Estimation of spatial and spectral properties of phytophthora root rot and its effects on cranberry yield

Pozdnyakova, Larisa; Oudemans, Peter V.; Hughes, Marilyn G.; Giménez, Daniel

doi:10.1016/s0168-1699(02)00119-9

Cited by 30 publications

(24 citation statements)

References 16 publications

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“…For example, retrospective analyses of transatlantic wind patterns strongly suggested that the fungi causing both sugar cane rust and coffee rust were introduced into the Americas by aerial long-distance dispersal, the former from Cameroon in 1978 and the latter from Angola in 1970 (13,16,144). Spatial disease data and associated infrastructure (GIS, GPS, and various remote-sensing platforms) have been applied in plant pathology for some time (107,126,140), and similar tools are now being developed and implemented by the NPDN to monitor and map outbreaks of agricultural threat organisms. A three-tiered approach to such analyses [Nutter, Phytopathology 94(Suppl.…”

Section: Epidemiological Tools and Models To Support Forensic Analysismentioning

confidence: 99%

Plant Pathogen Forensics: Capabilities, Needs, and Recommendations

Fletcher

Bender

Budowle

et al. 2006

Microbiol Mol Biol Rev

163

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SUMMARY A biological attack on U.S. crops, rangelands, or forests could reduce yield and quality, erode consumer confidence, affect economic health and the environment, and possibly impact human nutrition and international relations. Preparedness for a crop bioterror event requires a strong national security plan that includes steps for microbial forensics and criminal attribution. However, U.S. crop producers, consultants, and agricultural scientists have traditionally focused primarily on strategies for prevention and management of diseases introduced naturally or unintentionally rather than on responding appropriately to an intentional pathogen introduction. We assess currently available information, technologies, and resources that were developed originally to ensure plant health but also could be utilized for postintroduction plant pathogen forensics. Recommendations for prioritization of efforts and resource expenditures needed to enhance our plant pathogen forensics capabilities are presented.

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Section: Epidemiological Tools and Models To Support Forensic Analysismentioning

confidence: 99%

Plant Pathogen Forensics: Capabilities, Needs, and Recommendations

Fletcher

Bender

Budowle

et al. 2006

Microbiol Mol Biol Rev

163

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“…Dutta (2006) used a texture analysis to determine the health status of a tea plantation. Pozdnyakova et al (2002) examined the correlation between soil and spectral characteristic of plants infected by Phytophthora in cranberries. Danielsen and Munk (2003) showed the successful use of spectral reflectance to measure the severity of downy mildew in quinoa.…”

Section: Introductionmentioning

confidence: 99%

Mapping and identifying basal stem rot disease in oil palms in North Sumatra with QuickBird imagery

et al. 2010

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“…The use of HSI for detecting various diseases in crop plants is currently under extensive investigation. Pozdnyakova et al (2002), Williams et al (2010), and Bauriegel et al (2010) studied, respectively, the phytophthora root rot, Fasarium verticillioides in maize and Fusarium head blight detection on wheat using HSI. In addition, Sankaran et al (2010) reviewed the use of HSI techniques for detecting plant diseases.…”

Section: Detection Of Disease or Infectionsmentioning

confidence: 99%

Outdoor Applications of Hyperspectral Imaging Technology for Monitoring Agricultural Crops: A Review

Ahmed¹,

Yasmin²,

Mo³

et al. 2016

Journal of Biosystems Engineering

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Background: Although hyperspectral imaging was originally introduced for military, remote sensing, and astrophysics applications, the use of analytical hyperspectral imaging techniques has been expanded to include monitoring of agricultural crops and commodities due to the broad range and highly specific and sensitive spectral information that can be acquired. Combining hyperspectral imaging with remote sensing expands the range of targets that can be analyzed. Results: Hyperspectral imaging technology can rapidly provide data suitable for monitoring a wide range of plant conditions such as plant stress, nitrogen status, infections, maturity index, and weed discrimination very rapidly, and its use in remote sensing allows for fast spatial coverage. Conclusions: This paper reviews current research on and potential applications of hyperspectral imaging and remote sensing for outdoor field monitoring of agricultural crops. The instrumentation and the fundamental concepts and approaches of hyperspectral imaging and remote sensing for agriculture are presented, along with more recent developments in agricultural monitoring applications. Also discussed are the challenges and limitations of outdoor applications of hyperspectral imaging technology such as illumination conditions and variations due to leaf and plant orientation.

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Estimation of spatial and spectral properties of phytophthora root rot and its effects on cranberry yield

Cited by 30 publications

References 16 publications

Plant Pathogen Forensics: Capabilities, Needs, and Recommendations

Plant Pathogen Forensics: Capabilities, Needs, and Recommendations

Mapping and identifying basal stem rot disease in oil palms in North Sumatra with QuickBird imagery

Outdoor Applications of Hyperspectral Imaging Technology for Monitoring Agricultural Crops: A Review

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