Leaf and canopy level detection of Fusarium virguliforme (sudden death syndrome) in soybean

Remote Sensing

Volumn 10, Issue 3, 2018, Pages

  Herrmann, Ittai ^a   Vosberg, Steven K ^a   Ravindran, Prabu ^a   Singh, Aditya ^a   Chang, Hao Xun ^b   Chilvers, Martin I ^b   Conley, Shawn P ^a   Townsend, Philip A ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

Diseases detection; Hyperspectral; Partial least squares; Piccolo Doppio; Precision agriculture; Seed yield assessment; Soybeans; Sudden death syndrome

Indexed keywords

AGRICULTURE; CALIBRATION; DISCRIMINANT ANALYSIS; FOOD SUPPLY; FORECASTING; FUNGI; LEAST SQUARES APPROXIMATIONS; MEAN SQUARE ERROR; PRECISION AGRICULTURE; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; SEED; SPECTROMETERS; SPECTROSCOPIC ANALYSIS; TRACTORS (AGRICULTURAL); TRACTORS (TRUCK);

HYPERSPECTRAL; PARTIAL LEAST SQUARE (PLS); PICCOLO DOPPIO; SEED YIELD; SOYBEANS; SUDDEN DEATH SYNDROMES;

INFORMATION MANAGEMENT;

EID: 85044214891     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs10030426     Document Type: Article

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