Hybrid Conferencee

International Conference on AI in Data Science for Agriculture (ICIADSA - 26)

1st - 2nd October 2026 | Chicago, USA

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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 Chicago. 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 Chicago 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 Chicago conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Chicago, 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 Chicago."
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 3
SDG 3 Good Health and Well-being
SDG 6
SDG 6 Clean Water and Sanitation
Track 01

Advancements in AI for Precision Agriculture

This track explores the latest developments in artificial intelligence technologies that enhance precision farming practices. Topics include AI-driven decision-making tools for optimizing resource use and improving crop yields.

Track 02

Machine Learning Techniques for Crop Yield Prediction

This session focuses on innovative machine learning methodologies applied to predict crop yields based on various data inputs. Participants will discuss case studies and models that demonstrate the effectiveness of these techniques.

Track 03

Soil Data Analytics for Sustainable Farming

This track delves into the role of data analytics in understanding soil health and fertility. Presentations will cover techniques for analyzing soil data to inform sustainable agricultural practices.

Track 04

AI-Driven Pest Detection and Management

This session highlights the application of AI in identifying and managing agricultural pests. Researchers will present novel algorithms and systems that enhance pest detection accuracy and response strategies.

Track 05

Smart Irrigation Systems Powered by AI

This track examines the integration of artificial intelligence in developing smart irrigation solutions. Discussions will focus on optimizing water usage and improving crop health through intelligent irrigation technologies.

Track 06

Robotics and Automation in Agriculture

This session showcases advancements in agricultural robotics and automation technologies. Participants will explore how robotics can improve efficiency and productivity in various farming operations.

Track 07

Remote Sensing Applications in Agriculture

This track investigates the use of remote sensing technologies to gather and analyze agricultural data. Presentations will cover applications such as crop monitoring, soil assessment, and environmental impact analysis.

Track 08

Weather Prediction Models for Agricultural Planning

This session focuses on the development and application of weather prediction models tailored for agricultural contexts. Participants will discuss how accurate forecasting can influence farming decisions and practices.

Track 09

Livestock Monitoring through AI Technologies

This track explores the use of AI in monitoring livestock health and productivity. Discussions will include wearable technologies and data analytics for enhancing animal welfare and farm management.

Track 10

AI in Food Supply Chain Optimization

This session examines the role of artificial intelligence in streamlining food supply chains. Participants will discuss strategies for improving efficiency, reducing waste, and enhancing food security.

Track 11

Drones in Agriculture: Innovations and Applications

This track highlights the innovative use of drones in agricultural practices. Presentations will cover applications such as crop surveillance, data collection, and precision application of inputs.