sugarcane

30 Pages·2015·4.96 MB·English

by  Roberto Romani

Digital Infrastructure and Novel Computational Methods
for Analyzing and Mining Climate and Remote Sensing
Large Databases to improve Agricultural Monitoring and
Forecasting
Luciana Alvim S. Romani (PI)
Embrapa Agricultural Informatics
Jurandir Zullo Jr. (Co-PI)
Cepagri/Unicamp
Campinas, SP
(2015-2016)
Motivation
Big data from Agrometeorology  challenges to
Computer Science  improvements in Agriculture
diversity of available data,
including several diverse
scales, long-term series,
platform to integrate
computer scientists and
agrometeorologists
Teamwork
Institutions:
Related projects:
2002- 2015
2011 - 2014
2010 - 2012
Goals
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Expected results from Agrocomputing.net
Organize and integrate data from meteorological stations, climate
1.
change scenario models and remote sensors into a single platform,
which can also be applied to other related systems;
Develop data mining and fractal correlation techniques to analyze
2.
time series of climate and satellite images;
Develop classification methods to be applied to high and medium
3.
spatial resolution satellite images;
Evaluate climate fitness in the productive coffee areas with
4.
altimetry data and future scenario models;
Develop methods for temporal monitoring of sugarcane crops using
5.
images with low spatial and high temporal resolution.
Different data source
Decentralized storage
Improvement
Images of
computational
methods
Data from
Climate
models
Data
Improvement of
agrometeorological
models
Challenges
Sources of data
Deal with very large and heterogeneous
data sources in acceptable time (knowledge
for decision making)
DSpace
Climate models
Satellite Images
Eta 20 Km and 10 Km
Low, Medium and High
Source: CPTEC/INPE
Spatial Resolution
Source: NOAA, MODIS,
RapidEye, LandSat, Geoeye
Meteorological stations
Agritempo
Source: Embrapa and Cepagri/Unicamp

Data management policy
Team is defining the policy

◦ Free access to data
◦ Use license
◦ Embrapa Agricultural Informatics will be responsible
 to maintain the infrastructure and databases generated in
this proposal
 to guarantee free access for anyone intending to conduct
research on this field, as has been made for Agritempo (12
years) and others repositories.
PRELIMINARY RESULTS