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On Burial Depth of Underground Antenna in Soil Horizons for Decision Agriculture

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Book cover Internet of Things - ICIOT 2020 (ICIOT 2020)

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Abstract

Decision agriculture is the practice of accurately capturing the changing parameters of the soil including water infiltration and retention, nutrients supply, acidity, and other time changing phenomena by using the modern technologies. Using decision agriculture, fields can be irrigated more efficiently hence conserving water resources and increasing productivity. The Internet of Underground Things (IOUT) is being used to monitor the soil for smart irrigation. Moreover, the communication in wireless underground sensor networks is affected by soil characteristics such as soil texture, volumetric water content (VWC) and bulk density. These soil characteristics vary with soil type and soil horizons within a field. In this paper, we have investigated the effects of these characteristics by considering Holdrege soil series and homogeneous soil. It is shown that the consideration of soil characteristics of different soil horizons leads to 6% improved communication in wireless underground communications for smart agricultural practices.

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Authors and Affiliations

  1. Department of Computer and Information Technology, Purdue University, West Lafayette, IN, 47906, USA

    Abdul Salam & Usman Raza

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  1. Abdul Salam
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  2. Usman Raza
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Correspondence to Abdul Salam .

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Editors and Affiliations

  1. North China University of Technology, Beijing, China

    Wei Song

  2. Louisiana State University, Baton Rouge, LA, USA

    Kisung Lee

  3. Georgia State University, Atlanta, GA, USA

    Zhisheng Yan

  4. Kingdee International Software Group Co., Ltd., Shenzhen, China

    Liang-Jie Zhang

  5. Kingdee International Software Group Co., Ltd., Hong Kong, China

    Huan Chen

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Salam, A., Raza, U. (2020). On Burial Depth of Underground Antenna in Soil Horizons for Decision Agriculture. In: Song, W., Lee, K., Yan, Z., Zhang, LJ., Chen, H. (eds) Internet of Things - ICIOT 2020. ICIOT 2020. Lecture Notes in Computer Science(), vol 12405. Springer, Cham. https://doi.org/10.1007/978-3-030-59615-6_2

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  • DOI: https://doi.org/10.1007/978-3-030-59615-6_2

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