand for food and e...
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| Format: | Conference or Workshop Item |
| Language: | en |
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2024
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| Online Access: | http://eprints.uthm.edu.my/12293/1/P17210_60d41b91d3b897826eefc9f1233a1c19.pdf%2010.pdf http://eprints.uthm.edu.my/12293/ https://doi.org/10.30880/peat.2024.05.01.010 |
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| author | Mohd Khalid, Nur Khairiah Jamal, Norezmi Mustafa, Farahiyah Zambri, Nor Aira |
| author_facet | Mohd Khalid, Nur Khairiah Jamal, Norezmi Mustafa, Farahiyah Zambri, Nor Aira |
| author_sort | Mohd Khalid, Nur Khairiah |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Recent global climatic changes have led to a severe worldwide food shortage, prompting households to address this concern by cultivating sufficient vegetables and crops, as emphasized by the Food and Agriculture Organization of the United Nations (FAO). To tackle the escalating demand for food and energy amid climate change and limited arable land, a proposed controller-based IoT system for greenhouses integrates a solar-based power solution. This system aims to boost efficiency, cut costs, and ensure optimal crop growth irrespective of weather conditions. Utilizing NodeMCU ESP32, data from the DHT11 sensor and soil moisture sensor detect humidity, temperature, and soil moisture, transmitting the information to a Blynk application accessible online. A high-resolution dataset collected at 15-minute intervals provides crucial insights into greenhouse atmospheric dynamics. The solar-powered system, exhibiting resilience, offers valuable optimization insights. Comparison with Weather Underground data highlights a strong correlation in temperature and humidity, affirming the system's reliability despite limitations in soil moisture data. Future enhancements are suggested to address data gaps and optimize system performance. In conclusion, the integration of solar energy and IoT-driven smart agriculture with NodeMCU ESP32 holds promise for revolutionizing farming, reducing carbon emissions, and enhancing crop management through real-time data access and automated control |
| format | Conference or Workshop Item |
| id | my.uthm.eprints-12293 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2024 |
| record_format | eprints |
| spelling | my.uthm.eprints-122932025-05-27T03:15:24Z http://eprints.uthm.edu.my/12293/ Solar power IoT based smart agriculture system using NodeMCU ESP32 Mohd Khalid, Nur Khairiah Jamal, Norezmi Mustafa, Farahiyah Zambri, Nor Aira S Agriculture (General) Recent global climatic changes have led to a severe worldwide food shortage, prompting households to address this concern by cultivating sufficient vegetables and crops, as emphasized by the Food and Agriculture Organization of the United Nations (FAO). To tackle the escalating demand for food and energy amid climate change and limited arable land, a proposed controller-based IoT system for greenhouses integrates a solar-based power solution. This system aims to boost efficiency, cut costs, and ensure optimal crop growth irrespective of weather conditions. Utilizing NodeMCU ESP32, data from the DHT11 sensor and soil moisture sensor detect humidity, temperature, and soil moisture, transmitting the information to a Blynk application accessible online. A high-resolution dataset collected at 15-minute intervals provides crucial insights into greenhouse atmospheric dynamics. The solar-powered system, exhibiting resilience, offers valuable optimization insights. Comparison with Weather Underground data highlights a strong correlation in temperature and humidity, affirming the system's reliability despite limitations in soil moisture data. Future enhancements are suggested to address data gaps and optimize system performance. In conclusion, the integration of solar energy and IoT-driven smart agriculture with NodeMCU ESP32 holds promise for revolutionizing farming, reducing carbon emissions, and enhancing crop management through real-time data access and automated control 2024-06-15 Conference or Workshop Item PeerReviewed text en http://eprints.uthm.edu.my/12293/1/P17210_60d41b91d3b897826eefc9f1233a1c19.pdf%2010.pdf Mohd Khalid, Nur Khairiah and Jamal, Norezmi and Mustafa, Farahiyah and Zambri, Nor Aira (2024) Solar power IoT based smart agriculture system using NodeMCU ESP32. In: PROGRESS IN ENGINEERING APPLICATION AND TECHNOLOGY. https://doi.org/10.30880/peat.2024.05.01.010 |
| spellingShingle | S Agriculture (General) Mohd Khalid, Nur Khairiah Jamal, Norezmi Mustafa, Farahiyah Zambri, Nor Aira Solar power IoT based smart agriculture system using NodeMCU ESP32 |
| title | Solar power IoT based smart agriculture system using NodeMCU ESP32 |
| title_full | Solar power IoT based smart agriculture system using NodeMCU ESP32 |
| title_fullStr | Solar power IoT based smart agriculture system using NodeMCU ESP32 |
| title_full_unstemmed | Solar power IoT based smart agriculture system using NodeMCU ESP32 |
| title_short | Solar power IoT based smart agriculture system using NodeMCU ESP32 |
| title_sort | solar power iot based smart agriculture system using nodemcu esp32 |
| topic | S Agriculture (General) |
| url | http://eprints.uthm.edu.my/12293/1/P17210_60d41b91d3b897826eefc9f1233a1c19.pdf%2010.pdf http://eprints.uthm.edu.my/12293/ https://doi.org/10.30880/peat.2024.05.01.010 |
| url_provider | http://eprints.uthm.edu.my/ |