Land is addressable by latitude and longitude. It needs no IP addresses and can provide relevant information about the food grown on it - with some help from satellite imagery, weather patterns, soil and agricultural activity data. Predict yield, optimize natural resource usage and trace food from farm to plate. Data Analytics with the new play of Land 2 People, Land 2 Machines adds a new play to the Internet of Everything

1. another thing
in the Internet of Everything

2. 48 Trillion Dollar Industry
introducing the thing
powered by a satellite
limited example of an application
look ma no IPv6
topics
35 minutes & some serious imagination required

3. 48 Trillion Dollar Industry
look no further
than your dinner
Fun fact:
Global tomato business is in
excess of 6 Billion dollars
FOOD

4. Introducing the thing
we live on it
we walk on it
we grow our food on it
Fun fact:
13.86 Trillion sq meters of arable land
or
13,860,000,000,000
sq meters of land addressable by
latitude and longitude *
* that’s way more than 1000x the number of connected things projected for the IoT
thing = land

5. but how is land a thing?
+ +
Satellite with minimum of 30
meter resolution
(e.g. Landsat 8)
Spectral imagery
with 11 bands of
information
(terabytes worth of
data – for free from
Landsat 8)
Weather data (e.g.
CIMIS)
Activity data (e.g.
what’s being grown
on the land, water
applied, etc)
+
Math (e.g. NDVI*,
ETc** correlated to
yield)
=
Land (addressable
by Lat/Long and self-
aware)
big data/analytics Platform
Introducing L2P, L2M
connections:
Land is able to indicate a water need,
to engage the connected sprinkler
system. (L2M)
Land is able to send a work order for
pest control. (L2P)
Query the land, yield can be
predicted at a field level.
Go Bigger - The United States can
secure tomato imports for a lower
price from Mexico – with improved
accuracy of yield prediction well
before the demand drives up the
price

6. how does it work?
BIG Data & Analytics platform for the food ecosystem
• Satellite imagery
• Weather data (including predictive models)
• Soil data (Soil web)
• Activity data (what’s grown, how much water applied, etc)
What does it do?
A continuous processing engine crunches publicly available data (see
above), private data (grower specific/history) and produces aggregated
relevant information for the food ecosystem.
Benefits & Outcomes:
Food production management
Food tracking (e.g. homing in on E.Coli sources, avoid mass destruction
of food)
Yield prediction (beats guessing)
Resource utilization and reporting
Pest management & Logistics tracking
What’s currently being done:
Farmers guess based on last year leading to wasteful practices.
(e.g. currently overwatering results in 30% water loss)
Processors in the ecosystem rely on the guesses.
Who benefits?
The entire food ecosystem – growers,
processors, consumers, agencies
(coalitions and government).
Environmental benefits (resource
conservation efforts and reporting)
What’s at stake?
It is a 48 Trillion Dollar
market – go figure.

7. look ma no IPv6
Perhaps the initial intent of Things in IoT were limited to those addressable via an IP. However, this proves to be limiting since
the majority of arable land that supplies the world’s food will not see a sensor on it for some time to come. Try selling a sensor
to the growers in the largest rice producing country – good luck!
Land can well be a thing (augmented of course) and yet be able to serve the industry practices of:
• Compliance
• Yield management
• Collaboration
• Labeling and food tracking
• Resource Management
Land is easily addressed – Latitude and Longitude and you are there.
Ascribing the “thing” status to Land enables it to deliver information to the requesting entity – Machine or Person abstracting
away the platform/satellite/attribute data providers.
Environmental goals are met with the L2P, L2M approach – fewer electronic gadgets manufactured, remote (less intrusive
observations) provide a greater degree of accuracy than expensive gadgets and maintenance costs.
Skybox recently initiated a service providing 1 meter resolution satellite imagery and HD quality video and while lower in
resolution Landsat 8 data is free.
Resource Conservation efforts by government agencies can now have traceability and tracking of natural resources (E.g.
Water shortage in California – drought, decisions about which districts get water; its usage can be better understood and
managed).
All with publicly available data, no IP addresses, a big data analytics engine, a few satellites and the vision to productize IoE at

8. after all nobody thrives without food (or water)

9. Piqued?
Wilfred, Lawrence
(650) 575 8975