Soil spatial variability and its management with precision agriculture

Humna Khan; Travis J. Esau; Aitazaz A. Farooque; Qamar U. Zaman; Farhat Abbas; Arnold W. Schumann

doi:10.1016/B978-0-443-18953-1.00008-8

Soil spatial variability and its management with precision agriculture

Humna Khan, Travis J. Esau, Aitazaz A. Farooque, Qamar U. Zaman, Farhat Abbas, Arnold W. Schumann

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Citation (Scopus)

Abstract

In this chapter, it has been highlighted that spatial variability exists in the soil properties and crop parameters. Fertilizers, when applied uniformly in the fields without considering the variability, result in wastage of inputs and environmental degradation. Precision agriculture (PA), involving various technologies such as Remote Sensing, Geographical Information system (GIS), and Global Positioning System (GPS), helps in managing the inputs precisely based on soil and crop need. PA estimates the variability present in the crop and field with the help of different techniques and advanced sensors and then employs the results to efficiently fulfill crop needs. This technique helps to enhance the quality of the crop and yield and lower the environmental risk by implementing irrigation water, pesticides, and fertilizers on a needed base, leading to sustainable agriculture.

Original language	English
Title of host publication	Precision Agriculture
Subtitle of host publication	Evolution, Insights and Emerging Trends
Publisher	Elsevier
Pages	19-36
Number of pages	18
ISBN (Electronic)	9780443189531
ISBN (Print)	9780443189548
DOIs	https://doi.org/10.1016/B978-0-443-18953-1.00008-8
Publication status	Published - 1 Jan 2023
Externally published	Yes

Keywords

Geographic information system
Global positioning system
Machine learning
Soil spatial variability

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10.1016/B978-0-443-18953-1.00008-8

Cite this

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AU - Khan, Humna

AU - Esau, Travis J.

AU - Farooque, Aitazaz A.

AU - Zaman, Qamar U.

AU - Abbas, Farhat

AU - Schumann, Arnold W.

PY - 2023/1/1

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AB - In this chapter, it has been highlighted that spatial variability exists in the soil properties and crop parameters. Fertilizers, when applied uniformly in the fields without considering the variability, result in wastage of inputs and environmental degradation. Precision agriculture (PA), involving various technologies such as Remote Sensing, Geographical Information system (GIS), and Global Positioning System (GPS), helps in managing the inputs precisely based on soil and crop need. PA estimates the variability present in the crop and field with the help of different techniques and advanced sensors and then employs the results to efficiently fulfill crop needs. This technique helps to enhance the quality of the crop and yield and lower the environmental risk by implementing irrigation water, pesticides, and fertilizers on a needed base, leading to sustainable agriculture.

KW - Geographic information system

KW - Global positioning system

KW - Machine learning

KW - Soil spatial variability

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SP - 19

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BT - Precision Agriculture

PB - Elsevier

ER -

Soil spatial variability and its management with precision agriculture

Abstract

Keywords

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