Hostname: page-component-cd9895bd7-q99xh Total loading time: 0 Render date: 2024-12-24T18:42:25.154Z Has data issue: false hasContentIssue false
  • English
  • Français

High resolution strawberry field monitoring using the compact hyperspectral imaging solution COSI

Published online by Cambridge University Press:  01 June 2017

S. Delalieux ,
B. Delauré ,
L. Tits ,
M. Boonen ,
A. Sima  and
P-J. Baeck
S. Delalieux*
Affiliation:
VITO, Flemish Institute for Technological Research, Remote Sensing department, Mol, Belgium
B. Delauré
Affiliation:
VITO, Flemish Institute for Technological Research, Remote Sensing department, Mol, Belgium
L. Tits
Affiliation:
VITO, Flemish Institute for Technological Research, Remote Sensing department, Mol, Belgium
M. Boonen
Affiliation:
pcfruit npo, Department field research berryfruits, Fruittuinweg 1, Sint-Truiden, Belgium
A. Sima
Affiliation:
VITO, Flemish Institute for Technological Research, Remote Sensing department, Mol, Belgium
P-J. Baeck
Affiliation:
VITO, Flemish Institute for Technological Research, Remote Sensing department, Mol, Belgium
*
†E-mail: [email protected]
Get access

Abstract

In strawberry production, a balanced and accurate irrigation schedule is essential, because of the high sensitivity of strawberry plants to water deficits and waterlogging. The optimal irrigation management strategy can, however, only be obtained by an accurate crop monitoring system. To replace the current visual inspection methods, which are subjective, time consuming and labour-intensive, the performance of the COmpact hyperSpectral Imaging system (COSI) mounted on an RPAS (Remotely Piloted Aircraft System) was evaluated. The study, focusing on different irrigation treatments in strawberry cultivation, unraveled the potential of the COSI system, to monitor field variations, even at small scale. Growth inhibition and differences in plant physiology due to water deficit could be detected. As such, the COSI system has shown potential for steering irrigation management decisions in strawberry cultivation.

Keywords

Strawberriesirrigation managementhyperspectralRPASRemote Sensing
Type
Crop Sensors and Sensing
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 156 - 161
Copyright
© The Animal Consortium 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Blackburn, GA 1998. Spectral indices for estimating photosynthetic pigment concentrations: a test using senescent tree leaves. International Journal of Remote Sensing 19, 657–675.CrossRefGoogle Scholar
Hsiao, TC and Acevedo, E 1974. Plant responses to water deficits, water-use efficiency, and drought resistance. Agricultural Meteorology 14, 59–84.CrossRefGoogle Scholar
Krüger, E, Schmidt, G and Brückner, U 1999. Scheduling strawberry irrigation based upon tensiometer measurement and a climatic water balance model. Scientia Horticulturae 81, 409–424.CrossRefGoogle Scholar
Sima, A, Baeck, P-J, Nuyts, D, Delalieux, S, Livens, S, Blommaert, J, Delauré, B and Boonen, M 2016. Compact Hyperspectral Imaging System (COSI) for small Remotely Piloted Aircraft Systems (RPAS) – System Overview and first performance evaluation results. DOI: 10.5194/isprs-archives-XLI-B1-1157-2016.CrossRefGoogle Scholar