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Automate the calculation of water needs through the processing of images in the cloud (29/09/2017)

The thesis that validates the remote monitoring of the water balance of lettuce crops completes the record of doctoral research at UPCT

A new parameter, the effective diameter of the plant, allows to improve the precision of the calculation of the water needs of broadleaf horticultural crops through the processing of images in the cloud, according to the thesis of the new doctor by the Universidad Politécnica de Cartagena UPCT) José Manuel González Dodge.

With this thesis thirteen defended this month at the Polytechnic University of Cartagena (UPCT) closing the academic year with a historical record, 73 doctoral research culminated.

The Polytechnic has thus broken the record of 63 theses established last year and has doubled the usual average of 36 per academic year.

The research, led by José Miguel Molina Martínez, from the Department of Food Engineering and Agricultural Equipment of the UPCT, and co-directed by Antonio Ruiz Canales, from the Miguel Hernández, and Ginés García Mateos, from the University of Murcia, proposes a set low-cost hardware equipment and software programs for remote monitoring and automatic image processing to calibrate crop status.

In this way, you can automate the capture and sending of images from inexpensive camera modules to a cloud-safe server in which an algorithm automatically calculates crop evapotranspiration from its plant cover.

Once the water balance is estimated, a virtual interaction with the irrigation facilities would also be possible.

The thesis, developed in UPCT's Advanced Techniques in Research and Agricultural and Food Development (TAIDA) program, is part of the Telenatura spin off work, which has patented other systems to measure water needs of agricultural plantations.

Source: UPCT

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