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Firm DeadlineFull Paper Submission: 15 Aug 2026Abstract: 8 Aug 2026Submit via Microsoft CMT3

Springer CCIS
IIT Ropar
ICA 2026IIT ROPAR
Aerial view of smart farm
ICA 2026 • ANNAM.AI, IIT ROPAR

The 4th International Conference on Agriculture-Centric Computation
ICA 2026

Theme: AI Meets Farm – Digital Agriculture for a Sustainable Future

The Fourth ICA (ICA 2026), hosted by ANNAM.AI, IIT Ropar, Punjab, India. Previous editions of ICA were held at IIT Ropar (2023), IIIT Delhi (2024), IIT Guwahati (2025), with accepted papers published in Springer CCIS.

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Dates

1st – 4th Nov 2026

Abstract: 8th Aug 2026

Full Paper: 15th Aug 2026

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Venue

ANNAM.AI, IIT Ropar

Punjab, India

IIT Ropar Campus

Global Nexus for Agri-Tech Innovation

ANNAM.AI SAB Entrance

Welcome to ICA 2026

We are delighted to invite you to the Fourth International Conference on Agriculture-Centric Computation (ICA 2026), hosted by ANNAM.AI, IIT Ropar, Punjab, India. The inaugural ICA was held at IIT Ropar in May 2023, with accepted papers published in Springer CCIS.

Since then, ICA has established itself as a premier platform for researchers, practitioners, and policymakers exploring the transformative role of computation and system architectures in agriculture.

4th

Edition

Springer

CCIS Publication

ICA 2026 Host

About ANNAM.AI

ANNAM.AI is the Centre of Excellence in Artificial Intelligence for Digital Agriculture at IIT Ropar. It brings together researchers, innovators, industry, and policymakers to develop AI-driven technologies that enable sustainable, data-driven, and resilient agricultural systems.

Learn more about ANNAM.AIopen_in_new
ANNAM.AI

Scope: Three Levels of Computation

Agriculture is increasingly shaped by computational models, system architectures, and knowledge representations operating across multiple levels.

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Activity Level

Computations and architectures for individual farming tasks, including IoT sensing, drone navigation, computer vision for crop monitoring, and secure on-farm data sharing.

Focus: Precision
Agricultural Process
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Process Level

Computational frameworks and architectures that enhance cultivation, optimize supply chains, integrate agriculture ontologies, and enable secure and trusted information exchange.

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Ecosystem Level

Large-scale simulations, architectures for food security and climate adaptation, federated data ecosystems, and knowledge bases supporting collaboration, governance, and resilience.

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Our Organisers

Organising Partners

Annam AI
IIT Ropar
Awadh
Ministry of Education
NRIIPM