A ground based platform for high throughput phenotyping Academic Article

abstract

• 2017 Elsevier B.V. The objective of this effort was to evaluate current commercially-available sensor technology (three sonic ranging and two NDVI sensors) for use in a ground-based platform for plant phenotyping and crop management decisions. The Global Positioning System (GPS) receiver from Trimble provided a high level of accuracy during our tests. Normalized Difference Vegetation Index (NDVI) data collected using the GreenSeeker sensors were more consistent and presented less variability when compared to the Decagon SRS sensor. The consistency could be due to the GreenSeeker system averaging readings of more rows. The tests also indicated that although sonic ranging sensor technology may be employed to obtain average plant height estimates, the technology is still a limiting factor for high-accuracy measurements at the plant level.

authors

• Enciso, Juan
• Landivar, Juan
• Maeda, Murilo

published proceedings

• COMPUTERS AND ELECTRONICS IN AGRICULTURE

author list (cited authors)

• Enciso, J., Maeda, M., Landivar, J., Jung, J., & Chang, A.

citation count

• 10

complete list of authors

• Enciso, Juan||Maeda, Murilo||Landivar, Juan||Jung, Jinha||Chang, Anjin

publication date

• September 2017

publisher

• Elsevier  Publisher

published in

• Computers and Electronics in Agriculture  Journal

keywords

• Agricultural Management
• Phenotyping
• Remote Sensors

Digital Object Identifier (DOI)

• 10.1016/j.compag.2017.08.006

start page

• 286

end page

• 291

volume

• 141

URL

• http://dx.doi.org/10.1016/j.compag.2017.08.006