Identification of Lesser Cornstalk Borer-attacked Maize Plants using Infrared Images

Zandonadi, Rodrigo Sinaidi; Pinto, Francisco; Sena, Darly Geraldo de; Queiroz, Daniel Marçal de; Viana, P. A.; Mantovani, Evandro Chartuni

doi:10.1016/j.biosystemseng.2005.05.002

Cited by 11 publications

(5 citation statements)

References 8 publications

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“…The combined use of thermal and chlorophyll fluorescence imaging thus can aid in accurately quantifying the damage caused by insect pests. As a possible complementary technique, near infrared reflectance (NIR) imaging is particularly suitable for field applications to differentiate vegetation from background (soil), and has been applied in a machine vision system to detect insect infestations in maize, based on the inhibition of leaf growth (reduced leaf area) (Zandonadi et al, 2005).…”

Section: Biotic Stressesmentioning

confidence: 99%

Monitoring and screening plant populations with combined thermal and chlorophyll fluorescence imaging

Chaerle

Leinonen

Jones

et al. 2006

Journal of Experimental Botany

213

113

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Thermal and chlorophyll fluorescence imaging are powerful tools for the study of spatial and temporal heterogeneity of leaf transpiration and photosynthetic performance. The relative advantages and disadvantages of these techniques are discussed. When combined, they can highlight pre-symptomatic responses not yet apparent in visual spectrum images and provide specific signatures for diagnosis of distinct diseases and abiotic stresses. In addition, their use for diagnosis and for selection for stomatal or photosynthetic mutants, these techniques can be applied for stress tolerance screening. For example, rapid screening for stomatal responses can be achieved by thermal imaging, while, combined with fluorescence imaging to study photosynthesis, they can potentially be used to derive leaf water use efficiency as a screening parameter. A particular advantage of imaging is that it allows continuous automated monitoring of dynamic spatial variation. Examples of applications include the study of growth and development of plant lines differing in stress resistance, yield, circadian clock-controlled responses, and the possible interactions between these parameters. In the future, such dual-imaging systems could be extended with complementary techniques such as hyperspectral and blue-green fluorescence imaging. This would result in an increased number of quantified parameters which will increase the power of stress diagnosis and the potential for screening of stress-tolerant genotypes.

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Section: Biotic Stressesmentioning

confidence: 99%

Monitoring and screening plant populations with combined thermal and chlorophyll fluorescence imaging

Chaerle

Leinonen

Jones

et al. 2006

Journal of Experimental Botany

213

113

View full text Add to dashboard Cite

show abstract

“…Many studies have reported the use of thermal imaging and/or infrared thermometry to detect abiotic stresses in diverse field crops: grapevine (Baluja et al, 2012;Fuentes, De Bei, Pech, & Tyerman, 2012), citrus (Ballester, Jim enez-Bello, Castel, & Intrigliolo, 2013; García-Tejero, Dur an-Zuazo, Muriel-Fern andez, & Jim enez-Bocanegra, 2011), persimmon trees (Ballester et al, 2013), almond trees (García-Tejero et al, 2012), bean (Durigon & van Lier, 2013), cotton (Padhi, Misraa, & Payerob, 2012), maize (Zandonadi et al, 2005), oak (Grant et al, 2010), strawberries (Grant et al, 2012 Daily mean canopy temperature, C T c,midday Daily midday canopy temperature, C DT Differences between T c,max and T c,min, C (T c ÀT a ) min Daily minimum differences between canopy and air temperatures, C (T c ÀT a ) max Daily maximum differences between canopy and air temperatures, C (T c ÀT a ) m Daily mean differences between canopy and air temperatures, C (T c ÀT a ) midday Daily midday differences between canopy and air temperatures, C D(T c ÀT a ) Differences between (T c ÀT a ) max and (T c ÀT a ) min, C VPD Vapour pressure deficit, kPa J stem Stem water potential, MPa J 100s…”

Section: Introductionmentioning

confidence: 98%

Sensitivity of thermal imaging and infrared thermometry to detect water status changes in Euonymus japonica plants irrigated with saline reclaimed water

Gómez-Bellot

Tortosa

Sánchez-Blanco

et al. 2015

Biosystems Engineering

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“…Since, the experts for diagnosis may not available everywhere, many diagnostic expert systems have been developed in the past (Airu, 1999;Boyd and Sun, 1994;Caristi et al, 1987;Cirio et al, 1998;Donahue et al, 1991;Ghosh and Samanta, 2003;Kramers et al, 1998;Latin and Rettinger, 1987;Lopez-Morales et al, 2008;Mahaman et al, 2003;Mansingh et al, 2007;Michalski et al, 1983;Sanchez et al, 1993;Wang et al, 2005;Yialouris and Sideridis, 1996;Yialouris et al, 1997;Zandonadi et al, 2005;Zhang et al, 1993).…”

Section: Expert Systemmentioning

confidence: 99%

Design and development of web enabled fuzzy expert system using rule advancement strategy

Solanki

Kumar

2017

IJISDC

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This paper reports a new approach for providing intelligence in the expert system for diagnosis of diseases for rose flower. It describes the development of a web-based intelligent disease diagnosis system. This expert system is based on a fuzzy logic approach and the Euclidean distance method. This approach is based on rule advancement strategy. This approach enables the drawing of inferences with the enhanced intelligence. This approach is used in the existing fuzzy technique for inferencing in expert system. The proposed expert system incorporates new features: 1) development of knowledge management platform; 2) dynamic knowledge base creation strategy. The dynamically prompted rules are derived from those diagnosis sessions which resulted in successful decisions. This enables more efficient decision-making in the future sessions; 3) dynamic knowledge acquisition; 4) explanation facility which incorporates the rule firing history and rule explanation generator. This expert system gives an acceptable diagnosis of diseases. The inferences are drawn faster compared to traditional approaches. The proposed expert system which is based on rule advancement strategy has been tested for flower rose.Keywords: expert system; dynamic knowledge base; rule advancement strategy; RAS; fuzzy logic; PHP; knowledge management platform; KMP.Reference to this paper should be made as follows: Solanki, A. and Kumar, E. (2017) 'Design and development of web enabled fuzzy expert system using rule advancement strategy', Int.

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Identification of Lesser Cornstalk Borer-attacked Maize Plants using Infrared Images

Cited by 11 publications

References 8 publications

Monitoring and screening plant populations with combined thermal and chlorophyll fluorescence imaging

Monitoring and screening plant populations with combined thermal and chlorophyll fluorescence imaging

Sensitivity of thermal imaging and infrared thermometry to detect water status changes in Euonymus japonica plants irrigated with saline reclaimed water

Design and development of web enabled fuzzy expert system using rule advancement strategy

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