pocketlai: a smartphone app. for estimating leaf area index
DESCRIPTION
Dr. Roberto Confalonieri and Dr. Marco FoiUniversity of Milan, ItalyFriday, October 11, 20131:30-2:30pmSSD Conference Room, Drilon HallSSD/CESD Division SeminarTRANSCRIPT
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PocketLAI
A smartphone app for estimating leaf area index
Roberto Confalonieri, Marco Foi
University of Milan, Cassandra lab
PocketLAI – IRRI, 8-11 October 2013
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Leaf area index
• Total one-sided area of leaf tissue per unit ground surface
• Key variable for analyzing the interaction between plants and atmosphere
o amount of radiation intercepted
o plant water requirements
o CO2 sequestration
o assimilation of exogenous information in simulation models
o forecasting purposes
PocketLAI – IRRI, 8-11 October 2013
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How to derive LAI?
• It can be measured
1. collection of leaves
2. measurement of their area
dedicated instruments
acquiring and processing leaf images
PocketLAI – IRRI, 8-11 October 2013
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How to derive LAI?
• It can be estimated
o allometric relationships
o inversion of light transmittance models
LAI-2000, LAI-2200
ceptometers (AccuPAR, SUNSCAN)
CI-100
hemispherical cameraSuitable for extensive campaigns
PocketLAI – IRRI, 8-11 October 2013
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Context: commercial tools
LAI-2000 (now LAI-2200) and ceptometers
• quite expensive (4500 - 10000 $)
• characterized by low portability (12×24×109 - 65×14×43 cm; 4.15 - 6.5 kg – with cases)
• long and expensive maintenance services in case of damages
…field campaigns can be interrupted!
PocketLAI – IRRI, 8-11 October 2013
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Context: smartphones
• Production volumes a bit larger than those of LAI-2000 and ceptometers…
• Competing pressure is leading producers to provide devices with wonderful hardware
• High quality sensors and computational capability for a few hundred dollars (games!)
• …the possibility of making/receiving telephone calls is becoming somehow secondary
PocketLAI – IRRI, 8-11 October 2013
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Indirect methods
Light transmittance models relating gap fraction (P0) and LAI
• Poisson model for random spatial distribution of infinitely small leaves
o θ is the probe angle
o k is the extinction coefficient, function of θ and χ (Campbell ‘s ellipsoidal leaf angle distribution)
PocketLAI – IRRI, 8-11 October 2013
LAIkeP 0
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How LAI is estimated?
Solutions: modified versions of the model
• Ceptometers
o information on canopy structure & direct/diffuse radiation
• LAI-2000
o five probe angles: no other information needed
• …57.5° zenith angle (Warren-Wilson, 1963; Baret et al., 2010)
o neither information on canopy structure, nor different angles are needed
o we started from here
PocketLAI – IRRI, 8-11 October 2013
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PocketLAI - flowchartPocketLAI – IRRI, 8-11 October 2013
STOP
START
Specify a code for themeasure and start the acquisition procedure
Rotate the device along its main axis starting with the display oriented downward
and concluding withit in vertical position
Wait 5 sec. to allow theuser to put the device
below the canopy. Thengive a signal to user
Is the angle betweenthe vertical and the normal to the
screen = 57.5°?
NO
YES
Acquire information
Process information
Storedata
Export datain tabular and
GIS format
Put the device above the canopy
Visualize results on the display
(only for App-L)
segmentationluminance
Two methods:
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PocketLAIPocketLAI – IRRI, 8-11 October 2013
An integrated quick manual is available
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PocketLAIPocketLAI – IRRI, 8-11 October 2013
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PocketLAI – IRRI, 8-11 October 2013
PocketLAI
segmentation based on pixels intensity (leaves darker than cloudy sky)
segmentation based on pixels chromatic values in an HSB color space (blue pixels detected)
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PocketLAIPocketLAI – IRRI, 8-11 October 2013
we’ve seen that angles are important for indirect methods…
we used the device accelerometer to derive an inclinometer
1
0
0
RRg
G
G
G
G
pz
py
px
p
cossin0
sincos0
001
xR
cos0sin
010
sin0cos
yR
100
0cossin
0sincos
zR
22cossintan
pzpy
px
pzpy
pxxyz
GG
G
GG
G
pz
pyxyz G
Gtan
imagesautomatically acquired at 57.5° while the user is rotating the device
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PocketLAIPocketLAI – IRRI, 8-11 October 2013
Images are acquired in live-preview mode
Baret et al. (2010) Agr. For. Met. 150, 1393-1401
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ProcessingPocketLAI – IRRI, 8-11 October 2013
)5.57cos(5.0
0 5.57LAI
eP
1) segmentation
2) Luminance (L, candela m-2) … using device “exposimeter”
St
kNL
2
above
below
L
LP0
• N is the f-number or focal ratio• t (sec) is the exposure time• S is the ISO sensitivity• k is the reflected-light constant• β correction factor for scattered radiation
below the canopy
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PocketLAI – Tests
1. Evaluation of PocketLAI and other indirect methods (AccuPAR ceptometer, LAI-2000) for rice by adapting the ISO 5725 protocol for the validation of analytical methods
2. Comparison with AccuPAR ceptometer for canopy structures deviating from the assumption behind the light transmittance model implemented in PocketLAI
PocketLAI – IRRI, 8-11 October 2013
Confalonieri et al. (2013) Comput. Electron. Agric. 96, 67-74
Francone et al. (2013) Field Crop. Res. in press
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PocketLAI – Tests (1), methods
ISO 5725-2: Accuracy
PocketLAI – IRRI, 8-11 October 2013
0
2
4
6
8
media = 4media = 4mean = 4mean = 4
0
2
4
6
8
media = 4media = 6
mean = 4mean = 6
Trueness
Precision
Repeatability(variability just due to the replicate effect)
Reproducibility(variability due to different users, etc.)
