Advanced search
1 file | 1.86 MB Add to list

Practical recommendations for hyperspectral and thermal proximal disease sensing in potato and leek fields

Simon Appeltans (UGent) , Angela Patricia Guerrero Castillo (UGent) , Said Nawar (UGent) , Jan Pieters (UGent) and Abdul Mouazen (UGent)
(2020) REMOTE SENSING. 12(12).
Author
Organization
Abstract
Thermal and hyperspectral proximal disease sensing are valuable tools towards increasing pesticide use efficiency. However, some practical aspects of the implementation of these sensors remain poorly understood. We studied an optimal measurement setup combining both sensors for disease detection in leek and potato. This was achieved by optimising the signal-to-noise ratio (SNR) based on the height of measurement above the crop canopy, off-zenith camera angle and exposure time (ET) of the sensor. Our results indicated a clear increase in SNR with increasing ET for potato. Taking into account practical constraints, the suggested setup for a hyperspectral sensor in our experiment involves (for both leek and potato) an off-zenith angle of 17 degrees, height of 30 cm above crop canopy and ET of 1 ms, which differs from the optimal setup of the same sensor for wheat. Artificial light proved important to counteract the effect of cloud cover on hyperspectral measurements. The interference of these lamps with thermal measurements was minimal for a young leek crop but increased in older leek and after long exposure. These results indicate the importance of optimising the setup before measurements, for each type of crop.
Keywords
General Earth and Planetary Sciences, hyperspectral, thermal, proximal sensing, disease detection, signal-to-noise ratio, FUSARIUM HEAD BLIGHT, PLANT, REFLECTANCE, CALIBRATION, PREDICTION, NITROGEN, CLIMATE, ANGLE

Downloads

  • remotesensing-12-01939.pdf
    • full text (Published version)
    • |
    • open access
    • |
    • PDF
    • |
    • 1.86 MB

Citation

Please use this url to cite or link to this publication:

MLA
Appeltans, Simon, et al. “Practical Recommendations for Hyperspectral and Thermal Proximal Disease Sensing in Potato and Leek Fields.” REMOTE SENSING, vol. 12, no. 12, 2020, doi:10.3390/rs12121939.
APA
Appeltans, S., Guerrero Castillo, A. P., Nawar, S., Pieters, J., & Mouazen, A. (2020). Practical recommendations for hyperspectral and thermal proximal disease sensing in potato and leek fields. REMOTE SENSING, 12(12). https://doi.org/10.3390/rs12121939
Chicago author-date
Appeltans, Simon, Angela Patricia Guerrero Castillo, Said Nawar, Jan Pieters, and Abdul Mouazen. 2020. “Practical Recommendations for Hyperspectral and Thermal Proximal Disease Sensing in Potato and Leek Fields.” REMOTE SENSING 12 (12). https://doi.org/10.3390/rs12121939.
Chicago author-date (all authors)
Appeltans, Simon, Angela Patricia Guerrero Castillo, Said Nawar, Jan Pieters, and Abdul Mouazen. 2020. “Practical Recommendations for Hyperspectral and Thermal Proximal Disease Sensing in Potato and Leek Fields.” REMOTE SENSING 12 (12). doi:10.3390/rs12121939.
Vancouver
1.
Appeltans S, Guerrero Castillo AP, Nawar S, Pieters J, Mouazen A. Practical recommendations for hyperspectral and thermal proximal disease sensing in potato and leek fields. REMOTE SENSING. 2020;12(12).
IEEE
[1]
S. Appeltans, A. P. Guerrero Castillo, S. Nawar, J. Pieters, and A. Mouazen, “Practical recommendations for hyperspectral and thermal proximal disease sensing in potato and leek fields,” REMOTE SENSING, vol. 12, no. 12, 2020.
@article{8665211,
  abstract     = {Thermal and hyperspectral proximal disease sensing are valuable tools towards increasing pesticide use efficiency. However, some practical aspects of the implementation of these sensors remain poorly understood. We studied an optimal measurement setup combining both sensors for disease detection in leek and potato. This was achieved by optimising the signal-to-noise ratio (SNR) based on the height of measurement above the crop canopy, off-zenith camera angle and exposure time (ET) of the sensor. Our results indicated a clear increase in SNR with increasing ET for potato. Taking into account practical constraints, the suggested setup for a hyperspectral sensor in our experiment involves (for both leek and potato) an off-zenith angle of 17 degrees, height of 30 cm above crop canopy and ET of 1 ms, which differs from the optimal setup of the same sensor for wheat. Artificial light proved important to counteract the effect of cloud cover on hyperspectral measurements. The interference of these lamps with thermal measurements was minimal for a young leek crop but increased in older leek and after long exposure. These results indicate the importance of optimising the setup before measurements, for each type of crop.},
  articleno    = {1939},
  author       = {Appeltans, Simon and Guerrero Castillo, Angela Patricia and Nawar, Said and Pieters, Jan and Mouazen, Abdul},
  issn         = {2072-4292},
  journal      = {REMOTE SENSING},
  keywords     = {General Earth and Planetary Sciences,hyperspectral,thermal,proximal sensing,disease detection,signal-to-noise ratio,FUSARIUM HEAD BLIGHT,PLANT,REFLECTANCE,CALIBRATION,PREDICTION,NITROGEN,CLIMATE,ANGLE},
  language     = {eng},
  number       = {12},
  pages        = {19},
  title        = {Practical recommendations for hyperspectral and thermal proximal disease sensing in potato and leek fields},
  url          = {http://dx.doi.org/10.3390/rs12121939},
  volume       = {12},
  year         = {2020},
}

Altmetric
View in Altmetric
Web of Science
Times cited: