Optimal Deployment of WSN Nodes for Crop Monitoring Based on Geostatistical Interpolations

Edgar Andres Gutierrez; Ivan Fernando Mondragon; Julian D. Colorado; Diego Mendez Ch

doi:10.3390/plants11131636

Optimal Deployment of WSN Nodes for Crop Monitoring Based on Geostatistical Interpolations

Edgar Andres Gutierrez, Ivan Fernando Mondragon, Julian D. Colorado, Diego Mendez Ch

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

This paper proposes an integrated method for the estimation of soil moisture in potato crops that uses a low-cost wireless sensor network (WSN). Soil moisture estimation maps were created by applying the Kriging technique over a WSN composed of 11 × 11 nodes. Our goal is to estimate the soil moisture of the crop with a small-scale WSN. Using a perfect mesh approach on a potato crop, experimental results demonstrated that 25 WSN nodes were optimal and sufficient for soil moisture characterization, achieving estimations errors < 2%. We provide a strategy to select the number of nodes to use in a WSN, to characterize the moisture behavior for spatio-temporal analysis of soil moisture in the crop. Finally, the implementation cost of this strategy is shown, considering the number of nodes and the corresponding margin of error.

Original language	English
Article number	1636
Journal	Plants
Volume	11
Issue number	13
DOIs	https://doi.org/10.3390/plants11131636
State	Published - 01 Jul 2022

Keywords

Kriging interpolation
WSN
potato crops
remote sensing
soil moisture

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10.3390/plants11131636

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title = "Optimal Deployment of WSN Nodes for Crop Monitoring Based on Geostatistical Interpolations",

abstract = "This paper proposes an integrated method for the estimation of soil moisture in potato crops that uses a low-cost wireless sensor network (WSN). Soil moisture estimation maps were created by applying the Kriging technique over a WSN composed of 11 × 11 nodes. Our goal is to estimate the soil moisture of the crop with a small-scale WSN. Using a perfect mesh approach on a potato crop, experimental results demonstrated that 25 WSN nodes were optimal and sufficient for soil moisture characterization, achieving estimations errors < 2%. We provide a strategy to select the number of nodes to use in a WSN, to characterize the moisture behavior for spatio-temporal analysis of soil moisture in the crop. Finally, the implementation cost of this strategy is shown, considering the number of nodes and the corresponding margin of error.",

keywords = "Kriging interpolation, WSN, potato crops, remote sensing, soil moisture",

author = "Gutierrez, {Edgar Andres} and Mondragon, {Ivan Fernando} and Colorado, {Julian D.} and {Mendez Ch}, Diego",

note = "Publisher Copyright: {\textcopyright} 2022 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2022",

month = jul,

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doi = "10.3390/plants11131636",

language = "English",

volume = "11",

journal = "Plants",

issn = "2223-7747",

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TY - JOUR

T1 - Optimal Deployment of WSN Nodes for Crop Monitoring Based on Geostatistical Interpolations

AU - Gutierrez, Edgar Andres

AU - Mondragon, Ivan Fernando

AU - Colorado, Julian D.

AU - Mendez Ch, Diego

PY - 2022/7/1

Y1 - 2022/7/1

N2 - This paper proposes an integrated method for the estimation of soil moisture in potato crops that uses a low-cost wireless sensor network (WSN). Soil moisture estimation maps were created by applying the Kriging technique over a WSN composed of 11 × 11 nodes. Our goal is to estimate the soil moisture of the crop with a small-scale WSN. Using a perfect mesh approach on a potato crop, experimental results demonstrated that 25 WSN nodes were optimal and sufficient for soil moisture characterization, achieving estimations errors < 2%. We provide a strategy to select the number of nodes to use in a WSN, to characterize the moisture behavior for spatio-temporal analysis of soil moisture in the crop. Finally, the implementation cost of this strategy is shown, considering the number of nodes and the corresponding margin of error.

AB - This paper proposes an integrated method for the estimation of soil moisture in potato crops that uses a low-cost wireless sensor network (WSN). Soil moisture estimation maps were created by applying the Kriging technique over a WSN composed of 11 × 11 nodes. Our goal is to estimate the soil moisture of the crop with a small-scale WSN. Using a perfect mesh approach on a potato crop, experimental results demonstrated that 25 WSN nodes were optimal and sufficient for soil moisture characterization, achieving estimations errors < 2%. We provide a strategy to select the number of nodes to use in a WSN, to characterize the moisture behavior for spatio-temporal analysis of soil moisture in the crop. Finally, the implementation cost of this strategy is shown, considering the number of nodes and the corresponding margin of error.

KW - Kriging interpolation

KW - WSN

KW - potato crops

KW - remote sensing

KW - soil moisture

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U2 - 10.3390/plants11131636

DO - 10.3390/plants11131636

M3 - Article

AN - SCOPUS:85132309628

SN - 2223-7747

VL - 11

JO - Plants

JF - Plants

IS - 13

M1 - 1636

ER -

Optimal Deployment of WSN Nodes for Crop Monitoring Based on Geostatistical Interpolations

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