Artificial Intelligence / Machine Learning in Agriculture
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.
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
1) The yield per Acre
2) Soil Optimization
3) profitability per field/ department
4) Wages to revenue
5) Feed and water consumption
6) Fertilizers per Output
7) Chemicals per output
8) Plants per Hectare
9) Field Utilization Rate
10) operating profit
11) Waste Percentage
12) People Efficiency
13) Estimated Production Potential
14) Sow mortality %
15) Time to regenerate harvested areas
16) Deforestation rate
17) % of forest areas under protected status
18) Area of forest cut over annually
19) Achieved thinning versus prescribed