Detection of Fungal Diseases Optically and Pathogen Inoculum by Air Sampling

West, Jonathan; Bravo, C.; Oberti, R.; Moshou, Dimitrios; Ramón, Herman; McCartney, H. A.

doi:10.1007/978-90-481-9277-9_9

Cited by 28 publications

(15 citation statements)

References 43 publications

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“…Changes in reflectance result from modifications of biophysical and biochemical characteristics of plant tissue. Diseases may cause modifications in tissue colour and leaf shape, transpiration rate, crop canopy morphology and density as well as variation in the interaction of solar radiation with plants (West et al 2010). They result in modified optical properties of leaf tissue.…”

Section: Spectral Signature Of Plant Diseasesmentioning

confidence: 99%

“…Disease monitoring and decision support systems form the basis for sitespecific management of crops showing spatial and temporal variability in disease incidence and severity (Steiner et al 2008). Currently two different approaches for site specific fungicide application are under examination; (i) indirect decision-making by assessing canopy density or crop growth stage (Scotford and Miller 2005), and (ii) direct detection of disease or inoculum (West et al 2010). The first method largely depends on a mechanical sensor measuring the resistance of the crop stand to a pendulum moving through the crop and aims to adjust the spray volume to crop density in order to adjust the fungicide concentration per plant biomass (Dammer 2010).…”

Section: Precision Crop Protection As a Part Of Precision Agriculturementioning

confidence: 99%

“…Active sensors are less affected by environmental factors. Chaerle and Van der Straeten (2000) and West et al (2003West et al ( , 2010 gave detailed overviews on various sensor types used for assessing plant physiological parameters. Encouraging approaches are measurements based on thermal characteristics (Jones and Schofield 2008;Lenthe et al 2007;Oerke et al 2006), chlorophyll fluorescence (Chaerle et al 2007;Rascher et al 2000) and reflectance of plants (Oppelt and Mauser 2004;Peñuelas and Filella 1998;Ustin et al 2009).…”

Section: Sensors-innovations and Limitationsmentioning

confidence: 99%

“…Hyperspectral imaging and non-imaging sensors have been proved to be useful tools to detect changes in plant vigour (West et al 2010). Changes in reflectance result from modifications of biophysical and biochemical characteristics of plant tissue.…”

Section: Spectral Signature Of Plant Diseasesmentioning

confidence: 99%

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Recent advances in sensing plant diseases for precision crop protection

et al. 2012

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Near-range and remote sensing techniques have demonstrated a high potential in detecting diseases and in monitoring crop stands for sub-areas with infected plants. The occurrence of plant diseases depends on specific environmental and epidemiological factors; diseases, therefore, often have a patchy distribution in the field. This review outlines recent insights in the use of non-invasive optical sensors for the detection, identification and quantification of plant diseases on different scales. Most promising sensor types are thermography, chlorophyll fluorescence and hyperspectral sensors. For the detection and monitoring of plant disease, imaging systems are preferable to non-imaging systems. Differences and key benefits of these techniques are outlined. To utilise the full potential of these highly sophisticated, innovative technologies and high dimensional, complex data for precision crop protection, a multi-disciplinary approach-including plant pathology, engineering, and informatics-is required. Besides precision crop protection, plant phenotyping for resistance breeding or fungicide screening can be optimized by these innovative technologies.

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Section: Spectral Signature Of Plant Diseasesmentioning

confidence: 99%

Section: Precision Crop Protection As a Part Of Precision Agriculturementioning

confidence: 99%

Section: Sensors-innovations and Limitationsmentioning

confidence: 99%

Section: Spectral Signature Of Plant Diseasesmentioning

confidence: 99%

See 2 more Smart Citations

Recent advances in sensing plant diseases for precision crop protection

et al. 2012

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“…Spore traps to capture ascospores have been available for many years, but analysing spore traps using conventional microscopy is both time-consuming and difficult. Combining spore traps with qPCR methods has allowed a number of studies to assess the importance of such dispersal mechanisms in a number of pathosystems, with such information also being used to inform epidemiological models [55].…”

Section: Molecular Detection and Quantification Of Crop Pathogensmentioning

confidence: 99%

Assessing the Consequences of Microbial Infection in Field Trials: Seen, Unseen, Beneficial, Parasitic and Pathogenic

Looseley

Newton

2014

Agronomy

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Microbial infections of crop plants present an ongoing threat to agricultural production. However, in recent years, we have developed a more nuanced understanding of the ecological role of microbes and how they interact with plants. This includes an appreciation of the influence of crop physiology and environmental conditions on the expression of disease symptoms, the importance of non-pathogenic microbes on host plants and pathogens, and the capacity for plants to act as hosts for human pathogens. Alongside this we now have a variety of tools available for the identification and quantification of microbial infections on crops grown under field conditions. This review summarises some of the consequences of microbial infections in crop plants, and discusses how new and established assessment tools can be used to understand these processes. It challenges our current assumptions in yield loss relationships and offers understanding of the potential for more resilient crops.

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