Artificial Intelligence / Machine Learning in Agriculture Paper

Artificial Intelligence / Machine Learning in Agriculture Paper

Part – 1  ( About 5 pages + References)

Detailed Introduction ( About 2 pages)

Select any 5 companies on the selected Topics ( Preferably companies where you can get Dataset easily for KPI)

Select any 15 KPI from the websites like https://kpilibrary.com/ or some other site related to the topic / Industry

Finalize 6 to 8 KPIs from the above list to collect Data Sets

 

Part – 2  ( Detailed explanation on the selected 6 KPIs and Conclusion) – About 12 pages

Detailed analysis on each of the selected KPI from collected data for companies chosen above ( if no specific data on those selected companies then can write about industry) . – No need to mention research method etc. Artificial Intelligence / Machine Learning in Agriculture Paper.

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Conclusion

 

 

Note :  One of the KPIs data should be from below website and must explain about KPI – Fertilizers per Output

http://www.fao.org/faostat/en/#data

You can use the below KPIs.  These can change if you need to change them ( Except # 6).

KPI’S

  • The yield per Acre
  • Soil Optimization
  • profitability per field/ department
  • Wages to revenue
  • Feed and water consumption
  • Fertilizers per Output
  • Chemicals per output
  • Plants per Hectare
  • Field Utilization Rate
  • operating profit
  • Waste Percentage
  • People Efficiency
  • Estimated Production Potential
  • Sow mortality %
  • Time to regenerate harvested areas
  • Deforestation rate
  • % of forest areas under protected status
  • Area of forest cut over annually
  • Achieved thinning versus prescribed

 

Artificial Intelligence / Machine Learning in Agriculture Paper

 
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