Mobile voice-capture solutions for efficiency & productivity

Bruce Rasa, CEO and Founder, TekWear

AGVOICETM

Ag-enterprise problem todayCritical workflow-reporting gap

2

Paper based record-keepingprevalent despite inadequacies

Consumer demands forfarm-to-fork transparency

Retailer demands for sustainable agricultureand traceability

Eric JacksonPrincipal Geneticist/Systems Biologist

General Mills Crop Bioscience

Cereal Snacks Baked Goods Meals Dairy

CropBiosciences

Grain Fruit Agronomy Sustainability

General Mills

Grower Needs Miller Needs Product Needs Consumer needs

Johnson L. 2002. A dozen years of marker assisted sweet corn breeding. Presented at the International Plant and Animal Genome Meeting, San Diego, CA USA, 12 January 2002.

Advantaged Finished ProductYield Components (common)Processing components (Proprietary)Hedonic components (Proprietary)

Complex Breeding Targets

Make crosses

Inbreed, isolate lines

Small-scale trial and selection

Large-scale trial and selection

Release cultivar

Five to sevenyears

Ten to twelve years

Product testing and seed increase

Four to six years Fourteen to eighteen years

Commercialization

Classic Breeding to Commercialization Cycle

The Classic Breeding Cycle is Challenged by The Marketing Cycle

The Reality of Life…

Make crosses

Small-scale trial

Large-scale trial

Release cultivar

Make crosses

Advance populations

Genotype

Small-scale trial/Phenoty

peLarge-scale trial/Phenoty

pe

Release cultivar

Develop Prediction

model/Evaluate Crosses

Five to sevenyears

Ten to twelve years

Two

year

sFo

ur y

ears

Six to seven years

Product testing and seed increase

Four to six years = 18 years total

Optimized Breeding to Commercialization Cycle

One to Two years = 7-9 years total

Contract

End-Use Prediction

Inbreed, isolate lines

Fully Automated Workflows

rCross Validation

Optimal Population size

Model evaluation Predictor Reduction

Make the Impossible….….Possible

Min. -1 μ 1 Max.

SD

1 million crosses 1 billion progeny

Training population50 crosses20 lines/cross

All pair-wise crosses1,000 progeny/1,000 progeny

The Power of Cross Evaluation

First round selections

p_id m_id _stand_Max_stand_Range

cases_a_Max

cases_a_Range

__recovery_Max

__recovery_Range

__broken_Min

__broken_Range

_barren_Min

_barren_Range

R10Y29006 R10Y29265 44.69219871 1.777431561 518.1309745 14.64071949 0.442564923 0.028086569 0.189667176 -0.008464313 0.374090784 0.01507217R10Y29246 R10Y29265 43.95027508 1.039387864 522.6514852 -3.449515999 0.444126708 0.009561886 0.177029358 0.000743637 0.359329772 0.013659512R10Y29246 R10Y29270 43.63446413 1.913630808 517.8734575 3.45800672 0.441117766 0.011358272 0.17205068 0.002952921 0.368395154 0.004147268R10Y29246 R10Y32023 43.7315396 1.039387864 522.6514852 -4.577192414 0.444126708 0.007951696 0.176221751 0.001551244 0.361536279 0.01542278R10Y29246 R10Y32025 43.06455186 1.518941218 517.8734575 -8.444397348 0.441117766 0.014329723 0.17460368 0.003318882 0.357566504 0.014975918R10Y29265 R10Y29265 44.66953028 0.982067264 524.026492 -1.85765549 0.444126708 0.010309384 0.179238642 -0.001615214 0.353312564 0.019024488R10Y29265 R10Y29270 44.35371934 1.856310208 519.2484643 5.049867229 0.441117766 0.01210577 0.174259964 0.00059407 0.362377946 0.009512244R10Y29265 R10Y32023 44.4507948 0.982067264 524.026492 -2.985331905 0.444126708 0.008699194 0.178431035 -0.000807607 0.355519071 0.020787756R10Y29265 R10Y32025 43.78380706 1.461620618 519.2484643 -6.852536839 0.441117766 0.015077221 0.176812964 0.000960031 0.351549296 0.020340894R10Y29270 R10Y32023 44.13498386 1.856310208 519.2484643 3.922190814 0.441117766 0.01049558 0.173452357 0.001401677 0.364584453 0.011275512R10Y32023 R10Y32023 44.23205932 0.982067264 524.026492 -4.11300832 0.444126708 0.007089004 0.177623428 0 0.357725578 0.022551024Average: 44.06344764 1.400838376 520.8187026 -0.473532188 0.442617027 0.012278572 0.177217367 5.7757E-05 0.360544309 0.01516087

