Satellite-based detection of sowing dates in field crops

Y. Sadeh; X. Zhu; K. Chenu; D. Dunkerley

doi:10.3920/978-90-8686-888-9_61

Satellite-based detection of sowing dates in field crops

Y. Sadeh, X. Zhu, K. Chenu, D. Dunkerley

School of Earth Atmosphere and Environment

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

Abstract

Sowing dates affect the environmental conditions that plants will experience during their lifetime and thus greatly influence yields. This paper presents a newly developed innovative, semi-automated method to detect sowing of crops on no-till fields using high spatio-temporal resolution CubeSat satellites. This method succeeded in identifying the actual sowing dates of individual fields with an RMSE of 0.9 and 1.9 days in a set of 16 national trial fields and in 50 fields of a commercial farm, respectively. The method is robust and can be applied over a wide range of soil types, atmospheric conditions, crop types and sensors, to detect sowing dates even at sub-field scales. It opens avenue to improve satellite-based yield prediction.

Original language	English
Title of host publication	Precision Agriculture 2019
Subtitle of host publication	Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019
Editors	John V. Stafford
Publisher	Wageningen Academic Publishers
Pages	493-500
Number of pages	8
ISBN (Electronic)	9789086868889
ISBN (Print)	9789086863372
DOIs	https://doi.org/10.3920/978-90-8686-888-9_61
Publication status	Published - 8 Jul 2019
Event	European Conference on Precision Agriculture 2019 - Montpellier, France Duration: 8 Jul 2019 → 11 Jul 2019 Conference number: 12th https://ecpa2019.agrotic.org/

Conference

Conference	European Conference on Precision Agriculture 2019
Abbreviated title	ECPA 2019
Country/Territory	France
City	Montpellier
Period	8/07/19 → 11/07/19
Internet address	https://ecpa2019.agrotic.org/

Keywords

CubeSats
Farming management
Planting dates
Satellite images
Sowing dates

Access to Document

10.3920/978-90-8686-888-9_61

Cite this

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title = "Satellite-based detection of sowing dates in field crops",

abstract = "Sowing dates affect the environmental conditions that plants will experience during their lifetime and thus greatly influence yields. This paper presents a newly developed innovative, semi-automated method to detect sowing of crops on no-till fields using high spatio-temporal resolution CubeSat satellites. This method succeeded in identifying the actual sowing dates of individual fields with an RMSE of 0.9 and 1.9 days in a set of 16 national trial fields and in 50 fields of a commercial farm, respectively. The method is robust and can be applied over a wide range of soil types, atmospheric conditions, crop types and sensors, to detect sowing dates even at sub-field scales. It opens avenue to improve satellite-based yield prediction.",

keywords = "CubeSats, Farming management, Planting dates, Satellite images, Sowing dates",

author = "Y. Sadeh and X. Zhu and K. Chenu and D. Dunkerley",

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booktitle = "Precision Agriculture 2019",

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url = "https://ecpa2019.agrotic.org/",

}

Sadeh, Y , Zhu, X, Chenu, K & Dunkerley, D 2019, Satellite-based detection of sowing dates in field crops. in JV Stafford (ed.), Precision Agriculture 2019: Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019. Wageningen Academic Publishers, pp. 493-500, European Conference on Precision Agriculture 2019, Montpellier, France, 8/07/19. https://doi.org/10.3920/978-90-8686-888-9_61

Satellite-based detection of sowing dates in field crops. / Sadeh, Y.; Zhu, X.; Chenu, K. et al.
Precision Agriculture 2019: Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019. ed. / John V. Stafford. Wageningen Academic Publishers, 2019. p. 493-500.

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

TY - GEN

T1 - Satellite-based detection of sowing dates in field crops

AU - Sadeh, Y.

AU - Zhu, X.

AU - Chenu, K.

AU - Dunkerley, D.

N1 - Conference code: 12th

PY - 2019/7/8

Y1 - 2019/7/8

N2 - Sowing dates affect the environmental conditions that plants will experience during their lifetime and thus greatly influence yields. This paper presents a newly developed innovative, semi-automated method to detect sowing of crops on no-till fields using high spatio-temporal resolution CubeSat satellites. This method succeeded in identifying the actual sowing dates of individual fields with an RMSE of 0.9 and 1.9 days in a set of 16 national trial fields and in 50 fields of a commercial farm, respectively. The method is robust and can be applied over a wide range of soil types, atmospheric conditions, crop types and sensors, to detect sowing dates even at sub-field scales. It opens avenue to improve satellite-based yield prediction.

AB - Sowing dates affect the environmental conditions that plants will experience during their lifetime and thus greatly influence yields. This paper presents a newly developed innovative, semi-automated method to detect sowing of crops on no-till fields using high spatio-temporal resolution CubeSat satellites. This method succeeded in identifying the actual sowing dates of individual fields with an RMSE of 0.9 and 1.9 days in a set of 16 national trial fields and in 50 fields of a commercial farm, respectively. The method is robust and can be applied over a wide range of soil types, atmospheric conditions, crop types and sensors, to detect sowing dates even at sub-field scales. It opens avenue to improve satellite-based yield prediction.

KW - CubeSats

KW - Farming management

KW - Planting dates

KW - Satellite images

KW - Sowing dates

UR - https://www.scopus.com/pages/publications/85073732966

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M3 - Conference Paper

SN - 9789086863372

SP - 493

EP - 500

BT - Precision Agriculture 2019

A2 - Stafford, John V.

PB - Wageningen Academic Publishers

T2 - European Conference on Precision Agriculture 2019

Y2 - 8 July 2019 through 11 July 2019

ER -

Satellite-based detection of sowing dates in field crops

Abstract

Conference

Keywords

Access to Document

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