Eco-friendly Agriculture and Food Security:


The objective of this session is to explore the transformative role of AI in fostering eco-friendly agriculture practices, focusing on precision farming, smart irrigation systems, and sustainable supply chain optimization. The session aims to delve into innovative AI applications that enhance productivity, resource efficiency, and overall sustainability in agriculture, thereby contributing to global food security.


"Cultivating Sustainability: Harnessing AI for Precision Agriculture and Food Security."

It highlights the symbiotic relationship between technology and agriculture, emphasizing the pivotal role of AI in promoting sustainable farming practices and ensuring global food security. This theme aptly conveys the session's focus on leveraging cutting-edge technologies to address crucial challenges in agriculture and aligning with broader sustainability goals.


1 AI applications for precision agriculture and sustainable farming.

2 Smart irrigation systems and crop yield prediction using machine learning.

3 Sustainable supply chain optimization with AI in agriculture.

4 AI-Enhanced Crop Monitoring and Disease Detection

5 Sensor Integration for Precision Agriculture

6 Autonomous Farming Systems

7 Weather Data Integration in Precision Agriculture

8 Machine Learning for Crop Yield Prediction

9 AI-Driven Smart Irrigation Systems

10 Decision Support Systems for Farm Management

11 Supply Chain Optimization in Agriculture

12 Carbon Footprint Reduction in Agriculture

13 Blockchain and AI for Traceability in Agriculture


    Insights into AI-Enabled Precision Agriculture:
  • Participants will gain insights into the applications of AI for precision agriculture, emphasizing sustainable and efficient farming practices.
    Smart Irrigation and Crop Yield Prediction:
  • The session will showcase advancements in AI-driven smart irrigation systems and machine learning-based crop yield predictions, providing a pathway to resource-efficient farming.
    Sustainable Supply Chain Optimization:
  • Attendees will explore how AI contributes to optimizing agricultural supply chains, minimizing waste, and promoting sustainable practices from farm to table.
    Practical Implementations:
  • Case studies and demonstrations will highlight real-world implementations of AI technologies in agriculture, showcasing tangible benefits for farmers, the environment, and global food security.
    Collaboration Opportunities:
  • The session will facilitate networking and collaboration among researchers, agricultural experts, and technology innovators to explore potential partnerships and interdisciplinary projects.
To be a Presenter please submit your Research Abstract
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