"Remote Sensing to Detect Mite Infestations in Stone Fruit Orchards"

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"Remote Sensing to Detect Mite Infestations in Stone Fruit Orchards". Adam Hale and Minghua Zhang Land, Air and Water Resources – UC Davis 2/14/07. Project Objectives. Use aerial images to detect and track mite infestations in stone fruit orchards during the growing season - PowerPoint PPT Presentation

Transcript of "Remote Sensing to Detect Mite Infestations in Stone Fruit Orchards"

"Remote Sensing to Detect Mite "Remote Sensing to Detect Mite Infestations in Stone Fruit Infestations in Stone Fruit

Orchards"Orchards"

Adam Hale and Minghua ZhangAdam Hale and Minghua Zhang

Land, Air and Water Resources – UC DavisLand, Air and Water Resources – UC Davis2/14/072/14/07

Project ObjectivesProject Objectives

Use aerial images to detect and track Use aerial images to detect and track mite infestations in stone fruit mite infestations in stone fruit orchards during the growing seasonorchards during the growing season

Investigate the possibility of saving Investigate the possibility of saving growers money by lowering growers money by lowering monitoring costsmonitoring costs

Project TasksProject Tasks

Collection of DataCollection of Data

- Field Level Data- Field Level Data

- Aerial Images- Aerial Images

Analysis of DataAnalysis of Data

Field Data GatheredField Data Gathered

Noted the level of mites on selected Noted the level of mites on selected treestrees– Based upon the UC IPM for stone fruit Based upon the UC IPM for stone fruit

guideguide

Used a remote spectrometer to Used a remote spectrometer to collect reflectance datacollect reflectance data

Low (1-20%) - an occasional mite on occasional leaf; hard to find.

Low/Moderate (21-39%) - mites easier to find but no colonies or webbing and few eggs.

Moderate (40-60%) - some leaves without mites, other leaves with small colonies; eggs easy to find but very little webbing.

Moderate/High (61-79%) - mites on most leaves, colonies with eggs, and webbing on some leaves.

High (80-100%) - lots of mites on most leaves; eggs and webbing abundant.

UC ANR Integrated Pest Management for Stone Fruits, Publication 3389. 1999

Mite RatingsMite Ratings

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0 500 1000 1500 2000 2500 3000

Low Mites

ModerateMitesHigh Mites

Spectral Reflectance CurveSpectral Reflectance Curve

Aerial Images – Kearney Ag. CenterAerial Images – Kearney Ag. Center

Manning Avenue

True Color Image

Color Infrared Image

Study Area

Frequency of Observed Mite RatingFrequency of Observed Mite Rating

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7/12

/200

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7/17

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7/22

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7/27

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8/1/

2007

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2007

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8/26

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7/21/06 - Images7/21/06 - Images

Mite Level

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8/4/06 - Images8/4/06 - Images

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8/12/06 - Images8/12/06 - Images

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Mite Level

8/21/06 - Images8/21/06 - Images

ResultsResults

Spectrometer shows that there is a Spectrometer shows that there is a difference between healthy and difference between healthy and unhealthy treesunhealthy trees

Image analysis shows that there is a Image analysis shows that there is a possibility to use remote sensing to possibility to use remote sensing to detect mite infestationsdetect mite infestations

EconomicsEconomics

While this aspect of the project While this aspect of the project needs further research this study needs further research this study hopes to determine:hopes to determine:– If there is a savings on monitoring costs If there is a savings on monitoring costs

Image analysis vs Field scoutsImage analysis vs Field scouts

– If remote sensing analysis can be If remote sensing analysis can be quicker and more efficient at observing quicker and more efficient at observing mite outbreaks than current methodsmite outbreaks than current methods

FeedbackFeedback

Is the mite rating scale appropriate?Is the mite rating scale appropriate? What is your threshold limit? What is your threshold limit? Do you think this method of mite Do you think this method of mite

detection would be useful in your detection would be useful in your field?field?

Would you be willing to participate Would you be willing to participate during the coming season?during the coming season?