Detection of stress in cotton (Gossypium hirsutum L.) caused by aphids using leaf level hyperspectral measurements

dc.creatorChen, Tingting
dc.creatorZeng, Ruier
dc.creatorGuo, Wenxuan (TTU)
dc.creatorHou, Xueying
dc.creatorLan, Yubin
dc.creatorZhang, Lei
dc.date.accessioned2023-03-31T15:59:56Z
dc.date.available2023-03-31T15:59:56Z
dc.date.issued2018
dc.description© 2018 by the authors. Licensee MDPI, Basel, Switzerland. cc-by
dc.description.abstractRemote sensing can be a rapid, accurate, and simple method for assessing pest damage on plants. The objectives of this study were to identify spectral wavelengths sensitive to cotton aphid infestation. Then, the normalized difference spectral indices (NDSI) and ratio spectral indices (RSI) based on the leaf spectrum were obtained within 350–2500 nm, and their correlation with infestation were qualified. The results showed that leaf spectral reflectance decreased in the visible range (350–700 nm) and the near-infrared range (NIR, 700–1300 nm) as aphid damage severity increased, and significant differences were found in blue, green, red, NIR and short-wave infrared (SWIR) band regions between different grades of aphid damage severity. Decrease in Chlorophyll a (Chl a) pigment was more significant than that in Chlorophyll (Chl b) in the infested plants and the Chl a/b ratio showed a decreasing trend with increase in aphid damage severity. The sensitive spectral bands were mainly within NIR and SWIR ranges. The best spectral indices NDSI (R678, R1471) and RSI (R1975, R1904) were formulated with these sensitive spectral regions through reducing precise sampling method. These new indices along with 16 other stress related indices compiled from literature were further tested for their ability to detect aphid damage severity. The two indices in this study showed significantly higher coefficients of determination (R2 of 0.81 and 0.81, p < 0.01) and the least RMSE values (RMSE of 0.50 and 0.49), and hence have potential application in assessing aphid infestation severity in cotton.
dc.identifier.citationChen, T., Zeng, R., Guo, W., Hou, X., Lan, Y., & Zhang, L.. 2018. Detection of stress in cotton (Gossypium hirsutum L.) caused by aphids using leaf level hyperspectral measurements. Sensors (Switzerland), 18(9). https://doi.org/10.3390/s18092798
dc.identifier.urihttps://doi.org/10.3390/s18092798
dc.identifier.urihttps://hdl.handle.net/2346/92284
dc.language.isoeng
dc.subjectAphid
dc.subjectBiotic stress detection
dc.subjectCotton
dc.subjectHyperspectral indices
dc.subjectRemote sensing
dc.titleDetection of stress in cotton (Gossypium hirsutum L.) caused by aphids using leaf level hyperspectral measurements
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
guo_article.pdf
Size:
1.76 MB
Format:
Adobe Portable Document Format
Description:
Main article with TTU Libraries cover page

Collections