Techniques and Tools for Smart Farming
From Drones to Data: Shaping the Future of Smart Farming
Skills you will gain:
About Program:
This 3-day workshop on Techniques and Tools for Smart Farming introduces participants to the latest innovations shaping agriculture. It covers drones, IoT, AI, robotics, and big data for precision and climate-resilient farming, alongside sustainable practices like vertical farming, regenerative models, and smart waste management. With real-world case studies and global best practices, the workshop equips students, researchers, and professionals with the knowledge to apply smart, data-driven, and sustainable solutions for future-ready agriculture.
Aim: To provide participants with practical knowledge and skills in smart farming technologies, sustainable practices, and data-driven solutions, enabling them to enhance agricultural productivity, efficiency, and sustainability for future-ready farming.
Program Objectives:
What you will learn?
📅 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
Mentor Profile
Fee Plan
Get an e-Certificate of Participation!
Intended For :
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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.
Career Supporting Skills
Program 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.