Biosystems and Food Engineering Research Review 26: use of sentinel-2 data to monitor plant density and establishment rate of winter wheat fields
Biosystems and Food Engineering Research Review 26: use of sentinel-2 data to monitor plant density and establishment rate of winter wheat fields
Plant counting is a labour intensive and time-consuming task for the farmers. However, it is an important indicator for farmers to make decisions on subsequent field management. This study is to evaluate the potential of Sentinel-2 images using statistical analysis to retrieve information on plant density for monitoring especially during critical period at the end of February. The model was calibrated with in-situ data from 19 winter wheat fields in Republic of Ireland during the crop growing season in 2019-2020. The model for plant density resulted in R2= 0.77, RMSECV= 103 and NRMSE= 14%. This study has shown the potential of using Sentinel-2 to estimate plant density and quantify plant establishment to effectively monitor crop progress and to ensure proper field management.
Goh, Erin
6c1b543b-bdc7-4d85-b7cc-d9ed2c9fc4d3
Holden, Nicholas M.
6c0e4712-7d44-498d-987d-4e43377d5837
1 September 2021
Goh, Erin
6c1b543b-bdc7-4d85-b7cc-d9ed2c9fc4d3
Holden, Nicholas M.
6c0e4712-7d44-498d-987d-4e43377d5837
Goh, Erin and Holden, Nicholas M.
(2021)
Biosystems and Food Engineering Research Review 26: use of sentinel-2 data to monitor plant density and establishment rate of winter wheat fields
,
4pp.
Abstract
Plant counting is a labour intensive and time-consuming task for the farmers. However, it is an important indicator for farmers to make decisions on subsequent field management. This study is to evaluate the potential of Sentinel-2 images using statistical analysis to retrieve information on plant density for monitoring especially during critical period at the end of February. The model was calibrated with in-situ data from 19 winter wheat fields in Republic of Ireland during the crop growing season in 2019-2020. The model for plant density resulted in R2= 0.77, RMSECV= 103 and NRMSE= 14%. This study has shown the potential of using Sentinel-2 to estimate plant density and quantify plant establishment to effectively monitor crop progress and to ensure proper field management.
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Published date: 1 September 2021
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Local EPrints ID: 492031
URI: http://eprints.soton.ac.uk/id/eprint/492031
PURE UUID: 0c4c4192-df79-47ce-9338-4596a3266b63
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Date deposited: 12 Jul 2024 16:44
Last modified: 13 Jul 2024 02:09
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Author:
Erin Goh
Author:
Nicholas M. Holden
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