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12/10/2019 1 The Purdue University Cooperative Extension Service is an equal access/equal opportunity institution. EMERGING TECHNOLOGIES ON STORED GRAIN MONITORING Clairmont Clementson, PhD Research Associate Klein Ileleji, PhD. Professor & Extension Engineer Agricultural and Biological Engineering GRAIN POSTHARVEST & RECERTIFICATION WORKSHOP Beck Agricultural Center, West Lafayette, Indiana December 5, 2019 The Purdue University Cooperative Extension Service is an equal access/equal opportunity institution. Grain PostHarvest Team Presentation Outline Need for Grain Monitoring Current Grain Monitoring Approaches Emerging Grain Monitoring Technologies

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Page 1: EMERGING TECHNOLOGIES ON STORED GRAIN MONITORING• Emerging Grain Monitoring Technologies. 12/10/2019 2 The Purdue University Cooperative Extension Service is an equal access/equal

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The Purdue University Cooperative Extension Service is an equal access/equal opportunity institution.

EMERGING TECHNOLOGIES ON STORED GRAIN MONITORING

Clairmont Clementson, PhDResearch Associate

Klein Ileleji, PhD.Professor & Extension Engineer

Agricultural and Biological Engineering

GRAIN POST‐HARVEST & RECERTIFICATION WORKSHOPBeck Agricultural Center, West Lafayette, Indiana

December 5, 2019 

The Purdue University Cooperative Extension Service is an equal access/equal opportunity institution.

Grain Post‐Harvest Team

Presentation Outline

• Need for Grain Monitoring

• Current Grain Monitoring Approaches

• Emerging Grain Monitoring Technologies

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Maintaining Quality is Job # 1 in Stored Grain Management

Importance of monitoring

An average of 100,000 bu @ $3.68 per bu = $368,000

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Importance of monitoring

• Grain is a biologically active material and therefore it will 

deteriorate in storage under favorable conditions

• Stored grain quality cannot be improved but maintained. 

• Therefore, knowing the history and initial grain quality is an 

important first step in managing grain in storage

Grain Quality after Storage = F(Ini.Quality, Mgt, ?)  How can we accurately predict this? 

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The Stored Grain Ecosystem

Temperature

Grain moisture & RH

Gases:  CO2 & O2

Solar radiation, precipitation, etc.

Mold & Mycotoxins

Insects, mites, rodents, birds

Other plant materials

Contaminants: frass, faeces, etc.

Phy., chem. & biol. controls

Grain

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Molds glue kernels together when grain goes out of condition 

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Hotspot caused by fine accumulation, insect and mold activity at the center of the bin

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Poor grain management has been noted as a primary cause of grain entrapment

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Anecdotal evidence suggests that less than 30% of grain bins on U.S. farms have some form of stored grain monitoring technology

Indiana has been one of the leading states for grain entrapment. Indiana led the nation in 2016 and has recorded 162 entrapments since 1962 (Himler, 2017; Issa et al., 2013)

With the increase in grain bin sizes for on‐farm storage, farmers today are trying to use management principles that they successfully used to manage small grain stocks

Importance of monitoring

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Current Monitoring Approaches:

You can’t manage what youdon’t know is there

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Monitor temperature with temperature cables

It takes a while to detect deterioration and hot spots using temperature cables alone

Real-time Insect Detection System

As the insect breaks the Infrared beams, its size is registered. At the same time, the time and temperature is captured inthe memory on the built-in microprocessor.

Available from:www.opisystems.com/Integris USA, LLC.

