Techniques and Tools for Smart Farming

By the end of the program, participants will be able to:

• Apply AI, IoT, drones, robotics, and big data in agricultural contexts.

• Implement sustainable and climate-resilient farming practices.

• Utilize data analytics and predictive tools for crop and resource optimization.

• Evaluate global case studies and policies to adapt best practices locally.

• Contribute to innovative agri-tech solutions and sustainable food systems.

• Students and Research Scholars in agriculture, biotechnology, data science, and environmental studies.

• Academicians and Faculty Members seeking to integrate smart farming concepts into teaching and research.

• Industry Professionals and Agri-Tech Entrepreneurs aiming to adopt innovative technologies and sustainable practices in agriculture.

• Policy Makers and Development Practitioners working on sustainable agriculture, climate resilience, and rural development initiatives.

• 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.