PocketLAI is an Android mobile application allowing the estimation of leaf area index (LAI) using any modern Android smartphone. The patented logic is based on image data acquired from the device camera while user rotates the phone along its elongation axis in front of the canopy. Stored frames are processed in real-time and image statistics are then used in radiation-tranfering models to compute the output LAI estimate.
PocketLAI is ony available for Android.
No iPhone version is planned in short times.
Data is stored within the user device. LAI values can be browsed in the Table View where they are grouped basing on the parcels database created by the user while taking the measurements.
For each measurement spot GPS coordinates can be eventually recorded.
A minimum default number of measurement replicas are suggested by PocketLAI to improve LAI reading accuracy. The Settings View allows the the user to change this value to either take a more qualitative approach or focus on quality of results.
An optional outlier filter based on Grubbs’ Test can be applied to replica values to automatically discard bad readings before computing the average on the measurement set.
All LAI values can be exported in several formats for office post-processing activities. Among the export formats the Shape File format (.SHP) allows for easy plotting on maps.
PocketLAI does not require any data connection beside in the activation step. All Data never leaves the device unless due to user actions. Cassandra Tech never touches, monitors or stores any information the user creates with the app. No cloud storage/backup is provided for LAI data whose backup is entirely in user responsibilities.
PocketLAI was tested with success on a variety of full-field crops as well as trees species.
Its measurements have been compared with those from LAI-metering phisical devices (e.g., LAI2000, ceptometers) and the results have been published on several peer-reviewd international scientific journals.
Such outcomes support the reliability and accuracy of PocketLAI in estimating leaf area index (LAI) when the required conditions are met.
PocketLAI FAQ ENG
Once you have installed and ad started the App, enter 'Data' page. Here press the 'Request activation code' button': you will be led to a web page whe you have to provide:
- your name
- your mail address
- you phone model
Please complete the request form by cheking the "I am not a robot" flag and press the [SUBMIT] button.
Before leaving the page, wait for the submission confirmation.
Our Staff will soon send you an activation code by mail. Once you get it, enter the App and copy it inside the field named 'Insert unlocking code', available in the 'Data' page of PocketLAI.
Restart the app to unlock all features.
Reference scientific papers
Confalonieri, R., Foi, M., Casa, R. et al., 2013. Development of an app for estimating leaf area index using a smartphone. Trueness and precision determination and comparison with other indirect methods. Computers and Electronics in Agriculture, 96, 67-74.
Francone, C., Pagani, V., Foi, M., Cappelli, G., Confalonieri, R., 2014. Comparison of leaf area index estimates by ceptometer and PocketLAI smart app in canopies with different structures. Field Crops Research, 155, 38-41.
Orlando, F., Movedi, E., Paleari, L., Gilardelli, C., Foi, M., Dell’Oro, M., Confalonieri, R., 2015. Estimating leaf area index in tree species using the PocketLAI smart app. Applied Vegetation Science, 18, 716-723.
Campos-Taberner, M., García-Haro, J., Confalonieri, R., Martínez, B., Moreno, Á., Sánchez-Ruiz, S., Gilabert, M.A., Camacho, F., Boschetti, M., Busetto, L., 2016. Multitemporal monitoring of plant area index in the Valencia rice district with PocketLAI. Remote Sensing, 8, 202-17.
Orlando, F., Movedi, E., Coduto, D., Parisi, S., Brancadoro, L., Pagani, V., Guarneri, T., Confalonieri, R., 2016. Estimating LAI in vineyard using the PocketLAI smart-app. Sensors, 16, 2004.