AI and Machine Learning in Agriculture

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 1

5

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 a

naly

sis 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

Not

e : One of the KPIs data should be from below website and must explain about K

PI

-

Fertilizers per

Output

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

You c

an use the below KP

Is. 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 Pe

rcentage

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

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