Hybrid Conferencee

International Conference on Agriculture and Environmental Applications of Artificial Intelligence (ICAAEAI - 26)

12th - 13th November 2026 | Dhaka, Bangladesh

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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 Dhaka. 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 Dhaka 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 Dhaka conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Dhaka, 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 Dhaka."
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 9
SDG 9 Industry, Innovation and Infrastructure
SDG 12
SDG 12 Responsible Consumption and Production
Track 01

AI-Driven Precision Agriculture

This track focuses on the integration of artificial intelligence in precision agriculture practices. Participants will explore innovative AI applications that enhance crop yield and resource efficiency.

Track 02

Machine Learning for Sustainable Farming

This session will delve into machine learning techniques that promote sustainability in agricultural practices. Researchers will present case studies demonstrating the impact of these technologies on environmental conservation.

Track 03

Intelligent Systems in Agricultural Automation

This track examines the role of intelligent systems in automating agricultural processes. Discussions will highlight advancements in robotics and AI that streamline farming operations.

Track 04

Predictive Analytics in Crop Management

This session will cover the use of predictive analytics to enhance crop management strategies. Participants will share insights on how data-driven decisions can lead to improved agricultural outcomes.

Track 05

Data Analytics for Agricultural Innovation

This track focuses on the application of data analytics in fostering innovation within the agricultural sector. Presenters will discuss methodologies for leveraging big data to drive agricultural advancements.

Track 06

AI Frameworks for Agricultural Systems Optimization

This session will explore various AI frameworks designed to optimize agricultural systems. Researchers will present their findings on the effectiveness of these frameworks in enhancing productivity.

Track 07

Deep Learning Applications in Agriculture

This track highlights the transformative potential of deep learning technologies in agriculture. Participants will discuss real-world applications that demonstrate significant improvements in farming practices.

Track 08

Innovation Strategies in Agricultural AI

This session will investigate strategic approaches to fostering innovation in agricultural AI applications. Experts will share successful case studies and frameworks for implementing AI-driven solutions.

Track 09

Automation Technologies in Farming

This track focuses on the latest automation technologies that are reshaping the agricultural landscape. Discussions will include the benefits and challenges of implementing these technologies in various farming contexts.

Track 10

AI-Enhanced Decision Making in Agriculture

This session will explore how AI enhances decision-making processes in agriculture. Participants will examine tools and techniques that enable farmers to make informed choices based on data insights.

Track 11

Challenges and Future Directions of AI in Agriculture

This track addresses the challenges faced in the adoption of AI technologies in agriculture and explores future directions. Experts will discuss barriers to implementation and potential solutions for overcoming them.