Digital Public Infrastructure (DPI) - AgriStack for Inclusive Development and Achieving Sustainability Goals

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Authors: K. M. Mahesh, P. S. Aithal, K. R. S. Sharma, Lakshman K.
Cited by: 0

Abstract

Purpose: The Government of India is promoting digital transformation in agriculture through initiatives such as e-NAM, NeGP-A, the Digital Agriculture Mission, and AgriStack, integrating technologies like AI, IoT, drones, and data analytics to enhance productivity, sustainability, and farmer livelihoods. With nearly 70% of rural households dependent on agriculture, Agriculture 4.0 and the 5C approach aim to strengthen collaboration, improve credit access, reduce costs, address climate change, and support inclusive growth while contributing significantly to India’s economy and UN Sustainable Development Goals. Methodology/Approach: The study typically uses a combination of case studies, policy analysis, and data-driven assessments to explore how AgriStack, a part of Digital Public Infrastructure (DPI), is applied in agriculture to promote inclusivity and sustainability. The approach might involve evaluating technological implementations and their impact on agricultural practices. The authors presented the DPI on Agristack in agriculture eco system and instrumental for the achieving sustainability. Findings/Results: The research indicates that leveraging digital infrastructure like AgriStack can significantly enhance the productivity of farmers, improve access to information, and drive progress towards achieving the UN's Sustainable Development Goals (SDGs). It demonstrates the potential for technology to bridge gaps in agricultural services and support environmental sustainability. Originality/Value: This paper provides unique insights into the role of digital frameworks in transforming the agricultural sector, particularly in emerging economies like India. 5C approach model and ABCD analysis gives more clarity on the DPI on Agristack. Paper Type: Research article Digital Public Infrastructure (DPI) - AgriStack

Fields of Study & Subjects

Digitalization and Economic Development in Agriculture Smart Agriculture and AI Agricultural Economics and Practices

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
23 February 2026
Language
ANG