Abstract
The application of multi- and hyperspectral remote sensing techniques in the assessment of stress factors in maize crops Field-spectroscopy and satellite multi- and hyperspectral data is used to assess, map and quantify selected biophysical variables in maize crops. Field spectra will be collected from maize plants and selected weed-species to distinguish between crops and weeds based on spectral response. The research aims to stimulate precision agricultural activities in the South African maize industry.
Highlights
Note: A selection of conference proceedings: Student Symposium in Science, 07 and 08 November 2013, University of Pretoria, South Africa
Hierdie studie maak van veldspektroskopie asook van multi- en hiperspektrale ruimtelike data gebruik om drie biofisiese veranderlikes te identifiseer en te kwantifiseer, naamlik onkruidinfestering, waterinhoud en stikstofinhoud
Die eerste fase behels die opname en versameling van veldspektra en blaarmonsters van mielieplante volgens ’n voorafbepaalde steekproefnemingstrategie in ’n eksperimentele mielieland waarop die hoeveelheid water en stikstof wat aan die plante toegedien word, gekontroleer word ten einde stikstof- en voginhoudkonsentrasies teen spektrale respons te modelleer
Summary
Note: A selection of conference proceedings: Student Symposium in Science, 07 and 08 November 2013, University of Pretoria, South Africa. Die assessering van stresfaktore in mieliegewasse deur middel van multi- en hiperspektrale afstandswaarneming metodes Affiliation: 1Department of Geography, Environmental Management and Energy Studies, University of Johannesburg, South Africa
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