What are the moving forces behind the disruption in the agriculture industry? How to bring innovation into the sector? What are startups farmers better watch out or partner with? what role plays data in all this? Watch Tommaso Di Bartolo, serial-entrepreneur, investor author and UC Berkeley instructor, in his keynote expanding upon this topic. More on www.TommasoDiBartolo.com

1. DISRUPTING THE
AGRICULTURE
INDUSTRY
AND IT WILL NEVER BE THE SAME AGAIN
www.TommasoDiBartolo.com

2. InvestorENTREPRENEUR
Tommaso Di Bartolo
Advisor MentorAuthor
EN ★★★
IT ★★★
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PT ★★★
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FR ★★
speaksstartups Total IV
Exits II
social twitter / snapchat @todiba
linkedin /tommasodibartolo
bio tommasodibartolo.com
Academia

3. InvestorEntrepreneur
Tommaso Di Bartolo
Advisor MentorAUTHOR
What It Takes
EN ★★★
IT ★★★
DE ★★★
PT ★★★
ES ★★
FR ★★
speaksstartups Total IV
Exits II
social twitter / snapchat @todiba
linkedin /tommasodibartolo
bio tommasodibartolo.com
Academia

4. www.Creative-Traction.com
September 30, 2019

5. InvestorEntrepreneur
Tommaso Di Bartolo
ADVISOR MentorAuthor
What It Takes
EN ★★★
IT ★★★
DE ★★★
PT ★★★
ES ★★
FR ★★
speaksstartups Total IV
Exits II
social twitter / snapchat @todiba
linkedin /tommasodibartolo
bio tommasodibartolo.com
Academia

6. InvestorEntrepreneur
Tommaso Di Bartolo
Advisor MENTORAuthor
What It Takes
EN ★★★
IT ★★★
DE ★★★
PT ★★★
ES ★★
FR ★★
speaksstartups Total IV
Exits II
social twitter / snapchat @todiba
linkedin /tommasodibartolo
bio tommasodibartolo.com
Academia

7. InvestorEntrepreneur
Tommaso Di Bartolo
Advisor MentorAuthor
What It Takes
EN ★★★
IT ★★★
DE ★★★
PT ★★★
ES ★★
FR ★★
speaksstartups Total IV
Exits II
social twitter / snapchat @todiba
linkedin /tommasodibartolo
bio tommasodibartolo.com
ACADEMIA

8. INVESTOREntrepreneur
Tommaso Di Bartolo
Advisor MentorAuthor
What It Takes
Awesm
Ventures
EN ★★★
IT ★★★
DE ★★★
PT ★★★
ES ★★
FR ★★
speaksstartups Total IV
Exits II
social twitter / snapchat @todiba
linkedin /tommasodibartolo
bio tommasodibartolo.com
Academia

9. @TommasoDiBartolo
#WhatItTakes

10. T H E A G R I C U LT U R E I N D U S T RY
I S B E I N G D I S R U P T E D

11. WHY NOW?
WHAT ARE THE
MOVING FORCES?

12. STARTUP FUNDING

15. STARTUPFUNDING
EVERYTHING ALWAYS CONNECTED

17. STARTUPFUNDING
EVERYTHINGALWAYSCONNECTED
DATA ZUNAMI

20. ?

21. YESTERDAY TOMORROW
product centric customer centric

22. analog operation

23. digital
collaboration

24. Yes, …DATA
is the new Oil

25. @TommasoDiBartolo
#DataIsTheNewOil

26. 7 AGTECH
TRENDS

27. 1 ROBOTICS

28. EarthSense has
developed an
autonomous robot,
TerraSentia, that contains
a variety of sensors to
collect data for plants'
health, physiology, and
stress response.
EarthSense uses machine
vision and machine
learning to seamlessly
convert field data to
specific, actionable
information about plant-
traits.

29. 2 END-TO-END
TRANSPARENCY

30. Consumers want to know
where their food comes
from. Kakaxi, a solar
powered farm monitoring
device, is the ultimate tool
for farm-to-table
transparency. Kakaxi uses
sensor technology to
capture and broadcast
accurate, hyper-local
weather data. It also
creates a time-lapse video
of food growth showcasing
the story of food.

