About Workshop
Aim
Structure
📅 Day 1 – Technological Innovations in Smart Farming
- Introduction to Smart Farming and Digital Agriculture
- Integration of Drones for Crop Monitoring and Precision Application
- Internet of Things (IoT) in Field Monitoring and Automation
- Artificial Intelligence and Machine Learning in Crop Prediction and Disease Detection
- Agricultural Robotics: Automation in Seeding, Weeding, and Harvesting
- Industry Use Cases and Research Trends in Agri-Tech
📅 Day 2 – Sustainable Practices and Future Farming Models
- The Role of Sustainability in Modern Agriculture
- Urban and Vertical Farming Systems: Hydroponics, Aquaponics, and Smart Greenhouses
- Carbon-Neutral and Regenerative Agricultural Approaches
- Smart Waste Management and Circular Economy in Agriculture
- Policy Frameworks, Global Standards, and Regulatory Trends
- Case Examples from Emerging and Developed Economies
📅 Day 3 – Data-Driven Agriculture and Resource Optimization
- Big Data in Agriculture: Sources, Types, and Strategic Importance
- Data Analytics for Crop Yield Optimization and Resource Planning
- Farm Management Information Systems (FMIS) and Smart Decision Platforms
- AI and Predictive Modeling for Climate-Resilient Farming
- Data Governance, Interoperability, and Ethical Considerations
- Global Best Practices in Data Integration for Agri-Businesses
Important Dates
Registration Ends
Workshop Dates
What You Will Gain
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Understand key smart farming technologies (AI, IoT, drones, robotics, big data).
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Learn sustainable and climate-resilient practices.
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Gain skills in data-driven decision-making and resource optimization.
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Explore global case studies, policies, and best practices.
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Receive participation certificates and curated learning resources.
Outcomes
By the end of the program, participants will be able to:
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Apply AI, IoT, drones, robotics, and big data in agricultural contexts.
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Implement sustainable and climate-resilient farming practices.
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Utilize data analytics and predictive tools for crop and resource optimization.
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Evaluate global case studies and policies to adapt best practices locally.
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Contribute to innovative agri-tech solutions and sustainable food systems.
Who Should Attend
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Students and Research Scholars in agriculture, biotechnology, data science, and environmental studies.
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Academicians and Faculty Members seeking to integrate smart farming concepts into teaching and research.
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Industry Professionals and Agri-Tech Entrepreneurs aiming to adopt innovative technologies and sustainable practices in agriculture.
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Policy Makers and Development Practitioners working on sustainable agriculture, climate resilience, and rural development initiatives.
Deliverables
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Understand key smart farming technologies (AI, IoT, drones, robotics, big data).
-
Learn sustainable and climate-resilient practices.
-
Gain skills in data-driven decision-making and resource optimization.
-
Explore global case studies, policies, and best practices.
-
Receive participation certificates and curated learning resources.