Unmanned aerial vehicle canopy reflectance data detects potassium deficiency and green peach aphid susceptibility in canola

Precision Agriculture

Volumn 17, Issue 6, 2016, Pages 659-677

  Severtson, Dustin ^a,b   Callow, Nik ^a   Flower, Ken ^a   Neuhaus, Andreas ^c   Olejnik, Matt ^d   Nansen, Christian ^e  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

^b DEPARTMENT OF AGRICULTURE AND FOOD WESTERN AUSTRALIA   (Australia)

^c CSBP Limited   (Australia)

^d Sensorem   (Australia)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Arthropod performance; Canopy reflectance; Green peach aphid; Potassium deficiency; Remote sensing

Indexed keywords

ACCURACY ASSESSMENT; AIRBORNE SENSING; APHID; CANOLA; CANOPY REFLECTANCE; CROP DAMAGE; CROP PEST; CROP YIELD; LABORATORY METHOD; NDVI; NUTRIENT LIMITATION; PIXEL; POTASSIUM; REMOTE SENSING; UNMANNED VEHICLE; VEGETATION COVER;

APHIDIDAE; ARTHROPODA; BRASSICA NAPUS VAR. NAPUS; HEMIPTERA; MYZUS PERSICAE;

EID: 84961187254     PISSN: 13852256     EISSN: 15731618     Source Type: Journal    
DOI: 10.1007/s11119-016-9442-0     Document Type: Article

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