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Sept2017

Preparedby

ImprovingManagementofAgEnergyandWaterUse

JimAnshutzKurtMaloneyTimYoung

Sept2017

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AStoryAboutanIrrigationSystem

JimAnshutz

Sept2017

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Sept2017

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PumpPlant

Efficiency21.5%

30HP

60HP

1PSI

23PSI

9PSI

18PSI

15PSI

Sept2017

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Sub-MainFlush

FreshWaterClamShells

WrongPressureSettings

BrokenRegulators

CloggedScreens

Sept2017

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FlowVariationThroughouttheSystemwasHorrible

Sept2017

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EffectsofPoorDistributionUniformity

0 1005 10 15 2520 30 4035 45 50 6055 65 70 75 80 85 90 95

2

1

4

3

5

6

DU=.6

DU=.7

DU=.8DU=.9

DU=1.0

%ofFieldReceivingthe“AppliedWater”

AppliedWater–AcreFoo

t

Sept2017

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CaliforniaIrrigationInstitute2015Conference

“TheRestoftheStoryonIrrigationEfficiency”

“Approximately55%ofthecropnon-uniformityiscausedbyirrigationsystemdistributionuniformity”

CharlesMBurtChairman,IrrigationTrainingandResearchCenter

CalPolySanLuisObispo,CA

Sept2017

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BrianHockettDistrictManger,NorthWestKernCounty,ResourceConservationDistrict

IrrigationMobileLaboratory

27YearTimePeriod

Sept2017

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WithoutKnowingtheSystemPerformanceHowCanWeImplementSmartDeviceMonitoringandtheSchedulingofIrrigations?

Sept2017

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MoistureMeasuringDevice

Sept2017

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SummaryofMarch2017Report

“ImprovingMgmt.of

AgEnergyandWaterUse”

KurtMaloney

Sept2017

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ProjectGoalsIdentifytypesofinformation,softwareandhardwareusedforIrrigationmanagementDeterminethecurrentadoptionrateoftechnologyIdentifygapsandstrategiesforacceleratingadoption

Sept2017

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ProjectDescriptionLiteraturereviewCollectedinformationfromGrowersviaOn-lineSurveyConductpersonalinterviews

ManufacturersIrrigationDealersGrowersGovernmentConsultantsAcademia

Sept2017

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DataSource:UnitedStatesDepartmentofAgriculture1988,1994,1998,2003,2008and2013FarmandRanchIrrigationSurvey

Sept2017

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DataSource:PG&E’semergingTechnologiesProgramReportET14PGE1501SoilMoistureSensorTechnology– ImpactonWaterPumpinginAgriculturalCrops 2014

715

2127

3132

3673

5206

5344

7429

14922

18097

33163

0 5000 10000 15000 20000 25000 30000 35000

ComputerSimulationModels2%

PlantMoistureSensingDevice5%

CommercialorGovernmentalSchedulingService7%

WhenNeighborsBegintoIrrigate8%

ReportsonDailycrop-waterevapotranspiration12%

SchedulebyWaterDeliveryService12%

SoilMoistureSensingDevice17%

PersonalCalendarSchedule34%

FeelofSoil41%

ConditionofCrop75%

MethodsUsedinDecidingWhentoIrrigate

Sept2017

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DataSource:ManagementofAgriculturalEnergyandWaterUsewithAccesstoImprovedDataSurveySeptember2016

94

78

32

28

23

7

0 10 20 30 40 50 60 70 80 90 100

WaterMeters36%

Time(hoursperirrigation)30%

PumpTest12%

DistrictRecords11%

EstimatedPumpFlow9%

NoMeasurement3%

MethodtoDetermineHowMuchWaterisBeingAppliedwithEachIrrigation

Sept2017

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Data Source: “An Analysis of Mobile Laboratory Irrigation System evaluation Data: Agricultural Systems” Blain Hanson, Wil Bowers: Department of Land, Air and Water Resources, University of California, Davis, CA Bayohay Davidoff: State Department of Water Resources, Sacramento CA Arturo Carajol: Mobile Laboratory, State Department of Water Resources, Sacramento, CA

