Soybean iron deficiency chlorosis high-throughput phenotyping using an unmanned aircraft system

Background Iron deficiency chlorosis (IDC) is an abiotic stress in soybean [Glycine max (L.) Merr.] that causes significant yield reductions. Symptoms of IDC include interveinal chlorosis and stunting of the plant. While there are management practices that can overcome these drastic yield losses, th...

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Bibliographic Details
Published in:	Plant methods 2019-08, Vol.15 (1), p.97-97, Article 97
Main Authors:	Dobbels, Austin A., Lorenz, Aaron J.
Format:	Article
Language:	English
Subjects:	abiotic stress Aircraft Artificial neural networks Automation Biological Techniques Biomedical and Life Sciences Breeding breeding lines breeding programs Calibration cameras canopy Chlorosis Chlorosis (Plants) Digital imaging Glycine max Growing season growth retardation Identification and classification Image classification Image processing equipment Infrared imagery Iron Iron deficiency Iron deficiency chlorosis Iron deficiency diseases Life Sciences linear models Methods near-infrared spectroscopy Neural network Neural networks nutrient deficiencies Nutrient deficiency Observations phenotype Phenotypes Phenotyping Physiological aspects Plant breeding Plant Sciences Random forest Remote sensing Researchers screening Soil analysis Soil classification Soybean Soybeans summer Unmanned aerial vehicles Unmanned aircraft Unmanned aircraft system (UAS)
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