Fourth Industrial Revolution

Beyond data: How to unlock agriculture's full potential 

Data is a critical enabler of innovation and efficiency in the agriculture sector.

Data is a critical enabler of innovation and efficiency in the agriculture sector. Image: Unsplash/Getty Images.

Satyanarayana Jeedigunta
Chief Advisor, C4IR India, World Economic Forum
Drishti Kumar
Specialist, Agri-Tech, World Economic Forum, C4IR India
  • Challenges to food security, and climate change, highlight the urgent need for resilient and efficient agri-food supply chains.
  • Agriculture data platforms are transforming India's agri-tech landscape, but data alone cannot drive impact.
  • Driving scalable, sustainable growth in the sector requires an integrated approach across four key dimensions.

Unlocking the potential of digital agriculture could generate an estimated economic value of $65 billion, according to the National Association of Software and Service Companies (NASSCOM). At the heart of this transformation lies data – a critical enabler of innovation and efficiency in the agriculture sector.

For agri-tech start-ups, access to robust datasets is essential to develop cutting-edge solutions such as crop monitoring tools, intelligent advisory apps, and decision-support platforms that streamline agricultural processes and empower farmers. Likewise, for farmers, intelligence drawn from data is indispensable for making informed decisions that enhance productivity, reduce risk, and optimize resource use.

Have you read?

Data platforms can have powerful capabilities to generate real-time insights by a combination of data from across key components of the agriculture ecosystem – including land, soil, seed, crop health, pest prevalence, weather patterns, market trends, and export forecasts. However, agricultural data remains fragmented across multiple departments, agencies, research bodies and private organizations. The inability to combine data in near-real-time impedes innovation and poses a significant barrier to the scalability of agritech solutions.

As the world faces ever-increasing challenges related to food security, climate change, and the urgent need for resilient and efficient agri-food supply chains, the development of interoperable data platforms is more critical than ever.

Data platforms in India

Currently, India is witnessing the emergence of a few innovative data platforms that are paving the way towards data-driven agriculture. Initiatives like Agristack, VISTAAR, Agriculture Data Exchange (ADeX) and Krishi DSS are transforming the sector, each offering distinct value propositions to a diverse range of stakeholders. For example:

  • VISTAAR (Virtually Integrated System to Access Agricultural Resources) is a pioneering initiative by the Ministry of Agriculture to provide smallholder farmers, government and researchers with access to a centralized repository of agricultural resources. The platform seeks to provide real-time advisories to farmers and other stakeholders.
  • AgriStack is a government-led initiative focused on developing a federated database for agricultural data management. The platform comprises of three foundational registries: farmer identity cards, geo-referenced village maps, and crop sown registries. The platform aims to enhance efficiencies of supply chain and enable macro level crop planning.
  • Agricultural Data Exchange (ADeX) was launched in Telangana with support from the World Economic Forum and the Indian Institute of Science. ADeX facilitates secure data exchange between providers and users through standardized formats like AgriJSON. The platform currently hosts 39 datasets covering soil tests, weather patterns, crop trends, and market data. The platform enables agritech startups to develop innovative and customized solutions for farmer’s benefit.
  • Krishi Decision Support System (Krishi-DSS) is a digital platform developed by ISRO and Ministry of Agriculture and Farmers Welfare to provide real-time, location-specific advisories to farmers. It integrates geospatial data, weather information, and crop-specific insights to support agricultural planning and resource optimization.

Given the diversity and complexity of agricultural data, and the technical and operational necessity of a federated data ecosystem, it is likely that several more data platforms with diverse capabilities are likely to be established soon.

Discover

How is the World Economic Forum helping farmers with technology?

Are data platforms sufficient?

As the number of data platforms in agriculture continues to grow, it will be increasingly clear that these platforms, while necessary, are not sufficient by themselves to realize the full potential of digital agriculture. For instance, in the absence of a robust data management framework that facilitates consent-based data sharing, users may hesitate to engage with the platform – ultimately limiting its adoption and impact. Regular updates and improvements to these platforms, especially in the fast-evolving intelligent era, are also essential to maintain user trust and ensure sustained engagement.

To fully unlock the transformative potential of data platforms, a supportive and enabling ecosystem must be developed. This requires coordinated efforts across four key dimensions: business value, technology, project implementation strategies, and legal frameworks. The following section outlines key recommendations for stakeholders – including policy-makers, agritech startups, development organizations, and NGOs – offering actionable insights to support both ongoing and future initiatives.

