Optical Sensing of Weed Infestations at Harvest
| Autor: | John D. McCallum, Dan S. Long, Judit Barroso |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Chlorophyll
0106 biological sciences Salsola food.ingredient weed mapping Weed Control Variable Rate Technology Plant Weeds Biosensing Techniques lcsh:Chemical technology 01 natural sciences Biochemistry Article on-line optical sensing Analytical Chemistry chemistry.chemical_compound food lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation Triticum Plant Proteins biology Optical Devices Lactuca serriola Agriculture 04 agricultural and veterinary sciences Pesticide biology.organism_classification Weed control Atomic and Molecular Physics and Optics chemistry Agronomy site-specific weed management 040103 agronomy & agriculture Thistle 0401 agriculture forestry and fisheries Environmental science Edible Grain Weed 010606 plant biology & botany |
| Zdroj: | Sensors, Vol 17, Iss 10, p 2381 (2017) Sensors; Volume 17; Issue 10; Pages: 2381 Sensors (Basel, Switzerland) |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s17102381 |
| Popis: | Kochia (Kochia scoparia L.), Russian thistle (Salsola tragus L.), and prickly lettuce (Lactuca serriola L.) are economically important weeds infesting dryland wheat (Triticum aestivum L.) production systems in the western United States. Those weeds produce most of their seeds post-harvest. The objectives of this study were to determine the ability of an optical sensor, installed for on-the-go measurement of grain protein concentration, to detect the presence of green plant matter in flowing grain and assess the potential usefulness of this information for mapping weeds at harvest. Spectra of the grain stream were recorded continuously at a rate of 0.33 Hz during harvest of two spring wheat fields of 1.9 and 5.4 ha. All readings were georeferenced using a Global Positioning System (GPS) receiver with 1 m positional accuracy. Chlorophyll of green plant matter was detectable in the red (638–710 nm) waveband. Maps of the chlorophyll signal from both fields showed an overall agreement of 78.1% with reference maps, one constructed prior to harvest and the other at harvest time, both based on visual evaluations of the three green weed species conducted by experts. Information on weed distributions at harvest may be useful for controlling post-harvest using variable rate technology for herbicide applications. |
| Databáze: | OpenAIRE |
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