CNR4all - PRESeT Platform: 3D reconstruction and segmentation of plants under different levels of water stress conditions for the evaluation of phenotypic resistance traits.

The present work is focused on PRESeT platform usage, in order to assess phenotypic traits of potted plants under water stress condition. The platform consists of a sliding system on which a common RGB (red, green and blue) camera is installed and rotating plates useful for supporting potted plants, humidity and weight sensors, logic unit, SD card and WI-FI system. The camera acquires a series of photos of the single-plant whole-shape, moves towards the next plate and begins a new 360° scan. Subsequently, specific processing software and tools allow to reconstruct the 3D plant shape by overlapping images, automatically segment them and extract morphological parameters linked to resistance traits.
The main aim of the PRESET project is to make available an innovative low-cost phenotyping platform, fully automated and easy to replicate. In particular, it will be possible to increase the knowledge about the phenotypic behaviour of different crops in response to particular abiotic and/or biotic stress conditions. Subsequently, information obtained could be transferred at the field level, identifying the genetic characteristics of new varieties and the main inter and intra-specific resistance differences of crops without expensive and time-consuming handmade measurements.

Tutti gli orari

Sunday 20 October
From 11.00 am to 12.00 pm
8.STAGE8B pav. 8
CNR4all - PRESeT Platform: 3D reconstruction and segmentation of plants under different levels of water stress conditions for the evaluation of phenotypic resistance traits.

Marco Moriondo

Dr. Marco Moriondo:
I was born in Florence (FI), Italy, on April 23th 1968. In 2001 I obtained the PhD degree in Agrometeorology at the University of Sassari and in 2003 the master’s degree in Applied Meteorology at the University of Florence. Currently, I am a III level researcher for the National Research Council – Biometeorology Institute (CNR-IBIMET; via Caproni 8, Florence, Italy).
The research activity mainly concern modelling applied both in agronomic and forestry, oriented to the estimation of climate change impacts. Additional activities are focused on meteorological sensors development for the estimation of environmental variables starting from stations placed on vectors and on automatic platform implementation for phenotyping plants in laboratory.
Dr. Riccardo Rossi
I was born in Montevarchi (AR), Italy, on December 17th 1993. I graduated from the three-year degree course in Agricultural Sciences at the University of Florence during the 2014-2105 academic year and I obtained the master's degree in Agricultural and Environmental Sciences at the University of Florence during the 2017-2018 academic year. During university studies, I have acquired knowledge in the field of GIS, agrometeorology, remote sensing and precision agriculture, thanks also to stages at international institutes like University of Glasgow and University of Novi Sad. Currently, I am a first year PhD student in the Department of DAGRI at the University of Florence. The aim of my PhD is the implementation of an automatic and low-cost phenotyping platform for monitoring the crop responses to different environmental stress.


Category Workshops · Type Workshop
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