About Workshop
Statistical modeling and forecasting plays a crucial role in decision making in agricultural and allied research for analyzing large number of data sets generated through biological eld /lab experiments, surveys and published reports. To understand the increasing complexity among decision variables, many statistical and machine learning techniques have been developed in recent years. With advancement in computational open source tools and techniques, this area has become most important for the current needs. Therefore, this training programme has been designed to address both theory and application parts of the statistical and machine learning techniques. ‘R’ is the most popularly used open source programming language in statistical data analysis. R is freely available and regularly updated by the global R community with advanced computational methods. This training is designed to impart hands-on practical sessions for each of the theory classes, so that participants can analyze their data sets using R anytime.
Objectives of the proposed high end workshop are:
- Educating the participants about various advanced Statistical, Machine Learning, Remote Sensing & GIS tools and techniques for modeling and forecasting agricultural data
- Imparting hands-on experience to the participants on data analysis
- Acquainting the participants about R software package for data analysis
Important Dates
Workshop Dates: 18-30 July, 2022
List of selected candidates 
