Predictive Modeling and RiskAssessment

Costa, Rui; Kristbergsson, Kristberg; ISEKI-Food,

doi:10.1007/978-0-387-68776-6

2009

DOI: 10.1007/978-0-387-68776-6

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Predictive Modeling and RiskAssessment

Rui Costa¹,

Kristberg Kristbergsson²,

ISEKI-Food ISEKI-Food³

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Cited by 5 publications

(1 citation statement)

References 103 publications

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“…Plague and disease control in agriculture is done basically through the application of synthetic products (agrochemicals), which may cause serious environmental and toxicological problems, exposing the environment and humans to many risks, being sometimes serious pollutants for many agroecosystems [3]. Aiming to reduce the use of synthetic pesticides and the risks to operators, it is possible to replace the use of chemicals by employing treatments with bioprotectors.…”

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confidence: 99%

Evaluation of Maize Seeds Treated with Trichodermil® through Biospeckle

Silva¹,

Peixoto²,

Fujii³

et al. 2018

JAST-B

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Abstract:The present work aimed to study the treatment with the bioprotector Trichoderma harzianum on maize seeds immediately after treatment and during storage. Maize seeds were analyzed through germination test, vigor tests (cold test, accelerated aging and aerial length), and the viability of the treated seeds was verified through the biospeckle. Seed treatment is recommended because approximately 90% of crops intended for human and animal feeding are seed-propagated. A pathogen present in the seed results in increased diseases in the adult plant, in addition to introducing pathogens in other areas. So the seed treatment can provide better results than chemicals disease control on plants. Bioprotectors have antagonistic fungi that produce metabolites and enzymes that will avoid the proliferation of phytopathogenic fungi. Among the bioprotectors, Trichoderma spp., used for phytosanitary control of seeds, stands out. The tests were carried out with treatment in order to evaluate the physiological potential caused by the treatment with the bioprotector. The biospeckle experimental runs were performed in parallel with the sanitation test. The germination percentages of 93.0%, 87.5%, and 87.5%, respectively, showed that they were all above the minimum requirement for commercialization, which is 85%. Analyzing the vigor and sanitation tests, it was verified that the best treatment was on day zero. Among the seeds analyzed through biospeckle, using the laser speckle contrast analysis (LASCA) technique, it was possible to identify fungi activity.

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mentioning

confidence: 99%

Evaluation of Maize Seeds Treated with Trichodermil® through Biospeckle

Silva¹,

Peixoto²,

Fujii³

et al. 2018

JAST-B

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What risk assessments can tell us about setting criteria

Whiting

2011

Food Control

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Computational Uncertainty Management for Coastal Flood Prevention System

Kalyuzhnaya

Boukhanovsky

2015

Procedia Computer Science

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Multivariate and progressive uncertainty is the main factor of accuracy in simulation systems. It can be a critical issue for systems that forecast and prevent extreme events and related risks. To deal with this problem, computational uncertainty management strategies should be used. This paper aims to demonstrate an adaptation of the computational uncertainty management strategy in the framework of a system for prediction and prevention of such natural disasters as coastal floods. The main goal of the chosen strategy is to highlight the most significant ways of uncertainty propagation and to collocate blocks of action with procedures for reduction or evaluation of uncertainty in a way that catches the major part of model error. Blocks of action involve several procedures: calibration of models, data assimilation, ensemble forecasts, and various techniques for residual uncertainty evaluation (including risk evaluation). The strategy described in this paper was tested and proved based on a case study of the coastal flood prevention system in St. Petersburg.

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Predictive Modeling and RiskAssessment

Cited by 5 publications

References 103 publications

Evaluation of Maize Seeds Treated with Trichodermil® through Biospeckle

Evaluation of Maize Seeds Treated with Trichodermil® through Biospeckle

What risk assessments can tell us about setting criteria

Computational Uncertainty Management for Coastal Flood Prevention System

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