31. 3 FIELD
SENSORS AND
CAMERAS

32. Trapview is an automated
pest monitoring and
forecasting platform that
enables reliable collection
of pest monitoring data. It
provides near real-time
indications of pest
occurrences, allowing
growers to successfully
respond to situations in the
field.

33. 4 AUTONOMOUS
SYSTEMS

34. Kray Technologies created
the world's first digital -
and, fully unmanned -
drone crop-sprayer that
delivers on-demand
fertilizers and pesticides
right to farmers’ fields. This
solution requires less fuel,
less maintenance, and less
staff compared to current
alternative methods,
cutting down costs
significantly for farmers.
Kray Technologies' drone
can process up to 1200
acres per day while
meeting the EPA
application safety
requirements.

35. 5 FARM
MANAGEMENT

36. AgriWebb is a farm
management software that
simplifies record keeping,
assists with audit and
accreditation needs, and
increases the productivity
of farms. Features include
full record keeping, farm
mapping, operational
planner, inventory
management, task
management, individual
animal management,
biosecurity plans, and
more.

37. 6 AG
BIOTECH

38. Indigo develops microbial
and digital technologies
that improve grower
profitability, environmental
sustainability, and
consumer health. These
technologies underpin its
pioneering business model,
which spans agriculture’s
full value chain.

39. 7 NEXT-GEN
FARMS

40. Indigo develops microbial
and digital technologies
that improve grower
profitability, environmental
sustainability, and
consumer health. These
technologies underpin its
pioneering business model,
which spans agriculture’s
full value chain.

43. Common
Challenges
Not to
Innovate
TOP 3

44. Common
Challenges
Excuses
Not to
Innovate
TOP 3

45. #3

46. ROOT CAUSE
FEAR of changing things we
know - with things we can’t
embrace with confidence
#3

47. #2

48. ROOT CAUSE
LACK OF EXPERIENCE
Who is our team of “internal
entrepreneurs” that takes us
on the right innovation path?
#2

49. #1

50. ROOT CAUSE
COMPENSATION
Compensation models are
directly related to the core
business and its revenue results
#1

51. BUT HOW TO
START?

52. 1INNOVATION
CATALYST
TEAM

53. BUSINESS UNIT R&D / IT MANAGEMENT+ +

54. 2INNOVATION
FUNNEL

55. NOW
WOW

56. INTERNAL
R&D + Product
Legacy Know How
Risk Averse
NOW
WOW

57. INTERNAL
NOW
WOW

58. NOW
WOW
COLLABORATIVE
Uni. + Labs
Brilliant Minds
Slow Progress
INTERNAL

59. COLLABORATIVE INTERNAL
NOW
WOW

60. EXTERNAL
Startups
Rapid Experimentation
Vetted Access
COLLABORATIVE INTERNAL
NOW
WOW

61. COLLABORATIVE INTERNAL
EXTERNAL
NOW
WOW

62. sourced
443
61
24
filtered match finalists
8
poc due
diligence
3 1
powered by
Awesm Ventures
QUANTIFY YOUR INNOVATION INITIATIVES

63. 3START CHANGING
YOUR MINDSET
NOW

65. 4DATA
COLLABORATION

66. ALL INDUSTRIES as
we know them today
will DISSOLVE
Tommaso db

67. “Massive collaboration at
DATA LEVEL is how
innovators leverage
Artificial Intelligence
to personalize experiences”
Tommaso db

68. DATA
SUBSET

69. DATA
SUBSET
OPEN TO
INDUSTRY
& STARTUPS

70. DATA
SUBSET
OPEN TO
INDUSTRY
& STARTUPS
AI PATTERN
RECOGNITION

71. DATA
SUBSET
OPEN TO
INDUSTRY
& STARTUPS
AI PATTERN
RECOGNITION

72. DATA
SUBSET
OPEN TO
INDUSTRY
& STARTUPS
AI PATTERN
RECOGNITION
101010101

73. THE ONE
[DATA]
INDUSTRY

74. 1. Never forget where you come
from; It keeps you humble
2. BUT where you come from,
cannot limit where you want to go
Tommaso db
www.TommasoDiBartolo.com

75. @TommasoDiBartolofacebook.com/groups/be.whatittakes/