Recurrent Selections Round 1p_id m_id _stand_Score cases_a_Score __recovery_Score __broken_Score _barren_ScoreR10Y29265 R10Y32023 43.89548048 530.3234663 0.444126708 0.177623428 0.36262474R10Y32023 R10Y32023 43.49333887 530.3234663 0.444126708 0.177623428 0.364055556R10Y32023 R10Y32023 43.51027699 530.3234663 0.444126708 0.177623428 0.364415257R10Y32023 R10Y32023 43.51027699 530.3234663 0.444126708 0.177623428 0.364415257R10Y29265 R10Y29265 44.59265149 522.5657156 0.440906328 0.179238642 0.369762986R10Y29265 R10Y29265 44.51577269 525.877358 0.442516518 0.178431035 0.364815218R10Y29265 R10Y29265 44.34930467 523.693392 0.438972016 0.178431035 0.3597373R10Y29265 R10Y32023 44.11363108 525.877358 0.435427514 0.178431035 0.365279814R10Y29265 R10Y32023 44.2138032 525.9130514 0.444126708 0.177623428 0.364482766R10Y32023 R10Y32023 43.84755303 526.4802844 0.440582206 0.177623428 0.364965058Average: 44.00420895 527.1701025 0.441903812 0.178027231 0.364455395

Recurrent Selection Round 2

p_id m_id _stand_Max _stand_Range cases_a_Maxcases_a_Range __recovery_Max

__recovery_Range __broken_Min

__broken_Range _barren_Min _barren_Range

R10Y29265 R10Y32023 202R10Y29265 R10Y32023 202 44.37450089 0.958040811 530.3234663 0 0.444126708 0 0.177623428 0 0.352931506 0.019386468

R10Y29265 R10Y32023 202R10Y32023 R10Y32023 206 44.0725314 0.739305331 530.3234663 0 0.444126708 0 0.177623428 0 0.356294762 0.014450473

R10Y29265 R10Y32023 202R10Y32023 R10Y32023 31 44.05559329 0.722367219 530.3234663 0 0.444126708 0 0.177623428 0 0.355328542 0.016023212

R10Y29265 R10Y32023 202R10Y32023 R10Y32023 426 44.0725314 0.739305331 530.3234663 0 0.444126708 0 0.177623428 0 0.356294762 0.014450473

R10Y32023 R10Y32023 206R10Y32023 R10Y32023 206 43.77056191 0.520569852 530.3234663 0 0.444126708 0 0.177623428 0 0.359658018 0.009514478

R10Y32023 R10Y32023 206R10Y32023 R10Y32023 31 43.7536238 0.50363174 530.3234663 0 0.444126708 0 0.177623428 0 0.358691798 0.011087217

R10Y32023 R10Y32023 206R10Y32023 R10Y32023 426 43.77056191 0.520569852 530.3234663 0 0.444126708 0 0.177623428 0 0.359658018 0.009514478

R10Y32023 R10Y32023 31R10Y32023 R10Y32023 31 43.73668569 0.486693628 530.3234663 0 0.444126708 0 0.177623428 0 0.357725578 0.012659956

R10Y32023 R10Y32023 31R10Y32023 R10Y32023 426 43.7536238 0.50363174 530.3234663 0 0.444126708 0 0.177623428 0 0.358691798 0.011087217

R10Y32023 R10Y32023 426R10Y32023 R10Y32023 426 43.77056191 0.520569852 530.3234663 0 0.444126708 0 0.177623428 0 0.359658018 0.009514478

R10Y29265 R10Y32023 160R10Y29265 R10Y32023 160 44.51577269 0.804283219 527.0050344 2.25535283 0.437037704 0.00322038 0.179238642 -0.001615214 0.361500568 0.007558492

