Mobile
Smartphone apps for agro-environmental research
A family of apps allowing to use your smartphone or tablet to estimate biophysical variables of interest for agro-environmental research
Our models
Applications implementing cropping system models
Powerful simulation engines implemented in friendly desktop applications for reproducing cropping system behaviour and for ideotyping studies.
Model components
Build your own modelling solutions
Software libraries for crop growth, soil hydrology, impact of diseases and weather extremes, grain quality, crop suitability, agroclimatic zonations, assimilation of satellite data.
Our researches
Innovative solutions for agroenvironmental studies
Analysis of agroenvironmental systems at different scales and development of IT solutions for monitoring, forecasting, scenario analysis and management support
WARM 2
- WARM 2 is the new Cassandra environment to run rice simulations
Product Manager: Roberto Confalonieri
ISIde
- ISIde is an application for district-specific in silico ideotyping studies
Product Manager: Livia Paleari
SISSI
- SISSI implements the visual jackknife method for optimal sample size determination
Product Manager: Roberto Confalonieri
CropML
- CropML is a framework-independent component implementing a variety of approaches for crop growth
Product Manager: Roberto Confalonieri
Diseases
- A software component to simulate plant-pathogen interactions
Product Manager: Marco Foi
SoilW
- A software library implementing different approaches for soil hydrology simulation
Product Manager: Marco Foi
PocketLAI
- PocketLAI is the first mobile app for leaf area index (LAI) estimates
Product Manager: Roberto Confalonieri
PocketVJ
- A mobile app for optimal sample size determination based on the visual jackknife method
Product Manager: Roberto Confalonieri
PocketN
- Smart app for the estimation of plant nitrogen content
Product Manager: Roberto Confalonieri
2016 - Environ Modell Soft
- Uncertainty in crop model predictions: What is the role of users?
Confalonieri et al.
2017 - Glob Change Biol
- Surfing parameter hyperspaces under climate change scenarios to design future rice ideotypes.
Paleari et al.
2016 - Ecol. Model.
- Quantifying uncertainty in crop model predictions due to the uncertainty in the observations used for calibration.
Confalonieri et al.
2014 - Ecol Model
- CoSMo: a simple approach for reproducing plant community dynamics using a single instance of generic crop simulators.