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Portable Diffuse Reflectance Spectroscopy of Potato Leaves for Pre-Symptomatic Detection of Late Blight Disease.
Zhou, Chen; Bucklew, Victor G; Edwards, Perry S; Zhang, Chenji; Yang, Jinkai; Ryan, Philip J; Hughes, David P; Qu, Xinshun; Liu, Zhiwen.
Affiliation
  • Zhou C; Department of Electrical Engineering, The Pennsylvania State University, University Park, PA, USA.
  • Bucklew VG; Atoptix, Inc., State College, PA, USA.
  • Edwards PS; Atoptix, Inc., State College, PA, USA.
  • Zhang C; Department of Electrical Engineering, The Pennsylvania State University, University Park, PA, USA.
  • Yang J; Department of Electrical Engineering, The Pennsylvania State University, University Park, PA, USA.
  • Ryan PJ; Department of Electrical Engineering, The Pennsylvania State University, University Park, PA, USA.
  • Hughes DP; Department of Entomology, The Pennsylvania State University, University Park, PA, USA.
  • Qu X; Department of Plant Pathology and Environmental Microbiology, The Pennsylvania State University, University Park, PA, USA.
  • Liu Z; Department of Electrical Engineering, The Pennsylvania State University, University Park, PA, USA.
Appl Spectrosc ; 77(5): 491-499, 2023 May.
Article in En | MEDLINE | ID: mdl-36898969
We report on the use of leaf diffuse reflectance spectroscopy for plant disease detection. A smartphone-operated, compact diffused reflectance spectrophotometer is used for field collection of leaf diffuse reflectance spectra to enable pre-symptomatic detection of the progression of potato late blight disease post inoculation with oomycete pathogen Phytophthora infestans. Neural-network-based analysis predicts infection with >96% accuracy, only 24 h after inoculation with the pathogen, and nine days before visual late blight symptoms appear. Our study demonstrates the potential of using portable optical spectroscopy in tandem with machine learning analysis for early diagnosis of plant diseases.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Solanum tuberosum / Phytophthora infestans Type of study: Diagnostic_studies / Screening_studies Language: En Journal: Appl Spectrosc Year: 2023 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Solanum tuberosum / Phytophthora infestans Type of study: Diagnostic_studies / Screening_studies Language: En Journal: Appl Spectrosc Year: 2023 Document type: Article Affiliation country: United States Country of publication: United States