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Insect monitoring ‐ Pheromone flight trap

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CO2 Monitors – Early Spoilage Detection

CO2 sensors has been demonstrated (Ileleji et al,2006) as a reliable and quick method for detecting grain spoilage but effectiveness is weakened by the lack of rigorous data analytics and interpretation

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Comparative assessment of current monitoring technologies for stored grainCapability/Company

OPI-Integris Tri-state GSI TeleSense Amber Ag AgriDry LLC Skyway Grain ProbeS

Model OPI Blue GrainTrac Grain Viz Grainsafe Bulleye BinSense GrainPatrol

Spatial temperature monitoring

Yes Yes No Yes Yes

Headspace

Yes Yes

Spatial moisture monitoring

Yes No Yes Yes Yes Yes

CO2 monitoring No No No Not specified No No No

Automatic insect monitoring

Yes No Yes No No No No No

Automatic data logging Yes Yes Yes Yes Yes Yes Yes Yes

Grain conditioning Yes Yes No Yes No UnknownAutomatic aeration control

Yes Yes Yes Yes Unknown

Sensors on cables Yes Yes Yes Yes and No No No Yes YesInsect sensors Yes No No No No No No NoAutomatic inventory monitoring

Yes Yes Yes Yes No No Unknown

Remote data access Yes Yes Yes Yes Yes Yes Yes YesExpert service provider Yes Yes Yes Yes No Unknown

Early spoilage detection

No No No No No Unknown No No

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Most of the current systems lack adequate and easy to use analytics based on fundamental understanding of stored grain ecosystems for informed decision making

Current Monitoring Approaches:

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Emerging Technologies

Plenum

Air vent

Aeration

Treatment Grains

Conditioned Grains

Temperature sensors

CO2 sensors

RH sensors

Fan

Temperature/RH Sensor

Temperature logger

Vents

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60

65

70

75

80

85

90

95

0

1

2

3

4

5

6

7

7/3/19 7/5/19 7/7/19 7/9/19 7/11/19 7/13/19 7/15/19 7/17/19 7/19/19 7/21/19

Temperature,℉

CO2, ppm X1000

Date/Time

CO2 Top CO2 Bottom Temp Top Temp Bottom Temp_Headspace Temp_Ambient

Bin openedand grain aerated

Normal Moisture Grain (14.57%) in Sealed Bin

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60

65

70

75

80

85

90

95

0

2

4

6

8

10

12

7/3/2019 7/5/2019 7/7/2019 7/9/2019 7/11/2019 7/13/2019 7/15/2019 7/17/2019 7/19/2019 7/21/2019

Temperature, ℉

CO2, ppm x1000

Date/ Time

CO2 Top CO2 Bottom Temp Top Temp Mesh Temp Bottom Temp_Headspace Temp_Ambient

Grain Aerated

Grain with hotspot (17.9‐>16.42%) in sealed bin

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Grain at 14.57% mc

70

72

74

76

78

80

82

84

86

0

1

2

3

4

5

6

7

8

7/23/2019 12:00 7/25/2019 12:00 7/27/2019 12:00 7/29/2019 12:00 7/31/2019 12:00 8/2/2019 12:00 8/4/2019 12:00 8/6/2019 12:00

Temperature,℉

; Relative Humidity, %

CO2,ppmx1000

Date

CO2_Top CO2_Bottom Temp _Grain Top Temp_Grain Bottom Temp_Headspace RH_Headspace

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Grain with hotspot (18.86% mc)

70

72

74

76

78

80

82

84

86

0

1

2

3

4

5

6

7/23/2019 12:00 7/25/2019 12:00 7/27/2019 12:00 7/29/2019 12:00 7/31/2019 12:00 8/2/2019 12:00 8/4/2019 12:00 8/6/2019 12:00

Temperature, ℉; R

elative Humidity,%

CO2, ppmx1000

Date

CO2_Bottom CO2_Top Temp_Grain TopTemp_Grain in Mesh Temp_Grain Bottom Temp_Mesh Side

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Key Observations• Monitoring both headspace and plenum CO2 essential

• CO2 peaked with daily rise of ambient and headspace temperature

• Although there was little daily variation of temperature within the grain, the followed the general trend of atmosphere and headspace

• Temperature within the grain does not reflect the variation of CO2

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CO2 Monitoring at grain facility

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CO2 monitoring pointsCO2

sensors

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0.3

0.35

0.4

0.45

0.5

0.55

11/19 11/21 11/23 11/25 11/27 11/29 12/1 12/3 12/5 12/7

CO2,PPM ×1000

DATE

Bin13 Plenum Bin14 Plenum Bin15 Plenum Bin13 Top Bin14 Top Bin15 Top

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Thank You!Questions?