About the Webinar

With the growing emphasis on data-driven agriculture, agro-statistics plays a critical role in analyzing and interpreting complex datasets related to crop yield, soil health, irrigation, weather patterns, and resource optimization. Python, with its powerful libraries and ease of use, is now a go-to tool for agricultural data science. This one-day webinar is designed to introduce participants to the fundamentals of agro-statistics and its practical applications using Python. Whether you're a student, researcher, or agricultural professional, this session will help you understand how to use statistical techniques to make informed decisions in agriculture.

Topics to be Covered

• Introduction to Agro-Statistics
• Importance of Data in Agriculture
• Descriptive and Inferential Statistics for Crop Data
• Use of Python Libraries: pandas, matplotlib, seaborn, scipy, statsmodels
• Case Study: Crop Yield Prediction
• Hands-on Session: Statistical Analysis with Real Agricultural Data
• Q&A and Expert Interaction

Who Can Attend?

• Undergraduate and Postgraduate Students
• Researchers in Agriculture, Statistics, and Data Science
• Agronomists and Farm Planners
• Faculty Members and Extension Workers
• Anyone interested in data-driven agriculture