dj ict4 ag_2016_en_twitter
TRANSCRIPT
Daniel Jiménez R.
@drdarijiro
Trends for tomorrow: Fostering a
Revolution in Agriculture
ICT for Agriculture June 10th
Washington DC
#ICTforAg
6
“Big data is an umbrella term used to characterize the
growing amounts of data that may be analyzed to reveal insights that were previously unknown”
- Multiple linear regression (OLS)
- Factorial analysis (PCA, MCA, CATPCA…)
- Generalized linear model
- Mixed Models
- Time series
Traditional methods
Methods based on machine, deep learning
- Supervised and unnsupervised ANNS (MLP, SOM)
- Random Forest
- C-Forest
- Genetic Algorithms
Data Mining
Yield
Nu
mb
er
of
plo
ts
What it actually is…
Small- scale farmers? Not always normal distribution !
Data Mining
YieldNu
mb
er
of
plo
ts
What people think it is…
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Kohonen maps- Optimal values of effective soil depth associated with high yields Freq Temp Max ^34C
Amount of seeds (Kg/Ha)
Yie
ld(k
g/h
a)
Crop management- rice in Nicaragua- Farm Miramontes
Yie
ld(T
on
s/h
a)
Days maximum temperature above 34 C
Climate in rice - Uruguay- Casarone Mill
Climate Soil Cropmanagement Productivity
/Quality
Site-specificinformation
Yield and quality limitingfactors
favorable/unfavorableClimatic patterns
Optimal site-specific management practices
Fostering a revolution in Data-Driven Climate Smart Agriculture
A complementary bottom-up approach:Information from commercial fields
Amount of chemical Fertilizer (Kg/ha)
Yiel
d (
Kg
/ha)
25 – 30 kg P /ha right amount for maize plants in Córdoba.
Amount of P (kg/ha)
Yie
ld (
kg/h
a)Total amount of P
The case of maize in Córdoba and Beans in Santander (Colombia )
Yie
ldK
g/H
a
Amount of chemical Fertilizer Kg/Ha
Why more than 300 kg Fertilizer /ha for Beans in Santander Colombia?
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Fostering a new revolution in agriculture
R(e)volution
• Breeding
Green BiotechData-driven
• Agro-chemicals• Molecular
biotechnology
• ICTs• IoT
• Satellites-Drones• Big Data
• Data-Driven CSA• Site-specific breeding
2025
The emerging field of "A-geek-ulture" complements traditional agricultural research by
using ICTs to help address key agricultural challenges. It is often undertaken by scientists with
an unusually keen interest in statistics and new technology ("geeks").