Comparison of crop canopy sensors in sugarcane

L.R. Amaral; H.J.A. Rosa; G. Portz; F.B. Finazzi; J.P. Molin

Comparison of crop canopy sensors in sugarcane

In: Precision agriculture '13

Authors:

L.R. Amaral

L.R. Amaral University of São Paulo, ‘Luiz de Queiroz’ College of Agriculture, Biosystems Engineering Department, Piracicaba, São Paulo, Brazil; jpmolin@usp.br

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H.J.A. Rosa

H.J.A. Rosa University of São Paulo, ‘Luiz de Queiroz’ College of Agriculture, Biosystems Engineering Department, Piracicaba, São Paulo, Brazil; jpmolin@usp.br

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G. Portz

G. Portz University of São Paulo, ‘Luiz de Queiroz’ College of Agriculture, Biosystems Engineering Department, Piracicaba, São Paulo, Brazil; jpmolin@usp.br

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F.B. Finazzi

F.B. Finazzi University of São Paulo, ‘Luiz de Queiroz’ College of Agriculture, Biosystems Engineering Department, Piracicaba, São Paulo, Brazil; jpmolin@usp.br

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J.P. Molin

J.P. Molin University of São Paulo, ‘Luiz de Queiroz’ College of Agriculture, Biosystems Engineering Department, Piracicaba, São Paulo, Brazil; jpmolin@usp.br

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Type:: Chapter

Pages:: 103–110

DOI:: https://doi.org/10.3920/9789086867783_013

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Optimized nitrogen fertilization of sugarcane is still a challenge. Crop canopy reflectance sensors can potentially help in improving N management. However, there is no information available in the literature about canopy sensor efficiency as well as about vegetation indices that are suitable for sugarcane production. Therefore, a comparison was undertaken. Two fields were scanned with three canopy sensors (GreenSeeker and CropCircle, models ACS-210 and ACS-430), resulting in five vegetation indices (VI). The resultant spatial data were compared. In order to compare the efficiency of each device, plant samples were taken and analyzed, and then the results were correlated with the sensed data. Both Crop Circle sensors had similar results, regardless of the VI used. Although the GreenSeeker sensor had the lowest capability to identify sugarcane vigor, based on biomass samples, all sensors are able to identify the variability in crop development.

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Precision agriculture '13

E-Book ISBN:: 9789086867783

Publisher:: Wageningen Academic

Print Publication Date:: 01 Nov 2013

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

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Comparison of crop canopy sensors in sugarcane

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Precision agriculture '13

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