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24. WSN-Driven Advances in Soil Moisture Estimation: A Machine Learning Approach.

Author

Singh, Tinku, Kundroo, Majid, and Kim, Taehong

Subjects
SOIL moisture, MACHINE learning, WIRELESS sensor networks, FARM management, IRRIGATION management
Abstract

Soil moisture estimation is crucial for agricultural productivity and environmental management. This study explores the integration of Wireless Sensor Networks (WSNs) with machine learning (ML) and deep learning (DL) techniques to optimize soil moisture estimation. By combining data from WSN nodes with satellite and climate data, this research aims to enhance the accuracy and resolution of soil moisture estimation, enabling more effective agricultural planning, irrigation management, and environmental monitoring. Five ML models, including linear regression, support vector machines, decision trees, random forests, and long short-term memory networks (LSTM), are evaluated and compared using real-world data from multiple geographical regions, which includes a dataset from NASA's SMAP project, supplemented by climate data, which employs both active and passive sensors for data collection. The outcomes demonstrate that the LSTM model consistently outperforms other ML algorithms across various evaluation metrics, highlighting the effectiveness of WSN-driven approaches to soil moisture estimation. The study contributes to the advancement of soil moisture monitoring technologies, offering insights into the potential of WSNs combined with ML and DL for sustainable agriculture and environmental management practices. [ABSTRACT FROM AUTHOR]

Published
2024
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44. Target Classification in Sparse Sampling Acoustic Sensor Networks Using IDDC Algorithm

Author

Kim, Youngsoo, Kim, Daeyoung, Kim, Taehong, Sung, Jongwoo, Yoo, Seongeun, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Denko, Mieso K., editor, Shih, Chi-sheng, editor, Li, Kuan-Ching, editor, Tsao, Shiao-Li, editor, Zeng, Qing-An, editor, Park, Soo Hyun, editor, Ko, Young-Bae, editor, Hung, Shih-Hao, editor, and Park, Jong Hyuk, editor

Published
2007
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45. Maximize the Coverage Lifetime of Sensor Networks

Author

Pham, Minh-Long, Kim, Daeyoung, Kim, Taehong, Yoo, Seong-eun, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Zhou, Xiaobo, editor, Sokolsky, Oleg, editor, Yan, Lu, editor, Jung, Eun-Sun, editor, Shao, Zili, editor, Mu, Yi, editor, Lee, Dong Chun, editor, Kim, Dae Young, editor, Jeong, Young-Sik, editor, and Xu, Cheng-Zhong, editor

Published
2006
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