0000000000391742

AUTHOR

Daniela Stroppiana

0000-0002-5619-4305

showing 2 related works from this author

Downstream Services for Rice Crop Monitoring in Europe: From Regional to Local Scale

2017

The ERMES agromonitoring system for rice cultivations integrates EO data at different resolutions, crop models, and user-provided in situ data in a unified system, which drives two operational downstream services for rice monitoring. The first is aimed at providing information concerning the behavior of the current season at regional/rice district scale, while the second is dedicated to provide farmers with field-scale data useful to support more efficient and environmentally friendly crop practices. In this contribution, we describe the main characteristics of the system, in terms of overall architecture, technological solutions adopted, characteristics of the developed products, and funct…

Atmospheric Sciencefood industryMonitoring010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologiesInformation Dissemination02 engineering and technology01 natural sciencesElectronic mailData modelingRemote SensingERMESremote sensingFood IndustryComputers in Earth Sciences021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingDownstream (petroleum industry)agriculture2. Zero hungerData collectionEnd userbusiness.industryEnvironmental resource managementModelingAgriculturemodeling15. Life on landmonitoringAgriculturebusiness
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Advanced methods of plant disease detection. A review

2014

International audience; Plant diseases are responsible for major economic losses in the agricultural industry worldwide. Monitoring plant health and detecting pathogen early are essential to reduce disease spread and facilitate effective management practices. DNA-based and serological methods now provide essential tools for accurate plant disease diagnosis, in addition to the traditional visual scouting for symptoms. Although DNA-based and serological methods have revolutionized plant disease detection, they are not very reliable at asymptomatic stage, especially in case of pathogen with systemic diffusion. They need at least 1–2 days for sample harvest, processing, and analysis. Here, we d…

0106 biological sciencesEnvironmental Engineering[SDV]Life Sciences [q-bio]DiseaseBiology01 natural sciences03 medical and health sciencesCommercial kitsVolatile organic compoundsSpectroscopyPlant disease030304 developmental biology2. Zero hunger0303 health sciencesbusiness.industryDNA-based methods Immunological assays Spectroscopy Biophotonics Plant disease Remote sensing Volatile organic compounds Commercial kitsEffective managementExtremely HelpfulRemote sensingPlant diseaseCrop protectionBiotechnologyRisk analysis (engineering)DNA-based methodsImmunological assaysBiophotonicsbusinessAgronomy and Crop Science010606 plant biology & botany
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