Hyperspectral imaging in crop fields: precision agriculture

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

Standard

Hyperspectral imaging in crop fields : precision agriculture. / Caballero, Daniel; Calvini, Rosalba; Amigo, José Manuel.

Hyperspectral Imaging. ed. / José Manuel Amigo. Elsevier, 2020. p. 453-473 (Data Handling in Science and Technology, Vol. 32).

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

Harvard

Caballero, D, Calvini, R & Amigo, JM 2020, Hyperspectral imaging in crop fields: precision agriculture. in JM Amigo (ed.), Hyperspectral Imaging. Elsevier, Data Handling in Science and Technology, vol. 32, pp. 453-473. https://doi.org/10.1016/B978-0-444-63977-6.00018-3

APA

Caballero, D., Calvini, R., & Amigo, J. M. (2020). Hyperspectral imaging in crop fields: precision agriculture. In J. M. Amigo (Ed.), Hyperspectral Imaging (pp. 453-473). Elsevier. Data Handling in Science and Technology Vol. 32 https://doi.org/10.1016/B978-0-444-63977-6.00018-3

Vancouver

Caballero D, Calvini R, Amigo JM. Hyperspectral imaging in crop fields: precision agriculture. In Amigo JM, editor, Hyperspectral Imaging. Elsevier. 2020. p. 453-473. (Data Handling in Science and Technology, Vol. 32). https://doi.org/10.1016/B978-0-444-63977-6.00018-3

Author

Caballero, Daniel ; Calvini, Rosalba ; Amigo, José Manuel. / Hyperspectral imaging in crop fields : precision agriculture. Hyperspectral Imaging. editor / José Manuel Amigo. Elsevier, 2020. pp. 453-473 (Data Handling in Science and Technology, Vol. 32).

Bibtex

@inbook{235f3f0e2ce3477ea1a1b1d8afc1bef7,
title = "Hyperspectral imaging in crop fields: precision agriculture",
abstract = "Precision agriculture is starting to play a key role in the new generation of modern agricultural revolution. Farmers are increasingly aware of the importance of maintaining direct control of several fundamental aspects such as the state of health of crops, the amount of water or fertilizer, and possible infections that can develop in the field. Hyperspectral imaging (HSI) and multispectral imaging (MSI) have been applied for these matters for some decades. Nevertheless, there are still several technological and practical barriers to face. This chapter provides an overview of some of the relevant scientific literature related to the application of HSI and MSI on crop fields. Some of the applications are related to the detection of contaminants and heavy metals, the control and assessment of water sources, and the detection of the health status of the fields. The main advantages and constraints and the methods to acquire the images (by using satellites or aerial vehicles) are also shown and discussed.",
keywords = "Chemometrics, Field programmable gate arrays, Heavy metal pollution, Hyperspectral imaging, Multispectral images, Precision agriculture",
author = "Daniel Caballero and Rosalba Calvini and Amigo, {Jos{\'e} Manuel}",
year = "2020",
doi = "10.1016/B978-0-444-63977-6.00018-3",
language = "English",
isbn = "978-0-444-63977-6",
series = "Data Handling in Science and Technology",
publisher = "Elsevier",
pages = "453--473",
editor = "Amigo, {Jos{\'e} Manuel}",
booktitle = "Hyperspectral Imaging",
address = "Netherlands",

}

RIS

TY - CHAP

T1 - Hyperspectral imaging in crop fields

T2 - precision agriculture

AU - Caballero, Daniel

AU - Calvini, Rosalba

AU - Amigo, José Manuel

PY - 2020

Y1 - 2020

N2 - Precision agriculture is starting to play a key role in the new generation of modern agricultural revolution. Farmers are increasingly aware of the importance of maintaining direct control of several fundamental aspects such as the state of health of crops, the amount of water or fertilizer, and possible infections that can develop in the field. Hyperspectral imaging (HSI) and multispectral imaging (MSI) have been applied for these matters for some decades. Nevertheless, there are still several technological and practical barriers to face. This chapter provides an overview of some of the relevant scientific literature related to the application of HSI and MSI on crop fields. Some of the applications are related to the detection of contaminants and heavy metals, the control and assessment of water sources, and the detection of the health status of the fields. The main advantages and constraints and the methods to acquire the images (by using satellites or aerial vehicles) are also shown and discussed.

AB - Precision agriculture is starting to play a key role in the new generation of modern agricultural revolution. Farmers are increasingly aware of the importance of maintaining direct control of several fundamental aspects such as the state of health of crops, the amount of water or fertilizer, and possible infections that can develop in the field. Hyperspectral imaging (HSI) and multispectral imaging (MSI) have been applied for these matters for some decades. Nevertheless, there are still several technological and practical barriers to face. This chapter provides an overview of some of the relevant scientific literature related to the application of HSI and MSI on crop fields. Some of the applications are related to the detection of contaminants and heavy metals, the control and assessment of water sources, and the detection of the health status of the fields. The main advantages and constraints and the methods to acquire the images (by using satellites or aerial vehicles) are also shown and discussed.

KW - Chemometrics

KW - Field programmable gate arrays

KW - Heavy metal pollution

KW - Hyperspectral imaging

KW - Multispectral images

KW - Precision agriculture

U2 - 10.1016/B978-0-444-63977-6.00018-3

DO - 10.1016/B978-0-444-63977-6.00018-3

M3 - Book chapter

AN - SCOPUS:85072669419

SN - 978-0-444-63977-6

T3 - Data Handling in Science and Technology

SP - 453

EP - 473

BT - Hyperspectral Imaging

A2 - Amigo, José Manuel

PB - Elsevier

ER -

ID: 230896311