2. SIGNIFICANCE OF DATA BASED FERTILIZER PREDICTION MODELS FOR IMPROVING THE FERTILIZER USE EFFICIENCY MUHAMMAD AKRAM BAJWA FAUJI FERTILIZER COMPANY LIMITED

3. PRESENTATION STRUCTURE  Significance of Data Based Fertilizer Prediction Models  Different Data Based Fertilizer Prediction Models  Facilities Available for Site Specific Fertilizer Recommendations in Pakistan  FFC - Fertilizer Prediction Model  Role of Model for Increasing Fertilizer Use Efficiency  Introduction - Data Based Fertilizer Prediction Model  Significance of Data Based Fertilizer Prediction Models  Different Data Based Fertilizer Prediction Models  Fertilizer Prediction Models Available in Pakistan  FFC - Fertilizer Prediction Model  Role of Model for Increasing Fertilizer Use Efficiency

4. DATA BASED FERTILIZER PREDICTION MODEL Fertilizers/nutrients recommendation thru web, software or manual on the basis of soil analysis data and other factors including climatic conditions.

5. SIGNIFICANCE OF DATA BASED FERTILIZER PREDICTION MODELS  Promote balanced fertilizer use  Improvement in fertilizer use efficiency  Reduction in expense on fertilizers  Saving of fertilizers especially N  Improvement in soil fertility status

6.  Increase in farm productivity / profitability  Improve economic condition of the farmers  Ensure sustainable agriculture  Increase in overall country production SIGNIFICANCE OF DATA BASED FERTILIZER PREDICTION MODELS

7. TYPES OF FERTILIZER PREDICTION MODELS Fertilizer Recommendations Thru  Web  Software  Manual

8. TYPES OF FERTILIZER PREDICTION MODELS AVAILABLE IN PAKISTAN  Web Model (UAF) Soil Test Basis Crop Yield Area Specific (District)  Software Model (FFC)  Manual Model- SFD & Fertilizer Companies

9. PREDICTION MODEL ADOPTED BY FFC Company Started Providing the Facility of Soil & Water Analysis since 1981  Software Based Fertilizer Recommendations Pedon(1986) TSS – I(1999) TSS – II(2006)  SAP - Centralized Data  Reports Through e-mail

10.  Site specific recommendations  Prediction on the basis of soil analysis, nutrient removal and target yield  Prediction of macro and micro nutrients  Yield adjustment on basis of farm information  Software covers most of the crops & orchards  Fertilizer doses are kept in line with research organizations SALIENT FEATURES OF FFC MODEL

11.  Soil test and recommendation reports in Urdu with time & method of application  Sample collection under the supervision of expert from farmers’ field  Delivery of reports at farmer’s doorstep  Recommendations are also given in nutrients  Improvement in prediction model thru verification by field demonstrations and farmers feedback/surveys SALIENT FEATURES OF FFC MODEL

12.  Not Area Specific  No Consideration of Climatic Conditions  Analysis on Request Basis  Limited Capacity LIMITATIONS OF FFC MODEL

13.  Data Based on Research  Area Specific  Consideration of Climatic Conditions  Web Based  User Friendly  Wide Usage Farmer Access Public and Private Organizations SALIENT FEATURES UAF MODEL

14.  Quality of Soil Sampling  Quality of Soil Analysis  Analysis from Different Sources  Limited Crops  Only for Two Nutrients (N & P) LIMITATIONS OF UAF MODEL

15.  Balance Use of Fertilizer  4R Strategy Right Source Right Rate Right TimeRight Place  Better Utilization of Applied Nutrients by Crop  Climatic Conditions ROLE OF MODEL FOR INCREASING FERTILIZER USE EFFICIENCY

16. CONCLUSION DATA BASED FERTILIZER PREDICTION MODELS ARE KEY COMPONENT NOT ONLY TO SUSTAIN AGRICULTURAL PRODUCTIVITY BUT ALSO TO MAINTAIN / IMPROVE SOIL FERTILITY & LEAD TOWARDS FOOD SECURITY DATA BASED FERTILIZER PREDICTION MODELS ARE KEY COMPONENTS NOT ONLY TO ENHANCE AGRICULTURAL PRODUCTIVITY BUT ALSO TO MAINTAIN / IMPROVE SOIL FERTILITY AND LEAD TOWARDS FOOD SECURITY

17. THE MORE WE GROW THANK YOU THE BETTER WE SERVE

20. Farmer Information Sheet