Water quality monitoring using RGB cameras

indy magnus

Indy Magnus: In this presentation, we will explain how a ‘Water-Quality Early Alert System’, enabling the remote, continuous and real-time monitoring of water using RGB cameras is being developed. Generally, the idea is to correlate the RGB camera images to a variety of physicochemical parameters and biological parameters without direct contact or the need of water samples. By doing a spectroscopic study of water with different parameters, using both a spectroradiometer and hyperspectral camera, the RGB camera outlook (filters, lenses) can be optimized. Machine learning techniques are employed to process the high-dimensional data and push the sensing performance even further.

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Deep Tech and Water quality Early Alert

Pablo Perez

Pablo Perez: Deep Tech: A game changing solution aiming the intersection of three disciplines: software combined with hardware and spectroscopy. A Water-quality Early Alert System (WEAS) based on water pictures analysis to remotely (in-situ) and real time evaluate water parameters (Color, Turbidity, pH, Conductivity, DO, COD, BOD, SS, Amonia) at any sampling point using water images, in a easy to use and cost effective way.

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Earth Observation data benefits in the Agricultural sector

Francesca Piatto

by Francesca Piatto, EARSC

Earth Observation data and information play an essential role in supporting agriculture industry, farmers, technology suppliers, as well as governmental bodies at local, regional, and national level, and giving policymakers access to the best information possible to make informed decisions.

To this end, EARSC, the European Association of Remote Sensing companies, a participating organization of the Group of Earth Observation (GEO), promotes the use of Earth Observation technology and represents the European providers of geo-information services, creating a network between industry, decision makers and users.

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User-centric approach to facilitate a widespread uptake of satellite-based solutions for agri-food sector

Annalisa Donati

by Annalisa Donati, Eurisy

The European agricultural sector is one of the world leading producers of food, guarantor of food security and quality and provider of millions of jobs. Yet it faces many challenges from environmental pressures, mostly related to climate change and loss of biodiversity, to the need for sustainable and efficient management of resources such as water, soil and energy.

Data-based technologies, including satellite positioning systems like GPS, remote sensing, and the Internet have the potential to increase farm efficiency and improve production, and also to contribute to making farming systems more sustainable from an economic, social and environmental point of view.

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Next-level integrated spectral sensors for agrifood applications

Maurangelo Petruzzella

by Maurangelo Petruzzella, Senior Researcher, Eindhoven University of Technology

We will discuss the recent development of integrated spectral sensors capable of identifying and quantifying key properties of fruits, plants, and organic materials along the full food production chain: on the field by farmers, in storage areas, within the distribution process.

This innovative technology is based on arrays of detectors sensitive in the near-infrared, having dimensions similar to current smartphone cameras. They will offer a fast, low-cost, contactless, and non-invasive method to retrieve the chemical composition of materials without the need for sample preparation.

Maurangelo was a speaker at the 2020 edition of the Smart Farming Conference.

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e-shape – EU CAP Support Pilot: A machine learning enabled system for dynamic phenology estimation and yield prediction using satellite and in-situ observations

Vassilis Sitokonstantinou

by Vassilis Sitokonstantinou, National Observatory of Athens / Beyond Center of Earth Observation Research and Satellite Remote Sensing

Under the framework of e-shape H2020 EU project and the S1P2 EU CAP Support pilot, a number of novel services are developed as an integrated smart farming system; targeting farmers, farmers’ associations, paying agencies of the Common Agricultural Policy (CAP), but also the agri-insurance sector. The services comprise of the near-real time identification of the onset of key phenological stages and the timely prediction of yield.

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Developing tailored services for the agro-insurance sector over northern Greece: The case of Rodopi / cotton crop

Nikolaos S. Bartsotas

by Nikolaos Bartsotas, National Observatory of Athens / Beyond Center of Earth Observation Research and Satellite Remote Sensing

Under the framework of e-shape H2020 EU project and S6P4 ResAgri pilot, a number of novel services are developed as an integrated system for the insurance company sector as well as farmers’ associations. They combine a 40-year long record of meteorological reanalyses (1980-present) to build an adverse selection tool based upon the historical risk from individual weather perils.

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