Early detection of corn and sunflower stress induced by chemical spraying

S. Gad, Y. Edan, T. Sandovsky, I. Harary, T. Nacson, E. Kosover, A. Levi Bar Shalom, V. Alchanatis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Herbicides inhibit plant growth by affecting different bio-chemical pathways or bio-physical states. Stress that was induced by inhibiting lipid metabolism or photosynthesis on corn and sunflower was detected using leaf spectral reflectance. Leaf spectral signatures were measured at six time points during two weeks by a spectro-radiometer. Phenotypes were evaluated by an expert at the same time points. Spectral processing models were used to compare the spectral response of a control group to treated plants using statistical T-tests. Results revealed that spectral reflectance can be used to detect the stress induced by inhibiting photosynthesis on corn and sunflower at the same time that the first visual symptoms appeared. Also, early detection can be accomplished with a lower confidence two days before visual symptoms appear.

Original languageEnglish
Title of host publicationPrecision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019
EditorsJohn V. Stafford
PublisherWageningen Academic Publishers
Pages279-285
Number of pages7
ISBN (Electronic)9789086863372
DOIs
StatePublished - 1 Jan 2019
Event12th European Conference on Precision Agriculture, ECPA 2019 - Montpellier, France
Duration: 8 Jul 201911 Jul 2019

Publication series

NamePrecision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019

Conference

Conference12th European Conference on Precision Agriculture, ECPA 2019
Country/TerritoryFrance
CityMontpellier
Period8/07/1911/07/19

Keywords

  • Detection
  • Herbicides
  • Leaf
  • Spectrometry

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