This document discusses trends in using information and communication technologies (ICT) in agriculture. It notes that agronomists working with informatics can help foster a revolution through techniques like remote sensing from satellites, machine learning, and data mining of "big data" to gain insights. This can help optimize site-specific management practices and climate-smart agriculture. The emerging field of "A-geek-ulture" uses ICTs like sensors, drones, and satellites to collect big data that can then be analyzed using various statistical and machine learning methods to address agricultural challenges and improve yields, especially for small-scale farmers.

1. Daniel Jiménez R.
d.jimenez@cigar.org
@drdarijiro
Trends for tomorrow:
Fostering a
Revolution in
Agriculture
ICT for Agriculture June 10th
Washington DC
#ICTforAg

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Agronomists + Informatics = Agronomicians!!!
Satellite
DSM

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Air-truth and ground-truth information
Satellite imagery - Remote sensing

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Air-truth and ground-truth information

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“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”

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Agriculture Embracing the IoT Vision

8. - 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

9. Yield
Numberofplots
What it actually is…
Small- scale farmers? Not always normal distribution !
Data Mining
Yield
Numberofplots
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)
Yield(kg/ha)
Crop management- rice in Nicaragua- Farm Miramontes
Yield(Tons/ha)
Days maximum temperature above 34 C
Climate in rice - Uruguay- Casarone Mill

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Nitrogen rate wheat trial in Cambridge- Newcastle University
Business as usual

12. Climate Soil Crop
management Productivity
/Quality
Site-specific
information
 Yield and quality limiting
factors
 favorable/unfavorable
Climatic patterns
 Optimal site-specific
management practices
Fostering a revolution in Data-Driven Climate Smart Agriculture
A complementary bottom-up approach:
Information from commercial fields

13. Amount of chemical Fertilizer (Kg/ha)
Yield(Kg/ha)
25 – 30 kg P /ha right amount for maize
plants in Córdoba.
Amount of P (kg/ha)
Yield(kg/ha)
Total amount of P
The case of maize in Córdoba and Beans in Santander (Colombia )
YieldKg/Ha
Amount of chemical Fertilizer Kg/Ha
Why more than 300 kg Fertilizer /ha
for Beans in Santander Colombia?

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Site-Specific breeding

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Democratization

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Fostering a new revolution in agriculture
R(e)volution
• Breeding
Green Biotech
Data-
driven
• Agro-chemicals
• Molecular
biotechnology
• ICTs
• IoT
• Satellites-Drones
• Big Data
• Data-Driven CSA
• Site-specific breeding
2025

17. 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").

18. Thank you!!!

19. #ItsColombiaNotColumbia

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A data revolution in agriculture