Detection and quantification of broadleaf weeds in turfgrass using close-range multispectral imagery with pixel- and object-based classification-Reference-Cited by-同舟云学术

Detection and quantification of broadleaf weeds in turfgrass using close-range multispectral imagery with pixel- and object-based classification

Author:

Hahn Daniel S.¹,Roosjen Peter²,Morales Alejandro¹³,Nijp Jelmer⁴,Beck Leslie⁵,Velasco Cruz Ciro⁵,Leinauer Bernd¹⁵^ORCID

Affiliation:

1. Centre for Crop Systems Analysis, Wageningen University & Research, Wageningen, The Netherlands

2. Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, Wageningen, The Netherlands

3. Plant Ecophysiology and Molecular Plant Physiology, Utrecht University, Utrecht, The Netherlands

4. Ecohydrology Department, KWR Water Research Institute, Nieuwegein, The Netherlands

5. Department of Extension Plant Sciences, New Mexico State University, Las Cruces, USA

Funder

Turfgrass University Research Foundation

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

Reference59 articles.

4. Analyzer, T. 2018. “Analyze Plant Health.” http://turfanalyzer.com

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