1. Business value dimension

  • Emphasizes the transformative benefits of data platforms to stakeholders particularly for farmers by enabling informed, data-driven decision-making to improve agricultural productivity and profitability.
  • Data platforms should be built around well-defined use cases to ensure that data sharing is purposeful and clearly tied to the delivery of tangible and high-impact services and outcomes.
  • Policy-makers can offer financial incentives and develop supportive policies for startups and enterprises to leverage data platforms to develop business solutions, thereby ensuring long-term engagement and value creation across the ecosystem.

2. Technology dimension

  • Highlights the importance of robust technological infrastructure and standards in facilitating seamless data exchange, secure storage, and meaningful analysis – critical elements for building trust in agritech systems.
  • A multi-stakeholder approach is needed to establish Digital Public Infrastructure (DPI) suited to meet the generic and specific needs of innovative digital services to be provided to the stakeholders of agri-ecosystem.
  • Governments should promote open APIs and establish interoperability standards to enable plug-and-play architecture for innovators. For instance, standardizing data formats such as AgriJSON implemented in ADeX can significantly enhance system compatibility and innovation.
  • Agritech startups must prioritize cybersecurity by adopting strong encryption protocols, conducting regular audits, and ensuring compliance with data privacy laws. These measures are essential to protect sensitive agricultural data and foster confidence among users.
  • With the prospects of multiple data exchange platforms (DXPs) emerging at national and global levels, it is imperative that an internet protocol that guides the inter-DXP transfer of data.
Four dimensions of a data ecosystem. agriculture

3. Legal dimension

  • Underscores the importance of clear and forward-looking legal frameworks that protect personal data of farmers and other stakeholders and promote ethical practices in data collection, sharing, and use. Building user confidence requires legal clarity and a rights-based approach.
  • Governments should enact adaptive data protection frameworks grounded in individual rights – such as informed consent, data access, and the ability to opt-out. These should be aligned with global standards like the EU’s General Data Protection Regulation (GDPR) and India’s Digital Personal Data Protection (DPDP) Act to ensure global consistency and credibility.
  • A network of regulatory bodies must be established to monitor data governance practices – ensuring responsible collection, sharing, protection, and usage of agricultural data.

4. Project implementation dimension

  • Focuses on the strategic roll-out and continuous improvement of data platforms to maximize impact and scale.
  • Governments can designate a dedicated agency to gather stakeholder feedback and evaluate the long-term impact of data platforms, using evidence-based insights to refine existing strategies.
  • Implementation partners should assign teams responsible for the ongoing maintenance and evolution of data platforms ensuring they remain relevant, user-centric, and aligned with emerging needs.
  • A standardized implementation guide can be developed to provide clear methodologies for impact measurement, promoting transparency, consistency, and accountability in project outcomes.

Developing a data ecosystem

The future of digital agriculture in India, and other developing countries hinges on the smart and strategic use of agricultural data platforms. These platforms hold immense potential – not only to transform farming but also to scale globally and catalyze broader impact across agricultural systems.

However, platform visibility alone is not enough. The true effectiveness of any data platform depends on the strength of a cohesive and well-designed ecosystem. This requires coordinated efforts across multiple sectors:

  • Policy-makers play a critical role in shaping forward-looking policies that promote standards and encourage innovation, backed by financial sustainability and regulatory clarity.
  • The private sector must lead in developing secure, scalable, and interoperable digital infrastructure that forms the backbone of data-driven agriculture.
  • Civil society organizations and research institutions must drive grassroots-level adoption, fostering knowledge-sharing, and ensuring that innovations reach the last mile, while protecting the rights of individuals.

By aligning efforts across the four key dimensions – business, technology, legal, and implementation – it is possible to develop a resilient and inclusive data ecosystem that enhances productivity, strengthens food security, and ensures long-term sustainability for the agriculture sector.

Loading...
Don't miss any update on this topic

Create a free account and access your personalized content collection with our latest publications and analyses.

Sign up for free

License and Republishing

World Economic Forum articles may be republished in accordance with the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License, and in accordance with our Terms of Use.

The views expressed in this article are those of the author alone and not the World Economic Forum.

Stay up to date:

The Digital Economy

Related topics:
Fourth Industrial RevolutionFood and Water
Share:
The Big Picture
Explore and monitor how The Digital Economy is affecting economies, industries and global issues
World Economic Forum logo

Forum Stories newsletter

Bringing you weekly curated insights and analysis on the global issues that matter.

Subscribe today

How AI agents are revolutionizing administration for businesses

Jovan Jovanovic and Dino Osmanagić

May 16, 2025

­­Ask not what AI can do for you – ask what you can do for AI

About us

Engage with us

  • Sign in
  • Partner with us
  • Become a member
  • Sign up for our press releases
  • Subscribe to our newsletters
  • Contact us

Quick links

Language editions

Privacy Policy & Terms of Service

Sitemap

© 2025 World Economic Forum