A Smart, Sensible Agriculture System Using the Exponential Moving Average Model
Smart agriculture systems with combinations of advanced technologies are used in an attempt to increase the competence of certain farming activities and the standard of living for farm employees by reducing significant labor and tedious tasks. Internet-of-things-based sensors are capable of providin...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-03-01
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| Series: | Symmetry |
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| Online Access: | https://www.mdpi.com/2073-8994/12/3/457 |
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| author | Tai-hoon Kim Virendra Singh Solanki Hardik J. Baraiya Anirban Mitra Hirav Shah Sudipta Roy |
| author_facet | Tai-hoon Kim Virendra Singh Solanki Hardik J. Baraiya Anirban Mitra Hirav Shah Sudipta Roy |
| author_sort | Tai-hoon Kim |
| collection | DOAJ |
| description | Smart agriculture systems with combinations of advanced technologies are used in an attempt to increase the competence of certain farming activities and the standard of living for farm employees by reducing significant labor and tedious tasks. Internet-of-things-based sensors are capable of providing such information about smart agriculture and then acting upon predictions using data analysis. The proposed methodology works alongside a cloud-based server and a mobile-based device (ideally an Android/iOS device) to assist the user in regulating the standing of the plant as monitored by a mix of software packages and hardware devices. Our system detects changes in the moisture, temperature, and light intensity conditions in and around the plant and performs a learning-based call to supply necessary irrigation and illumination to plants. It permits the user to update, manage, and monitor using wireless sensing element networks. The sensors measure the aforementioned parameters and store the data within the cloud, which users can access at any time from anywhere. Farmers will have access to the most up-to-date knowledge so that they can act accordingly and make modifications as needed. This smart planting has become a core tool associated with cost-effective technology in agricultural modernization technologies. The proposed smart modern agriculture tool can be used to monitor climatic factors such as temperature, moisture, and virtually all environmental parameters relevant to the growth of plants. |
| first_indexed | 2024-04-11T22:14:48Z |
| format | Article |
| id | doaj.art-7e6f1844023f4a9ca80a0b59cd5cfaf4 |
| institution | Directory Open Access Journal |
| issn | 2073-8994 |
| language | English |
| last_indexed | 2024-04-11T22:14:48Z |
| publishDate | 2020-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Symmetry |
| spelling | doaj.art-7e6f1844023f4a9ca80a0b59cd5cfaf42022-12-22T04:00:27ZengMDPI AGSymmetry2073-89942020-03-0112345710.3390/sym12030457sym12030457A Smart, Sensible Agriculture System Using the Exponential Moving Average ModelTai-hoon Kim0Virendra Singh Solanki1Hardik J. Baraiya2Anirban Mitra3Hirav Shah4Sudipta Roy5School of Economics and Management, Beijing Jiaotong University, Beijing 100044, ChinaDepartment of Computer Science and Engineering, Ganpat University, Mehsana-Gozaria Highway, Mehsana 384012, Gujarat, IndiaDepartment of Computer Science and Engineering, Ganpat University, Mehsana-Gozaria Highway, Mehsana 384012, Gujarat, IndiaDepartment of Computer Science and Engineering, Calcutta University Technology Campus, JD-2, Sector-III, Salt Lake, Kolkata 700098, IndiaDepartment of Computer Science and Engineering, Ganpat University, Mehsana-Gozaria Highway, Mehsana 384012, Gujarat, IndiaPRT2L, Washington University in St. Louis, Saint Louis, MO 63110, USASmart agriculture systems with combinations of advanced technologies are used in an attempt to increase the competence of certain farming activities and the standard of living for farm employees by reducing significant labor and tedious tasks. Internet-of-things-based sensors are capable of providing such information about smart agriculture and then acting upon predictions using data analysis. The proposed methodology works alongside a cloud-based server and a mobile-based device (ideally an Android/iOS device) to assist the user in regulating the standing of the plant as monitored by a mix of software packages and hardware devices. Our system detects changes in the moisture, temperature, and light intensity conditions in and around the plant and performs a learning-based call to supply necessary irrigation and illumination to plants. It permits the user to update, manage, and monitor using wireless sensing element networks. The sensors measure the aforementioned parameters and store the data within the cloud, which users can access at any time from anywhere. Farmers will have access to the most up-to-date knowledge so that they can act accordingly and make modifications as needed. This smart planting has become a core tool associated with cost-effective technology in agricultural modernization technologies. The proposed smart modern agriculture tool can be used to monitor climatic factors such as temperature, moisture, and virtually all environmental parameters relevant to the growth of plants.https://www.mdpi.com/2073-8994/12/3/457agricultural modernizationinternet of thingscloud infrastructuresmobile applicationexponential moving averagedata analyticswireless sensor networks |
| spellingShingle | Tai-hoon Kim Virendra Singh Solanki Hardik J. Baraiya Anirban Mitra Hirav Shah Sudipta Roy A Smart, Sensible Agriculture System Using the Exponential Moving Average Model Symmetry agricultural modernization internet of things cloud infrastructures mobile application exponential moving average data analytics wireless sensor networks |
| title | A Smart, Sensible Agriculture System Using the Exponential Moving Average Model |
| title_full | A Smart, Sensible Agriculture System Using the Exponential Moving Average Model |
| title_fullStr | A Smart, Sensible Agriculture System Using the Exponential Moving Average Model |
| title_full_unstemmed | A Smart, Sensible Agriculture System Using the Exponential Moving Average Model |
| title_short | A Smart, Sensible Agriculture System Using the Exponential Moving Average Model |
| title_sort | smart sensible agriculture system using the exponential moving average model |
| topic | agricultural modernization internet of things cloud infrastructures mobile application exponential moving average data analytics wireless sensor networks |
| url | https://www.mdpi.com/2073-8994/12/3/457 |
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