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AGRICOLUS and IoT making precision farming easier Andrea Cruciani – TeamDev / Agricolus Ana Sancho - Libelium
AGRICOLUS and IoT
making precision farming easierAndrea Cruciani – TeamDev / Agricolus
Ana Sancho - Libelium
Who we are…
• TeamDev, software and applications development company boasts vast experience in geographic sciences, tailor-made solutions for any kind of organization targeting small to large companies, profit and non-profit sectors and government.
• TeamDev management team consist of an interdisciplinary group bringing together complementary competencies from different fields (ICT, GIS, Economics, Social Science, and Agronomics).
• TeamDev has 5+ years of experience in precision farming and founded the first Italian industrial precision farming cluster and operates a research collaboration with the Agriculture University of Perugia and Sant’Anna di Pisa. Thanks to company funding and European Projects, we developed AGRICOLUS suite for smart farming services.
Values for users
Less stress Costs reduction
More productivity
Reduced environmental impact
Quality control Real time feedback
AGRICOLUS helps users to optimize agricultural
management operations
Used technology
• The software uses ESRI’s GIS (ArcGIS Online) technology.
• This allows to place geographically all information relating
to crops, with extreme precision.
• AGRICOLUS is also based on Microsoft Azure technology.
FI-WARE IoT Architecture
A dedicated solution of AGRICOLUS
OLIWES is a vertical application of AGRICOLUS for Olive’s Farmers, a Decision Support Sistem that supports operators against diseasesaffecting olive groves and in particular “olive fruit fly”. It consists of a web and a mobile app, that allows to collect data from fields and elaborate forecasting models about pests diffusion.
OLIWES provides a concrete support for:
monitoring olive grove;
evaluating olive grove infestation degree and reduce losses;
recording data about infestation in order to elaborate phytosanitarybullettins;
allowing experts, administrators and other stakeholders to share news and information with farmers through a warning system.
OLIWES WARNING ENTERPRISE SUITE
Ana Sancho - Libelium
Monitoring weather
conditions to prevent
pest in olives
Agriculture Hardware Solution by
• Reduce fertilizer costs
• Reduce chemical application costs
• Reduce pollution through poor use of
chemicals.
• Improve crop yields
• Provide better information for
management decisions
• Improving resource efficiency
Usability and synchronization across devices
Meteo Web Service
Geographic information
Pest monitoring
Cloud Computing
Spatial analysis
Farmers Engagement
Mobile
Web
Forecasting models
OLIVE FRUIT FLY (Bactrocera oleae)
Is a serious pest of olives.The larvae of the olive fruit fly attack
olive fruits causing two types ofdamages:
• Quantitative the damage iscaused by larvae of second andespecially third stages, by theremoval of the significantproportion of the pulp which as aconsequence results in reductionin the yield of olives.
• Qualitative aspect is thesignificant deterioration in thequality of the oil high acidity leveland a lower shelf life as it has ahigher peroxide value.
PREDISPOSITION FACTORS
The main ones are climatic(temperature and rainfall), so marked differences can occur fromyear to year and from differentplots. For this is important to monitoring specific climaticconditions.
MONITORING OLIVE FRUIT FLY
allows to collect data about specific olive fruit flydiffusion parameters:
• adult insects captured with traps;
• count of larvae in drupes;
• weather fixed stations and sensors placed in the field forevaluating specific climatic condition (temperature, humidity,..).
MODELS TO PREVENT OLIVE FRUIT FLY
generates predictive probabilitymodels.
Models are algorithms based on weather data collected by sensors installed in the plots, insect captured and larvae in drupes.
Information provided for each plot is related to:
• probability of plant pathogen development;
• probability of plant pathogen fertility;
• probability of plant pathogen mortality.
ADVANTAGES
• Information for intervening on time.
• More chances to save product in case of pathogen attack.
Thank you!
Making precision farming easier
Let's build a smarter worldTogether
