Hybrid Conferencee

International Conference on Agriculture and Food Security using Big Data (ICAFBDA - 26)

25th - 26th August 2026 | Dubai, UAE

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Dubai. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Dubai event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Dubai conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Dubai, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Dubai."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 2
SDG 2 Zero Hunger
SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Innovations in Precision Agriculture

This track focuses on the application of big data technologies in precision agriculture to enhance crop yield and resource efficiency. It aims to explore innovative methodologies and tools that leverage data analytics for site-specific management practices.

Track 02

AI-Driven Solutions for Food Security

This session will examine the role of artificial intelligence in addressing global food security challenges. Participants will discuss AI-driven models and systems that optimize agricultural outputs while ensuring sustainability.

Track 03

Data Integration Techniques in Agriculture

This track will delve into the methodologies for integrating diverse data sources in agricultural contexts. Emphasis will be placed on the challenges and solutions for creating cohesive data ecosystems that support decision-making.

Track 04

Machine Learning Applications in Crop Management

This session will showcase the latest advancements in machine learning techniques applied to crop management. Researchers will present case studies demonstrating how predictive analytics can enhance farming practices.

Track 05

Sustainable Farming through Big Data Analytics

This track will explore the intersection of big data analytics and sustainable farming practices. Discussions will focus on how data-driven insights can lead to environmentally friendly agricultural solutions.

Track 06

Visualization Techniques for Agricultural Data

This session will highlight innovative data visualization techniques tailored for agricultural datasets. Participants will learn how effective visualization can facilitate better understanding and communication of complex agricultural data.

Track 07

Intelligent Systems for Agricultural Innovation

This track will focus on the development and implementation of intelligent systems that drive innovation in agriculture. The discussions will cover the impact of smart technologies on productivity and efficiency in farming.

Track 08

Optimization of Food Systems using Big Data

This session will address the optimization of food systems through the application of big data analytics. Participants will explore strategies for enhancing supply chain efficiency and reducing waste in food production.

Track 09

Challenges in Agricultural Data Management

This track will discuss the various challenges faced in managing agricultural data, including data quality, accessibility, and interoperability. Solutions and best practices for overcoming these challenges will be a key focus.

Track 10

Predictive Analytics for Crop Yield Forecasting

This session will explore the use of predictive analytics in forecasting crop yields and informing agricultural practices. Researchers will present methodologies that enhance the accuracy of yield predictions through data-driven approaches.

Track 11

Future Trends in Big Data for Agriculture

This track will examine emerging trends and future directions in the application of big data within the agricultural sector. Discussions will focus on the potential impacts of new technologies and methodologies on food security and farming practices.