Large-scale farming is difficult in its own right, trying to keep everything on track, making sure the farm is working to its maximum capacity. As is managing your staff; are they checking for pests, catching deficiencies and viruses before they happen and reacting to the cultivation environment to save you from catastrophic crop failure? Driving up crop yields and improving quality through automation and smart cultivation can save your business a small fortune. We are using lidar in a unique way to power our AI-driven Cannabis cultivation management system. By using fixed lidar sensors, we are equally monitoring plants for there health and security and humans for their actions and intent. This will assist growers to improve profit, increase efficiency and maximise yield, whilst bolstering security and driving decision making. By using our smart technology, Phyllo can save you money, time and effort to ensure your farm runs more efficiently and profitably without you even being there.

1. 1 November 2018

2. Business concept

3. Business concept
A next generation AI/Data driven platform to manage
the Crop Yield, Security, Environmental Knowledge
and Human Efficiency of high value crops in the
Greenhouse and Indoor Farming industry building on
the concept of precision agriculture.

4. The problem
and opportunity

5. The problem and opportunity
By 2050, the global population is expected
to increase by almost 40% to 9.6 billion.
In order to feed this drastically increasing
population, the UN Food and Agriculture
Organization (FAO) predicts that the
agriculture industry will need to produce
70% more food while only being able to
use 5% more land.
Greenhouse and Indoor crop growth will be
key to address this demand and the growing
of high value crops will need to significantly
increase their yields to manage costs and
meet environmental and regulatory pressures
whilst returning a commercial profit.
Direct research and inputs from farmers and
industry consultancy have identified core
areas that need addressing immediately:
crop management, security, environment
and people.

6. Our solution

7. Our solution
Phyllo will use sophisticated software AI
algorithms to analyse the data taken from
the use of lidar and other sensors.
This will create a system of intelligence and
decision making for the key business
processes and the enterprise workflows of
the cultivators and farmers.
Big Data will influence Machine Learning
and training, and the resulting intelligence
will have multiple uses in security, human
efficiencies and environment control.
Data gathered can be used to proactively
identify crop problems and solutions,
allowing the appropriate course of action to
be taken at the correct time and at the
correct place.
In addition the captured, stored and
processed data will be fed into the farms’
sales, regulatory and farm management
systems, in real-time, creating a valuable
asset in the data itself.

8. Our solution - lidar
Lidar is a remote sensing technology which
uses the pulse from a laser to collect
measurements of a specified area which can
then be used to create 3D models and maps
of both objects and environments.
It uses light waves from a laser in a similar
way that radar uses radio waves and sonar
uses sound waves.
The time it takes the light to travel from the
laser, to the object, and back again is
calculated.
The lasers can fire around 1,000,000
pulses per second, and the data fed back
to the sensors is used to build up a 3D
image of the greenhouses, crops and
workers.
This visualisation is also known as a ‘Point
Cloud’.
In the case of crops, damaged plants or
the onset of disease/blight in crops will
return a different 3D image to that of
healthy crops.

9. Size of the market

10. Opportunity, Industry & Market size, growth potential
The commercial greenhouse market was
valued at $19.982 billion in 2017, and is
projected to expand at a CAGR of 7.14%
over the forecast period to reach $30.224
billion by 2023.
There are over 40,000 farms growing crops
indoors in the US alone. That’s over 1B
square feet of growing area. These 40,000
growers produce a market value of
$14.8B annually.
Our targeted pilot partners are in the legal
cannabis market.
The global legal cannabis economy is
expected to reach $140 billion within 10
years with many Countries expanding
medical and recreational usage restrictions in
2018.
Australia, Canada, the United States,
Columbia and Uruguay have already seen
dramatic growth in their cannabis sectors.

11. Business model

12. Business model
Phyllo aims to cost effectively access customers at scale, through B2B relationships,
and seek to maximise recurring revenue sources.
Phyllo has seven main revenue sources:
● Hardware sales / leasing — upfront sales
● Software and server licences — upfront sales
● Platform Training — upfront sales
● Platform and hardware installation — upfront sales
● Platform maintenance — recurring income
● Core AI upgrades — recurring income
● Individual module upgrades — recurring income

13. Competitive advantage

14. Competitive advantage
The know-how to combine next generation AI
driven software and leading edge hardware
to produce industry specific solutions that
can collect, store and process data sets
on-site locally (not dependent on the cloud).
The collection of those unique data sets, the
learning and training from that data with
retained ownership that can be further
commercialised.
A scalable model that can grow from pilots
to full production at low risk/high gain for the
growers along with their business growth.
Access to sector-specific expertise
grounded in real-life problems and working
relationships with industry consultants that
can place us with early adopters.

15. Sales and marketing

16. Product development
Our AI-driven plant cultivation management
system uses both emerging hardware and
software technologies which can be updated
remotely (as in the Tesla model).
The accumulated AI learning and training
data will be used for further software
modules based around plant science and
potential data inputs for autonomous mobile
agricultural robots used for soil sampling,
crop scouting, precise spraying, fertilization
and selective weed control.
This system currently will be focused on
industrial indoor grow-rooms, greenhouses
or under cover.
This could be expanded to outdoor crops
with maturity in the hardware and sensor
technology meaning the experience gained
indoors can be reused in other agricultural
sectors.

17. Distribution channels
● Industry Partners have talked to and identified 60 farms willing to be part of
the pilot or see the results of the pilot. They are also connected to a large
number of other farms.
● Our staff will attend trade shows and events, promoting the platform and
generating new leads.
● Promotion through our partner’s industry sector magazine.

18. Operational plan

19. Operational plan
Our multi phase approach is built around
rapid validation and growth. We have pilot
sites identified.
We can achieve the first shakedown pilot
completion in four months and two
commercial pilots within six months.
The remainder of the year is early adopters
and full commercialisation.
The partners involved combine successful
industry consultants with access to pipeline
and emerging tech / AI technical partners
with proven products.

20. Financial plan

21. 2 Yr P&L
Year 1 Year 2
Revenue £465,711 £8,224,067
Cost of Sales £839,569 £2,049,312
Gross Margin (£373,858) £6,174,755
Operating Expenses £475,600 £3,478,176
Sales & Marketing £158,100 £560,400
EBITDA (£849,458) £2,696,579
Investment £998,000 £0

22. Funding sources & exit

23. Funding sources and exit
Funding needed
We are looking for an investment of £998K in
return for a % equity stake in the company,
and ideally the additional value the investor
can bring beyond their investment.
The investment will be used to build out the
existing pilots and pipeline, and invest in
Sales/Distribution, Marketing, Product
Development and Operations and ensure
we can scale the product globally against
agreed milestones.
Exit Plan
Phyllo will grow substantially over the
next three years with a trade sale at
a logical point.

24. Thank you