ELE AGM – 361

ELE AGM – 361: SYSTEM STIMULATION AND AGRO-ADVISORY

Credit:2(1+1)

THEORY:

System Approach for representing soil-plant-atmospheric continuum, system boundaries, Crop models, concepts & techniques, types of crop models, data requirements, relational diagrams. Evaluation of crop responses to weather elements; Elementary crop growth models; calibration, validation, verification and sensitivity analysis.Potential and achievable crop production- concept and modelling techniques for their estimation. Crop production in moisture and nutrients limited conditions; components of soil water and nutrients balance. Weather forecasting, types, methods, tools & techniques, forecast verification; Value added weather forecast, ITK for weather forecast and its validity; Crop-Weather Calendars and forewarning model; Preparation of agro-advisory bulletin based on weather forecast. Use of crop simulation model for preparation of Agro-advisory and its effective dissemination.

PRACTICAL:

Preparation of crop weather calendars. Preparation of agro-advisories based on weather forecast using various approaches and synoptic charts. Working with statistical and simulation models for crop growth. Potential & achievable production; yield forecasting, insect & disease forecasting models.Simulation with limitations of water and nutrient management options. Sensitivity analysis of varying weather and crop management practices. Use of statistical approaches in data analysis and preparation of historical, past and present meteorological data for medium range weather forecast.Feedback from farmers about the agroadvisory.

Practical (Experiments):

1) Preparation of crop weather calendars

2 & 3) Preparation of agro-advisories based on weather forecast using various approaches

4) Preparation of AAS based on weather forecast using synoptic charts

5 & 6) Study of crop-weather models using different statistical teqniques

7) Study of simulation models for crop-growth (DSSAT)

8 & 9) Study of forewarning models for insect pest and disease.

10) Study of crop-weather –pest – disease calendar

11) Study of Simulation with limitations of water and nutrient management options

12) Sensitivity analysis of varying weather and crop management practices

13 & 14) Use of statistical approaches in data analysis and preparation of historical, past and present meteorological data for medium range weather forecast

15 & 16) Feedback from farmers about agro-advisory.