AI and Machine Learning in Agriculture
API format. Plagiarism free.
Part 1 – Deadline 4/1/21
Part 2 – Deadline 4/14/21
Artificial
Intelligence / Machine Learning in Agriculture
Part
–
1 ( About
5
pages + References)
Detailed
Introduction
( About 2 pages)
S
elect any 5 companies on the selected Topics ( Preferably companies where you can get
Dataset easily
for
KPI
)
Select any 1
5
K
PI
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 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