Plant Protection Information Plant Protection Information Systems for Public use in Systems for Public use in

Slovenia Slovenia –– use of use of meteorological information'smeteorological information's

StanislavStanislav GombocGomboc11, , TomazTomaz SeliskarSeliskar22, , VlastaVlasta KnapicKnapic11, , AndrejAndrej HocevarHocevar22

11Phytosanitary Phytosanitary AdninistrationAdninistration ofof RS, RS, 2 2 BiotechnicalBiotechnical facultyfaculty, , DepDep. . forfor AgronomyAgronomy, Ljubljana, , Ljubljana, SloveniaSlovenia

Plant protection information systems in Slovenia:

• Information systems for public use– Plant protection products– Plant protection related legislation– Organisms names, descriptions, pictures, ...– Forecast information's– Important information for plant producers – news– All other information regarded to plant protection...

http://www.bf.uni-lj.si/ag/fito/ & http://www.fito-info.bf.uni-lj.si

Organisation of Slovenian Forecasting ServiceOrganisation of Slovenian Forecasting Service• It is organised on regional level in the main agricultural areas

• It is under the coordination of PhytosanitaryAdministration of the Republic of Slovenia

• Each regional service issues they regional forecasts for their region except which covers the whole country

• Each centre use their one equipment and tools to get the best forecast for his one region (meteorological stations, pheromone traps, observation of disease development and use of computer forecasting models).

• Forecast information's are issued on radio news, telephone answer machines, published news, in prognostic information system, which inform the users about the forecasting information's.

Forecasting information system Forecasting information system –– real time information real time information sharing:sharing:

- Web application for publishing of forecast news (centres)- Information's for farmers available in real time as:

- www- e-mail- SMS short mobile phone massages

Forecasting news are published when needed for different Forecasting news are published when needed for different categories:categories:

-- agricultureagriculture-- fruit growingfruit growing-- wine productionwine production-- vegetablesvegetables-- hop growinghop growing-- normalnormal newsnews, , meetingsmeetings-- and some other minor and some other minor categoriescategories

EquipmentEquipment

•• Internet connection with personal computersInternet connection with personal computers•• Answering machinesAnswering machines•• More than 80 automatic More than 80 automatic AdconAdcon meteorological stations meteorological stations •• Prognostic models softwarePrognostic models software•• Pheromone traps and other baits for pestsPheromone traps and other baits for pests•• Machines for catching of sporesMachines for catching of spores•• Cars for crops observations Cars for crops observations •• Growers network for local pest and disease observationGrowers network for local pest and disease observation

CentresCentres ofof ForecastingForecasting andand prognosticprognostic serviceservice withwith receiversreceiversfromfrom AdconAdcon meteorologicalmeteorological stationsstations

MS SQL server for central data storageand data manipulation (internet,

forecasting models)

2,5 millions of measurement data per year, measurements each 15 min

OwerwiewOwerwiew ofof realreal timetime datadata• Meteorological data available on internet with one hour delay for each station

• Available summary data for each station• Additional data to position and statistic of meteorological stations

• Available forecasting models for main diseases and pests for each station

Information system for agrometeorological data - Client server application

Information system for agrometeorological data - Client server applicationSome Some ExamplesExamples Station data with description, location,

sensors, replacments of sensors, and othermaintainence data.

Information system for agrometeorological data - Client server applicationOverview - monthly data

Statistics of stations efficiencyStatistics of stations efficiency

Information system for agrometeorological data - Client server application

Forecasting model for issuing of forecasting informationForecasting model for issuing of forecasting information

METEOROLOGICAL DATA

PHENOLOGICAL DATA

FORECASTING MODEL

INSECTS OR DISEASES DEVELOPMENT OBSERVATION

YEARS OF EXPIRIENCE

FORECAST

MAIN DISEASES AND PEST FOR WHICH MAIN DISEASES AND PEST FOR WHICH PROGNOSTIC INFORMATION ARE ISSUPROGNOSTIC INFORMATION ARE ISSUEDED

• Plasmopara viticola• Venturia inaequalis• Phytophthora infestans• Uncinula necator• Pseudoperonospora

cubensis• Pseudoperonospora humuli• Erysiphe graminis• Fusarium sp. on cereals andmaize

• Erwinia amylovora• others ...

• Aphididae - aphids• Acarina - mites• Leptinotarsa decemlineata• Oulema melanopus• Cydia pomonella• Cydia molesta• Dacus oleae• Psyllidae on pear• Ostrinia nubilalis• Eupoecilia ambiguella• Lobesia botrana• Rhagoletis cerasi

• Forecast and prognostic service in Slovenia has long tradition (from 1954) and is still very important for Slovenian agriculture.

• Meteorological data are very important input for forecast information but not always sufficient (presence of pest, microclimate, phenology...)

• Real time meteorological data are also very useful for farmer (pesticide treatment – temperature, wind, rainfall, tillage...) and also for other public (army, field workers, sportiest, tourists...)

• The best tool for preparation of good forecast information is combination of meteorological data, models data, field observation and experiences of prognostic officers.

• Information has no use if is not properly distributed (newspapers, answering machines, internet, mails, SMS)