Inter-laboratory tests or ring tests
or ring trials
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PocketLAI – Tests (1), methods
Inter-laboratory tests (ISO 5725):
• different laboratories
• different operators for each laboratory
• different levels for the analyte
• different replicates for level, lab, operator
• presence of reference materials
PocketLAI – IRRI, 8-11 October 2013
trueness
repeatability
linearity
reproducibility
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PocketLAI – Tests (1), methods
Inter-laboratory tests (ISO 5725):
• different laboratories
• different operators for each laboratory
• different levels for the analyte
• different replicates for level, lab, operator
• presence of reference materials
PocketLAI – IRRI, 8-11 October 2013
4 groups, each composed of 4 students• different sowing densities
• different moments during crop cycle
• homogeneous (small) plots split in quadrants
• each quadrant corresponds to a single replicate (to avoid trampling effects)
LAI from destructive method (20 plants plot-1)
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PocketLAI – Tests (1), methods
Inter-laboratory tests:
1. outliers detection (among laboratories for each level)
• Cochran’s test (variances)
• Grubbs’ test (means)
2. trueness (RMSE, ME, CRM), linearity
3. Precision
• standard deviation, limit ( ) of repeatability
• standard deviation, limit ( ) of reproducibility
PocketLAI – IRRI, 8-11 October 2013
tsr r 2tsR R 2
t = critical value of the Student t distribution (2 tails) at 95% confidence level for n-1 freedom
degrees
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PocketLAI – Tests (1), resultsPocketLAI – IRRI, 8-11 October 2013
• App-L is the most accurate
• The other methods present similar performances
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PocketLAI – Tests (1), resultsPocketLAI – IRRI, 8-11 October 2013
a: repeatability limit. 1 b: relative standard deviation of repeatability. 2 c: reproducibility limit. 3 d: relative standard deviation of reproducibility. 4 e: laboratory 3 is an outlier according to the Cochran test. 5 f: corrected value (sr set equal to sR in case sr > sR; Orwitz, 1995; Scaglia et al., 2011). 6
• App-G:one of themost precise
• App-L: decidedly the less precise
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PocketLAI – Tests (1), resultsPocketLAI – IRRI, 8-11 October 2013
• No relationships between repeatability and LAI limit
• Only App-L (luminance) presents a significant relationship between reproducibility and LAI
Repeatability Reproducibility
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PocketLAI – Tests (2)
Assumption behind models for light transmittance into the canopy:
“Small leaves randomly distributed within the canopy”
PocketLAI – IRRI, 8-11 October 2013
Rice canopies do not deviate so much……but others do!
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PocketLAI – Tests (2), methods
• Three canopies markedly deviating from the assumption behind light transmittance model
o maize: big leaves, row seeded
o giant reed: big leaves, row-planted, plants far from each other, marked tillering aptitude
o grassland: often not homogeneous (no random distribution)
• We just compared PocketLAI estimates with those provided by the AccuPAR ceptometer
PocketLAI – IRRI, 8-11 October 2013
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10 cm10 cm
PocketLAI – Tests (2), methods
Measurement protocols (1):
• ceptometer
o maize: Facchi et al. (2010)
o giant reed & grassland:
• PocketLAI
o maize:
o giant reed & grassland:
PocketLAI – IRRI, 8-11 October 2013
Facchi et al. (2010) J. Ag. Eng. 1, 33-40
× 2 replicates
5 readings below × 2 replicates
5 readings × 2 replicates
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PocketLAI – Tests (2), resultsPocketLAI – IRRI, 8-11 October 2013
maize giant reed grassland
Giant reed (& maize):• overestimation for low values (big leaves + clumping effect)• underestimation for values higher than 5 m2 m-2
Grassland:• no systematic under/overestimations• more replicates needed (heterogeneity, AccuPAR 80 cm-probe)
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PocketLAI – Conclusions
• PocketLAI resulted comparable – for rice – to commercial tools for both trueness and precision
• It represent a nice solution
o in contexts characterized by low availability of resources
o when portability is an important requisite
o in cases when a large number of instruments is needed
PocketLAI – IRRI, 8-11 October 2013
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• PocketLAI – Remarks
• It presented a device-effect (especially for low-cost products), thus requiring to apply calibration facilities (…and the need for developing automatic calibration facilities)
• It resulted less robust in cases of canopies markedly deviating from the assumptions behind light transmittance models are (maize, giant reed, grassland)
• An automatic selection of the segmentation algorithm would
o improve user experience and
o reduce subjectivity in evaluating how cloudy the sky is
PocketLAI – IRRI, 8-11 October 2013
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Pocket… NPocketLAI – IRRI, 8-11 October 2013
…coming soon
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PocketLAI – IRRI, 8-11 October 2013
Simplicity is complexity resolved
(C. Brâncuşi)
Thanks so much for the invitationand for your kind attention