R10Y29265 R10Y32023 160R10Y29265 R10Y32023 202 44.44513679 0.881162015 528.6642504 1.127676415 0.440582206 0.00161019 0.178431035 -0.000807607 0.357216037 0.01347248

R10Y29265 R10Y32023 160R10Y29265 R10Y32023 449 44.51577269 0.704111098 527.0050344 2.219659415 0.440582206 0.00161019 0.178431035 -0.000807607 0.3597373 0.01028798

R10Y29265 R10Y32023 202R10Y29265 R10Y32023 449 44.44513679 0.780989894 528.6642504 1.091983 0.444126708 0 0.177623428 0 0.355452769 0.016201968

R10Y29265 R10Y32023 449R10Y29265 R10Y32023 449 44.51577269 0.603938977 527.0050344 2.183966001 0.444126708 0 0.177623428 0 0.357974032 0.013017468

Average: 44.10455784 0.665944704 529.4385511 0.591909177 0.443181508 0.000429384 0.177838789 -0.000215362 0.357787567 0.012548456

Year

1Ye

ar 2

Year

3

…Over Virtual Years…Power to Know

Time

Gain

Standard Plant Breeding (Linear)

End-Use Genomic Selection (Exponential)

Sweet

Crispiness

Hardness

Yield

Color

Xanthamonas

Sulfur Bitter

25.0 kgs/ha

5.0 deep green

5.8 scale

4.4 scale4.7 scale

0.21 scale

5.3 scale

5.5 scale

4.0

17.0

4.2

5.65.3

0.6

4.2

4.6

11.0

3.8

4.65.1

0.58

3.7

4.7

The Power of End-Use Projection

DNA

Proteins

Traits

Metabolites

LOGICAL

UNDERPINNING

CURATED

KNOWLEDGE

YOU

LUCKY

of

for

Smart data collection =

Information &

Learning

Data Workflows =

Neurological Net

Mobile voice-capture solutions for efficiency & productivity.AGVOICETM

Solution:

Data & Reports Compliance Work instructionsSustainability dataClient invoicesDaily, weekly reports

Voice Recognition Regional accents Technical terms Brand names

Work Flow/ChecklistsAgricultural databaseWeather historyFertilizer

Water usageImagery

Retrieve

Generate

Voice notesPhotosGeo-coordinates Sensor measurementsTime stamps

TekWear Copyright

Voice-Assist DesignEnterprise WorkflowWork Orders

Universal AccessPartner APIWalkie-Talkie Mode

Spring 16’ 2H 16’ 2H 17’+

Critical AlertsOffline ModeVoice SearchSpanish English

Big Data AnalyticsPro-Active Assistant

AGVOICE - Roadmap

TekWear Copyright

8

Under Develop-ment

Phase 2

Phase 3

Phase 4

IP

22 ClaimsFiled: April, 2015U.S. & International

An experienced team:

CEOBruce Rasa

20+ yrs (IBM, NCR & AGCO)Strategic Mkt & Product Mgmt.

Chief Revenue OfficerAaron Gobin

10+ yrs Enterprise Sales Expert

Experience EngineerJohn Swansey

25+ yrs Design & UX Innovation 35 Patents & 40 Design Awards

CTOErick Kobres

25+ yrs Software InnovationStart-up experience , 20+ Patents

Key advisors:

Phil VentimigliaChief Innovation OfficerGeorgia State University

23

Kip PendletonSerial Ag-Tech

Entrepreneur & Advisor

Voice experts including developers of:

Amazon ECHOSIRI (Apple)Dragon NaturallySpeakingGoogle Glass

Global Market Opportunity

$4.3 Billion annually

Mobile-to-cloud solutionallows global scale

Animal Health:

24

Crop Health:

Veterinarians Inspectors Producers

Ag Professionals Machinery Repair Auditors / In-surance

Information, data, and drawings embodied in this presentation are strictly confidential and supplied on the understanding that they will be held confidentially and not disclosed without the prior written or electronic consent of TekWear, or it’s members

AGVOICETM

www.TekWearAg.com

Thank You Thank You

www.AgVoiceGlobal.com

AGVOICETM