0%

2%

4%

6%

8%

10%

12%

14%

16%

18%

20%

<50% 50 - 55 % 55 - 60% 60 - 65% 65 - 70% 70 - 75% 75 - 80% 80 - 85% 85 - 90% 90 - 95% >95%

PercentofFarmsMeasuredDistributionUniformity458FarmsTested

0%

2%

4%

6%

8%

10%

12%

14%

16%

18%

20%

<50% 50 - 55 % 55 - 60% 60 - 65% 65 - 70% 70 - 75% 75 - 80% 80 - 85% 85 - 90% 90 - 95% >95%

PercentofFarmsMeasuredDistributionUniformity458FarmsTested

0%

2%

4%

6%

8%

10%

12%

14%

16%

18%

20%

<50% 50 - 55 % 55 - 60% 60 - 65% 65 - 70% 70 - 75% 75 - 80% 80 - 85% 85 - 90% 90 - 95% >95%

PercentofFarmsMeasuredDistributionUniformity458FarmsTested

48%

31%

21%

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ImpactofPoorD.U.Performance80AcreSystem

How to use this chart:If a grower wants to apply 3 acre feet of irrigation to all parts of the field, then depending on the degradation of Uniformity he must compensate by over applying in some of the field. This chart calculates the wasted water, energy and fertilizers based on the over application.

IncreasedQuantityofInputsperAcreperYearDuetoD.U.DegradationBaseduponaNewSystemDUof90%

DistributionUniformity

Inputs 85% 80% 75% 70% 65% 60%

FertilizerLbs./Acre 17 35 60 80 110 140

WaterinAcreFeet(SurfaceWaterSupply) 17 33 53 77 103 133

EnergyCost/Acre@$0.18 $5.00 $15.00 $25.00 $35.00 $45.00 $55.00

Sept2017

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ProjectKeyFindings/Results

Doyouirrigateasefficientlyasyoucould,consideringuniformityandtime/amount?

Isitimportanttoyoutoknowtheuniformityofyourirrigationsystem?

Haveyouhad yourirrigationsystemevaluatedforuniformity?

Yes

No

92

22 1

113

46

68

DataSource:TheCenterforIrrigationTechnologyReportMarch2017,ImprovingMgmt.ofAgEnergyandWaterUse

Sept2017

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10% 20% 30% 40% 50%

Increase NoChange Decrease

ChangeinWaterUsebecauseofSMSuse

DataSource:PG&E’semergingTechnologiesProgramReportET14PGE1501SoilMoistureSensorTechnology– ImpactonWaterPumpinginAgriculturalCrops 2014

Sept2017

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12,555

9,198

8,061

6,475

5,171

4,403

1,799

0 2,000 4,000 6,000 8,000 10,000 12,000 14,000

Investigatingimprovementsnotapriority

Cannotfinanceimprovements

Uncertaintyaboutfutureavailabilityofwater

Riskofreducedyieldororpoorercropquality

Improvementswillnotreducecostsenoughtocoverinstallationcosts

Physicalfield/cropconditionlimitsystemimprovements

Landlordwillnotshareincost

BarrierstoMakingImprovementstoReduceEnergyUseorConserveWater

DataSource:USDA,NationalAgriculturalStatisticsService,2012CensusofAgriculture,FarmandRanchIrrigationSurvey2013

Sept2017

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ProjectKeyFindings/ResultsNotEasytoDeployEquipmentLowTrustinTechnologyandDataprovidedLackofsatisfactoryperformancebysomemanufacturers/dealershaslimitedrateofadoptionSomeSMSmanufacturersand/orgrowersdonotunderstandpotentialBenefitsofSmartMeters

