Espiralpixel

We are a software development and systems integration company, focused on the agribusiness sector.

We are a multidisciplinary team specialized in software development, focused on web and mobile applications (Android and iOS), e-commerce development, community based applications with a touch of data processing/management and a pinch of geographic information.

We’re exploring new opportunities in our activities by leveraging ICT R&D, in particular with FIWARE and FISPACE. We are currently working on OpenPD, a 7th Framework Programme funded project, through SmartAgriFood within the Future Internet Public-Private Partnership.

Pet Projects

These are the projects that we pursue as our favourites at the moment.

openpd

     OpenPD

Open Network on Plant Pests and Diseases

OpenPD is a mobile app that provides an on-the-field and on-the-fly system for fast identification of plant pests and diseases. It is easy to use, based on an open community and peer learning, supported by european funded ICT frameworks and our development.

Visit the website: www.openpd.eu

Watch the demo video in youtube


The research leading to these results has received funding from the EU 7th Framework Programme (FP7/2007-2013) under grant agreement no. 632738.

Experience

We are a team of engineers with a wide and multidisciplinary professional experience, ranging from software development, quality assurance and control, digital media marketing and even agricultural production. Here are some highlights from our professional background:

Software Development

Full stack, front end (mobile, desktop and web) and back end software development

Geographic Information Systems

Software development for cartography, risk analysis and remote sensing

Agribusiness Consulting

European funding, risk analysis, quality control and project management. GlobalGAP and HACCP compliant production

Hardware embedded systems

Firmware (industrial automation and microcontrollers)

Data acquisition and manipulation

Image processing (pattern recognition, feature extraction and automatic quality control) and signal processing (LIDAR, electrogmanetic and seismic noise)

Big Data/Data Minning

Applied sentimental analysis, semantics and statistical vectorization (clustering and proximity)