Nitrogen prediction in potato petioles based on spectral data and hyperspectral images

Y. Cohen, Y. Zusman, V. Alchanatis, Z. Dar, D. Bonfil, A. Zilberman, A. Karnieli, V. Ostrovsky, A. Levi, R. Brikman, M. Shenker

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

2 Scopus citations

Abstract

Initial results are presented of an ongoing study to predict petiole N content in potatoes using spectral data and hyperspectral imaging. Five N fertilization treatments were conducted in a potato field in Israel. Spectral reflectance of single leaves and hyperspectral images captured from 20m above the crop were collected on four days in the spring of 2006. The TCARI index was calculated for spectral and hyperspectral data. High correlations were found between TCARI and petiole N content. This is a first stage in N content estimation and mapping in potato fields for variable rate fertilization.

Original languageEnglish
Title of host publicationPrecision Agriculture 2007 - Papers Presented at the 6th European Conference on Precision Agriculture, ECPA 2007
Pages143-150
Number of pages8
StatePublished - 1 Dec 2007
Externally publishedYes
Event6th European Conference on Precision Agriculture, ECPA 2007 - Skiathos, Greece
Duration: 3 Jun 20076 Jun 2007

Publication series

NamePrecision Agriculture 2007 - Papers Presented at the 6th European Conference on Precision Agriculture, ECPA 2007

Conference

Conference6th European Conference on Precision Agriculture, ECPA 2007
Country/TerritoryGreece
CitySkiathos
Period3/06/076/06/07

Keywords

  • Fertilization
  • Hyperspectral images
  • N petiole content
  • Nitrogen
  • TCARI

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