Hyperspectral Sensing for Soil Health

Kim Fleming; Amy Gardner; Penelope Nagel; Yuxin Miao; Katsutoshi Mizuta

doi:10.1109/sustech57309.2023.10129629

Hyperspectral Sensing for Soil Health

Kim Fleming, Amy Gardner, Penelope Nagel, Yuxin Miao, Katsutoshi Mizuta

Soil, Water, and Climate

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

Soil nutrient mapping has been implemented in agriculture for the last 40 years. Ongoing economic pressures in agriculture to increase crop yields while sustaining farmer profitability demands in-depth knowledge of soil nutrients. Spatial and temporal variability of yield-limiting factors have been recognized for a long time, and, with such information, farmers have technologies to manage their fields site-specific. However, farmers still tend to manage their fields uniformly because it takes cost, labor, and money to assess and monitor soil health conditions by traditional lab-based methods. We have used a rapidly emerging hyperspectral sensing technology to assess plant-available nutrient content in soil, especially nitrogen, for the use of optimizing in-season nitrogen management.

Original language	English (US)
Title of host publication	2023 IEEE Conference on Technologies for Sustainability, SusTech 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-5
Number of pages	5
ISBN (Electronic)	9798350345483
DOIs	https://doi.org/10.1109/sustech57309.2023.10129629
State	Published - 2023
Event	2023 IEEE Conference on Technologies for Sustainability, SusTech 2023 - Portland, United States Duration: Apr 19 2023 → Apr 22 2023

Publication series

Name	2023 IEEE Conference on Technologies for Sustainability, SusTech 2023

Conference

Conference	2023 IEEE Conference on Technologies for Sustainability, SusTech 2023
Country/Territory	United States
City	Portland
Period	4/19/23 → 4/22/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

precision agriculture
Proximal spectroscopic reference
spatial data density

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Publisher link

10.1109/sustech57309.2023.10129629

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Fleming, K., Gardner, A., Nagel, P., Miao, Y., & Mizuta, K. (2023). Hyperspectral Sensing for Soil Health. In 2023 IEEE Conference on Technologies for Sustainability, SusTech 2023 (pp. 1-5). (2023 IEEE Conference on Technologies for Sustainability, SusTech 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/sustech57309.2023.10129629

Hyperspectral Sensing for Soil Health. / Fleming, Kim; Gardner, Amy; Nagel, Penelope et al.
2023 IEEE Conference on Technologies for Sustainability, SusTech 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 1-5 (2023 IEEE Conference on Technologies for Sustainability, SusTech 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Fleming, K, Gardner, A, Nagel, P, Miao, Y & Mizuta, K 2023, Hyperspectral Sensing for Soil Health. in 2023 IEEE Conference on Technologies for Sustainability, SusTech 2023. 2023 IEEE Conference on Technologies for Sustainability, SusTech 2023, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 2023 IEEE Conference on Technologies for Sustainability, SusTech 2023, Portland, United States, 4/19/23. https://doi.org/10.1109/sustech57309.2023.10129629

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AB - Soil nutrient mapping has been implemented in agriculture for the last 40 years. Ongoing economic pressures in agriculture to increase crop yields while sustaining farmer profitability demands in-depth knowledge of soil nutrients. Spatial and temporal variability of yield-limiting factors have been recognized for a long time, and, with such information, farmers have technologies to manage their fields site-specific. However, farmers still tend to manage their fields uniformly because it takes cost, labor, and money to assess and monitor soil health conditions by traditional lab-based methods. We have used a rapidly emerging hyperspectral sensing technology to assess plant-available nutrient content in soil, especially nitrogen, for the use of optimizing in-season nitrogen management.

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Hyperspectral Sensing for Soil Health

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Publisher link

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