Using Color Infrared Imagery to Detect Sooty Mold and Fungal Pathogens of Glasshouse-propagated Plants
Using Color Infrared Imagery to Detect Sooty Mold and Fungal Pathogens of Glasshouse-propagated Plants
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使用彩色红外图像检测温室繁殖植物的煤烟霉菌和真菌病原体
DOI:
10.21273/hortsci.43.5.1485
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发表时间:
2008
期刊:
影响因子:
1.9
通讯作者:
C. Little
中科院分区:
文献类型:
--
作者:
K. Summy;C. Little
Fungi are major biotic constraints for optimum production and quality of glasshouse plants.Whenplants areinfested withsootymold (Capnodiumspp.) or infected with pathogens, the reflected wavelengths of the electromagnetic spectrum are altered. Spectroradiometric measurements and color infrared (CIR) images of control, honey- dew-coated,andsooty mold-infestedsaplingsandindividualleaves fromtrifoliateorange (Poncirus trifoliata), sour orange (Citrus aurantium), 'Valencia' orange (C. sinensis), and 'Bo' tree (Ficus religiosa) were obtained. Grapefruit saplings and individual leaves infected with Mycosphaerella citri (greasy spot) were imaged under glasshouse con- ditions. Similarly, muskmelon foliage showing low and high levels of powdery mildew (Sphaerotheca fuliginea) disease severity were analyzed. When examining individual leaves, all fungal biotic stressors generally resulted in variable spectral reflectance data, especially in the blue (450 nm) and green (550 nm) wavelengths; however, values in the red (650 nm) tended to increase and values in the near-IR (850 nm) tended to decrease with stress. Near-IR/red image ratios were significantly reduced (P < 0.05) in stressed whole plant foliage and individual leaves relative to healthy controls. The accumulation of insect honeydew (which occurs before sooty mold infestation) significantly increased (P < 0.05) near-IR reflectance values and near-IR/red ratios in 'Valencia' orange and near-IR/ratios in 'Bo' tree foliage and individual leaves. Image acquisition and enhancement techniques may prove useful in large-scale production greenhouses where existing infrastructure and high plant populations require high throughput data analysis and identification of biotic stressors.