Efficient data sensing and monitoring model for areca nut precision farming with wireless sensor network
Arecanut plays a prominent role in economic life in India; it produces 'betel nut' which is primarily used for the masticatory purpose. Nutrient's cycle and environmental factors impact the forming, these impacts can be minimized through sensing technology i.e., wireless sensor networ...
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| Main Authors: | , , |
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2022-03-01.
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| Online Access: | Get fulltext |
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| LEADER | 02855 am a22003133u 4500 | ||
|---|---|---|---|
| 001 | ijeecs25679_16103 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Chandrashekarappa, Niranjan Murthy |e author |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a Mysore Bhagwan, Sanjay Pande |e author |
| 700 | 1 | 0 | |a Nagur, Kotreshi Shivabasappa |e author |
| 245 | 0 | 0 | |a Efficient data sensing and monitoring model for areca nut precision farming with wireless sensor network |
| 260 | |b Institute of Advanced Engineering and Science, |c 2022-03-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/25679 | ||
| 520 | |a Arecanut plays a prominent role in economic life in India; it produces 'betel nut' which is primarily used for the masticatory purpose. Nutrient's cycle and environmental factors impact the forming, these impacts can be minimized through sensing technology i.e., wireless sensor network incorporated with internet of things (IoT). Designing of sensing technologies is considered as primary steps in achieving the arecanut production through precision agriculture; This research focuses on designing and developing an efficient monitoring mechanism named efficient data sensing and monitoring (EDSM), the proposed model will minimize the energy, reduce the false alarm rate, and enhance the detection accuracy. EDSM comprises four-step optimal sensing mechanism; first, formulate the energy consumption, further in this step the sensor device information and all the preliminary details are analyzed. Second step, data are sensed optimally, third step includes monitored and alert is generated the fourth step includes the optimization of packet size. EDSM is evaluated considering the different parameters like energy consumption and alert generation for temperature. Performance comparison is carried out with the existing model considering parameters like fault detection, false alarm detection, event detection, and event false alarm rate. Comparative analysis shows proposed methodology simply outperforms the existing model with significant improvisation. | ||
| 540 | |a Copyright (c) 2022 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc/4.0 | ||
| 546 | |a eng | ||
| 690 | |||
| 690 | |a Efficient data sensing and monitoring; Energy consumption; NPK; Temperarture; Wireless sensor networks | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 25, No 3: March 2022; 1549-1562 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v25.i3 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/25679/16103 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/25679/16103 |z Get fulltext |