THE OPTIMAL CHOICE OF THE CHARACTERISTIC WAVELENGTHS IN SPECTRAL IMAGING FOR CUCUMBER DOWNY MILDEW

Journal Title: INMATEH-Agricultural Engineering - Year 2019, Vol 57, Issue 1

Abstract

Aiming at the spectral image acquisition of cucumber downy mildew, the study proposed the optimal selection method of spectral imaging characteristic wavelengths combining the mean-variance analysis and analysis of variance. In this study, the variation degree and range of reflection spectrum was quantitatively measured for both healthy leaves and disease spots in cucumber plants. The analysis showed that the three sensitive wavebands (493 nm - 533 nm, 561 nm - 653 nm, and 689 nm - 698 nm) could properly reflect the inter class difference in spectral reflectance between the dorsal part of lesion and healthy leaves. When the selected combination of spectrum was used as the reference for disease spectral imaging acquisition, it showed that the choice of sensitive wavebands can better reflect the difference in the characteristics between lesion and healthy leaves. It has laid the foundation for obtaining the effective spectral images of disease and simplifying the algorithm for image identification.

Authors and Affiliations

C. X. Geng, P. Wang, P. L. Qin, W. B. Zhang, P. B. Wang

Keywords

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  • EP ID EP552947
  • DOI -
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How To Cite

C. X. Geng, P. Wang, P. L. Qin, W. B. Zhang, P. B. Wang (2019). THE OPTIMAL CHOICE OF THE CHARACTERISTIC WAVELENGTHS IN SPECTRAL IMAGING FOR CUCUMBER DOWNY MILDEW. INMATEH-Agricultural Engineering, 57(1), 29-36. https://europub.co.uk/articles/-A-552947