Sept2017

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ProjectKeyFindings/ResultsEQIPpaidforasignificantportionofSMSequipment,butarenotutilizedforschedulingirrigationeventsStateWideEnergyEfficiencyProgram(SWEEP)hasnotachieveddesiredadoptionrateofSMS(dataunverified)Technologycompaniesoveremphasizewatervs.yieldratio’sattheexpenseofotherbenefitsGrowersareresistanttoinitialCost+SubscriptionFeeplatformsWholesaledistributionchannelsarechallengedtobeprofitable

Sept2017

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WatermovementthroughsoilisNOTfullyunderstoodbymanygrowers,thereforesensordatadoesn’talignwithexpectations/actions,reducingconfidenceofinformationManygrowersdonotrecognizethepotentialofwaterandenergyreductionsfromSMStechnologiesMostgrowersdonotassociateotherinputcostreductionsoryieldincreaseswithSMStechnologies.Growersdesireactionabledata

DevelopedbyAgH2O

ProjectKeyFindings/Results

Sept2017

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BarriersandGaps

WhatshouldbeDone

TimYoung

Sept2017

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OverarchingBarriersEntrenchedCulturalpractices

WaterhasbeentakenforgrantedinCaliforniaAdoptionrateisrelativelyslowGrowersarebeginningtosharestoriesonhowenergyandwatercostscanbebettermanaged

IrrigationschedulingGrowersdonotseethevalueofimprovingirrigationscheduling.LackofunderstandingonhowefficientanirrigationsystemshouldbeGroweroftenresortstowhathasbeendoneinthepast

CostandreturnoninvestmentGrowersdon’tconsiderinvestmentcostsorROI’sManygrowersmaynothavetheinformationordatacriticaltomakingtheresourceinvestmentGrowerswouldbenefitfromtakingabroaderviewbyincludingenergyandfertilizersascostreductionopportunitiesassociatedwithimprovedirrigationuniformityandscheduling

Sept2017

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OverarchingBarrierscont.Criticalpath

Simplystated,otherissuesonthefarmneedtobedealtwithfirst.Growersaresimplyconfusedbythemultitudeofoptions

ComplexityanduncertaintyUnderstandingtheinteractionbetweenvariousinputsandtheiraffectononeanother.

LearningcurveGrowersdonothavethetimegiventhedailycomplexityoftheirothertasks

Sept2017

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BarriersandGapsMoreintensiveeducation

Properuseofirrigationwaterasitrelatestothebalanceofplant,soil,andwaterisneeded.SimplifyingthecomplexityofanalyzingdataBetterunderstandingofthebasicsofsoilsandplantneedswillhelpincreaseproficiency

AbetterunderstandingofwatermovementinvarioussoiltypesGrowersmustlearnthatwhatgooddistributionuniformityisandhowtomaintainthoselevelsoftheirsystemSystemoperatorsshouldbecomeproficientinmeasuring,maintaining,operatingandschedulingirrigation torealizefullbenefitsandcostcontainmentThedevelopmentofmorecomprehensivedesigntrainingforirrigationdealers

Developmentofdesignstandardsincludingbestpractices.Predictivecostofannualownership.Impactofsizingpipingandcomponentsasitimpactswater,energy,systemfunctionalityandflexibilityCompletelyunderstandofReturnonInvestment(ROI)andTotalCostofOperation(TCO).

PromotionsofSmartMeters,andtheirusesandbenefitsneedtobeconsidered..

Sept2017

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Government

Academ

ic

Grower

ViewofToday

Sept2017

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WhatNeedstoHappenGoingForward

Independentmarketsegmentthinkingisdependentonbringingthosesegmentstogethertoeducate,presentvalue,meetregulationsandcustomerneedstoachievemutualsuccessthatissustainable.

Government

Academ

ic

Grower

Sept2017

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TheuseofSmartDeviceswillaidAginresourcereductionandyieldimprovementsonlyifwe

areALLSMART