Abstract

ABSTRACT
Sri Lanka’s Agricultural Data Crisis: The Need for
Sustainable Capacity Development and
Digital Agriculture
(Total words 743)
Sri Lanka’s recent economic collapse is one of the most severe crises in its post-independence
history. While often described in financial or debt terms, its roots are deeply embedded in the
agricultural sector. Agriculture—once a backbone of the economy and rural livelihoods—has
suffered from decades of structural economic imbalances, policy missteps, production and market
failures, institutional corruption, weak governance, rising external debt, and environmental
vulnerabilities. These systemic challenges have undermined the sector’s resilience and
sustainability. At the core lies a less visible but equally critical issue: the chronic weakness of Sri
Lanka’s agricultural statistics system. Reliable, timely, and comprehensive data is essential for
planning, policymaking, resource allocation, disaster preparedness, and market forecasting. Yet,
statistical capacity in agriculture remains fragmented, outdated, and poorly aligned with present
needs.
Agricultural statistics cover crop production, livestock management, land use, farm economics,
input usage, environmental impacts, and food security metrics. They form the evidence base for
decisions affecting food production, farmer incomes, nutrition, public health, and environmental
sustainability. Without accurate and accessible data, agricultural policies risk being reactive,
misinformed, or politically driven, leading to inefficiencies and unintended consequences. The
2021 fertilizer ban illustrates the dangers of abrupt national policy changes without robust data
support. With climate change increasing production risks, the need for real-time, digitally enabled
agricultural statistics is more urgent than ever to reduce food shortages and avert further economic
instability.
This paper argues that sustainable agricultural development in Sri Lanka requires strengthening
the statistical infrastructure that supports it. It calls for renewed investment in capacity
development, institutional reform, and the adoption of digital agriculture technologies to
modernize data collection, analysis, and dissemination. Recognizing its importance, the
Government has prioritized digital agriculture to improve productivity, sustainability, and
evidence-based decision-making. A modernized, digitally inclusive agricultural data system can
help rebuild resilience, inclusivity, and long-term food security.
The study examines why Sri Lanka has failed to build a sustainable agricultural statistics system
and identifies the urgent need for strong capacity development and a modern digital agricultural
data system to prevent future crises. It addresses three key questions:
(1). How have weaknesses in the current agricultural statistics system contributed to poor policies
and sectoral problems after the crisis?
(2). What reforms and capacity-building steps are needed to create a reliable, integrated
agricultural data system?
(3). How can digital agriculture technologies improve data systems, strengthen policymaking, and
ensure resilience and food security?
2
Agricultural data is collected by multiple government agencies. Main responsibility lies with the
Department of Census and Statistics under the Ministry of Finance, Planning and Economic
Development, and the Ministry of Agriculture, Livestock, Land and Irrigation. Other contributors
include the Central Bank, Department of Agriculture, Department of Irrigation, Department of
Lands, Department of Agrarian Development, Agrarian Research and Training Institute, and the
Mahaweli Development Authority, among others. However, the large number of actors creates
serious issues:
• Conflicting figures from different sources
• Repetition in data collection
• Questionable accuracy
• Inconsistent timeframes
• Lack of coordination and unified standards
The urgent need is to create a unified, multi-dimensional national agricultural data system with
strong capacity development to avoid future agricultural and food crises. Given the nature of the
topic and Sri Lanka’s current economic and agricultural conditions, the study mainly uses
qualitative methods. It draws on secondary data from literature reviews and primary data collected
in selected ministries, departments and institutions. Sources include:
1. Secondary data – Published and unpublished documents from government and non
government bodies, both local and international.
2. Primary data – Gathered through stakeholder engagement at farm level and visits to
relevant institutions.
An innovative participatory tool, Rapid Rural Appraisal (RRA), was used to quickly capture local
realities and challenges. This method enables community members to express views freely,
offering insights that conventional surveys might miss. The qualitative approach limited
quantitative data, and focus on selected organization mean the findings are exploratory but provide
valuable direction for future research in agronomy, environmental science, and socioeconomics.
The study highlights that strengthening Sri Lanka’s agricultural statistics system is vital for
informed policymaking, sector resilience, and food security. It identifies the need for integrated
capacity development, institutional reforms, and the adoption of digital agriculture technologies to
ensure timely, reliable, and accessible data. Addressing current weaknesses and embracing digital
transformation will allow Sri Lanka to shift from reactive, politically driven policies toward
evidence-based decision-making—enhancing productivity, sustainability, and climate resilience.
The findings also provide a basis for future quantitative research and can guide broader agricultural
reforms in other developing economies facing similar data challenges.