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Exploring the role of data in agricultural sector
in Uganda
Agriculture in Uganda
IS DATA RELEVANT TO SMALL
HOLDER FARMING COMMUNITIES


November 2021
Uganda
Data can be defined as facts or figures
What is Data?
Types of Data
Public intent data Private intent data


Data collected by
private entities like
data and research
firms/ institutions
Data collected by
private entities like
Census, national
accounts, household
surveys, enterprise
surveys
80%
of the farming community is comprised of
are catergorised as small holder farmers
Agriculture is the major source of livelihood in
Uganda.
72%
of the population are employed by the agricultural
sector
Data and Agriculture


Data and Agriculture
Combining data from surveys and satellites to provide highly localized crop yield
estimates across entire regions and countries
Measurement agricultural productivity is
central to policies and programs to eliminate
extreme poverty since small holder farmer
communities rely on their land as a source of
livelihood
Data can provide farmers granular data on rainfall patterns, water cycles enabling
farmers to make better decisions that improve farm yields,
Data can support close monitoring of pesticide use so farmers can adhere to
government regulations and avoid overuse of chemicals in food production
Data can be used in management of supply chains bridging the gap between supply
from the farmers and market demand help achieve supply chain efficiencies by
tracking and optimizing delivery truck routes.
Investment climate that is conducive to attracting high-quality, responsible investment
in data enable investors to survive, to thrive, and to contribute to the local population
Data systems and data use strategies are published, accessible, activated, and
budgeted and have transparent performance metrics
Investments in agricultural strategies require transparent performance metrics.
National strategies articulate the governmental data vision and are invested in by the
government.
Dedicated in-country financing mechanisms are in place.
Reasonable political stability, reliable electricity, minimum standard internet connectivity,
and server infrastructure (with backup sources accessible when needed) are in place
Agricultural workers at all levels are able to access the tools they need to analyze and use
data effectively.
Adequate technical support, ICT capacity, and maintenance systems exist locally
Encryption tools and guidance are standardized and implemented to ensure data privacy
and security.
IS DATA RELEVANT TO SMALL
HOLDER FARMING COMMUNITIES
November 2021
Uganda
Policies that can support the culture of data in agriculture
Data Use Culture
Strategy and Investment
Infrastructure
Formal policymaking processes require and are based on evidence and data.
Integrated processes exist to develop evidence-based policies across ministries.
Policymakers adopt comprehensive, evidence-based policies that strengthen digital
agricultural systems.
National legislation establishes an enabling digital environment.
Clearly published processes exist for auditing compliance, with penalties for noncompliance.
A national agricultural plan establishes data use as a pillar
Legislation and Compliance

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Final assignment

  • 1. Exploring the role of data in agricultural sector in Uganda Agriculture in Uganda IS DATA RELEVANT TO SMALL HOLDER FARMING COMMUNITIES November 2021 Uganda Data can be defined as facts or figures What is Data? Types of Data Public intent data Private intent data Data collected by private entities like data and research firms/ institutions Data collected by private entities like Census, national accounts, household surveys, enterprise surveys 80% of the farming community is comprised of are catergorised as small holder farmers Agriculture is the major source of livelihood in Uganda. 72% of the population are employed by the agricultural sector Data and Agriculture Data and Agriculture Combining data from surveys and satellites to provide highly localized crop yield estimates across entire regions and countries Measurement agricultural productivity is central to policies and programs to eliminate extreme poverty since small holder farmer communities rely on their land as a source of livelihood Data can provide farmers granular data on rainfall patterns, water cycles enabling farmers to make better decisions that improve farm yields, Data can support close monitoring of pesticide use so farmers can adhere to government regulations and avoid overuse of chemicals in food production Data can be used in management of supply chains bridging the gap between supply from the farmers and market demand help achieve supply chain efficiencies by tracking and optimizing delivery truck routes.
  • 2. Investment climate that is conducive to attracting high-quality, responsible investment in data enable investors to survive, to thrive, and to contribute to the local population Data systems and data use strategies are published, accessible, activated, and budgeted and have transparent performance metrics Investments in agricultural strategies require transparent performance metrics. National strategies articulate the governmental data vision and are invested in by the government. Dedicated in-country financing mechanisms are in place. Reasonable political stability, reliable electricity, minimum standard internet connectivity, and server infrastructure (with backup sources accessible when needed) are in place Agricultural workers at all levels are able to access the tools they need to analyze and use data effectively. Adequate technical support, ICT capacity, and maintenance systems exist locally Encryption tools and guidance are standardized and implemented to ensure data privacy and security. IS DATA RELEVANT TO SMALL HOLDER FARMING COMMUNITIES November 2021 Uganda Policies that can support the culture of data in agriculture Data Use Culture Strategy and Investment Infrastructure Formal policymaking processes require and are based on evidence and data. Integrated processes exist to develop evidence-based policies across ministries. Policymakers adopt comprehensive, evidence-based policies that strengthen digital agricultural systems. National legislation establishes an enabling digital environment. Clearly published processes exist for auditing compliance, with penalties for noncompliance. A national agricultural plan establishes data use as a pillar Legislation and Compliance