PocketLAI


PocketLAI
PocketLAI is the first mobile app for leaf area index (LAI) estimates.
The app uses the smartphone (or tablet) camera and accelerometer to automatically acquire images at 57.5° below the canopy while the user is rotating the device along its main axes. Images are processed using an internal, completely unsupervised segmentation algorithm to derive the gap fraction and, in turn, LAI. An app for optimal sample size determination (PocketVJ) is also available that, if installed, is integrated in the PocketLAI workflow.
PocketLAI was successfully evaluated for paddy rice canopies against data obtained with direct (planimetric) measurements, and results were fully consistent with those provided by commercial instruments (i.e., LAI-2000 and AccuPAR ceptometer) in terms of trueness, repeatability and reproducibility (Confalonieri et al., 2013). A second test was performed on canopies (maize, giant reed, natural grassland) markedly deviating from the ideal assumption behind the simplified model for light transmittance into the canopy implemented in the app (i.e., random distribution of infinitely small leaves), providing even in this case satisfying results (Francone et al., 2014). Good results were also achieved for broadleaf bush and tree canopies in continuous forest stands, orchards and sparse vegetation (Orlando et al., 2015).


Product Manager: Roberto Confalonieri


2016 - Remote Sensing, 8, 202-17
Multitemporal monitoring of plant area index in the Valencia rice district with PocketLAI.
Campos-Taberner, M., García-Haro, J., Confalonieri, R., Martínez, B., Moreno, Á., Sánchez-Ruiz, S., Gilabert, M.A., Camacho, F., Boschetti, M., Busetto, L.

2015 - Applied Vegetation Science, in press
Estimating leaf area index in tree species using the PocketLAI smart app
Orlando, F., Movedi, E., Paleari, L., Gilardelli, C., Foi, M., Dell'Oro, M., Confalonieri, R.

2014 - Field Crops Research, 155, 38-41
Comparison of leaf area index estimates by ceptometer and PocketLAI smart app in canopies with different structures.
Francone, C., Pagani, V., Foi, M., Cappelli, G., Confalonieri, R.

2013 - Computers and Electronics in Agriculture, 96, 67-74
Development of an app for estimating leaf area index using a smartphone. Trueness and precision determination and comparison with other indirect methods.
Confalonieri, R., Foi, M., Casa, R., Aquaro, S., Tona, E., Peterle, M., Boldini, A., De Carli, G., Ferrari, A., Finotto, G., Guarneri, T., Manzoni, V., Movedi, E., Nisoli, A., Paleari, L., Radici, I., Suardi, M., Veronesi, D., Bregaglio, S., Cappelli, G., Chiodini, M.E., Dominoni, P., Francone, C., Frasso, N., Stella, T., Acutis, M.



University of Queensland
http://www.uq.edu.au/
 
University of Florence
http://www.unifi.it/
 
Universitat de Valencia
http://www.uv.es/
 
Politecnico di Milano
http://www.polimi.it/
 
International Rice Research Institute
http://irri.org/
 
Hellenic Agricultural Organization "DEMETER"
http://www.nagref-her.gr/en
 
Ferrero S.p.A.
http://www.ferrero.com/
 
CSIRO Land & Water
http://www.clw.csiro.au/
 
CNR - Consiglio Nazionale delle Ricerche
www.cnr.it
 
Allianz SE Reinsurance
http://www.allianzre.com/
 
Macquarie University
http://mq.edu.au/
 
Beijing Normal University
http://english.bnu.edu.cn/
 

    Related videos

  • PocketLAI Tutorial : Basic usage

  • PocketLAI Tutorial : Exporting Data