Important Dates
Early Bird Registration :4th October 2026
Paper Submission Deadline :9th October 2026
Last Date of Registration : 19th October 2026
Date of Conference : 3rd - 4th November 2026
Conference Session Tracks
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.
SDG 2 — Zero Hunger
SDG 4 — Quality Education
SDG 9 — Industry, Innovation and Infrastructure
SDG 12 — Responsible Consumption and Production
SDG 13 — Climate Action
SDG 15 — Life on Land
SDG 17 — Partnerships for the Goals
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.