International Conference on AI in Data Science for Agriculture

ICIADSA

5th Jun – 6th Jun 2027 Athens, Greece

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Registration Summary

Conference ICIADSA

Date 5th Jun – 6th Jun 2027

Location Athens, Greece

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

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.

SDG 2 SDG 12 SDG 15

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.

SDG 2 SDG 12 SDG 13

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.

SDG 2 SDG 12 SDG 15

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.

SDG 2 SDG 12 SDG 15

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.

SDG 6 SDG 12 SDG 13

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.

SDG 8 SDG 9 SDG 12

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.

SDG 2 SDG 13 SDG 15

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.

SDG 2 SDG 13 SDG 15

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.

SDG 2 SDG 3 SDG 12

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.

SDG 2 SDG 12 SDG 13

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.

SDG 2 SDG 12 SDG 15