10Jul 2026 by diversolab No Comments
From Data to Irrigation: SensOlive’s Tools for Optimizing Deficit Irrigation

From Data to Irrigation: SensOlive’s Tools for Optimizing Deficit Irrigation

Announcement, Product lines, Projects
The foundation of irrigation scheduling in SensOlive (PLSQ_00162).Project funded by the Junta de Andalucía. What we measure and how: the tools and indicators we use for our objectivesIn our first installment, we took you on a visit to La Hampa. Today we get a little closer to show you the tools we work with and the factors we take into account to understand, day by day, what the olive grove needs. Optimizing deficit irrigation isn't just about watering less: it's about watering with a purpose, and to do that we need to know precisely how each tree responds. In this video we show you the continuous measurement indicators we rely on, along with other measures we use to verify them. Along the way you'll see:How trunk diameter variation is measured…
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26Jun 2026 by diversolab No Comments
Deep Learning Methods for EEG-Based Speech Classification and Decoding: A PRISMA Review

Deep Learning Methods for EEG-Based Speech Classification and Decoding: A PRISMA Review

Announcement, Paper news, Product lines, Uncategorized
We are pleased to share that Asma Sbaih, together with Jorge García-Gutiérrez, Megha Bhushan and David Benavides, has published a new article entitled "Deep Learning Methods for EEG-Based Speech Classification and Decoding: A PRISMA Review", now available in open access in Computer Speech & Language (Elsevier).The article presents a systematic review, conducted following the PRISMA 2020 guidelines, of deep learning methods applied to speech-related EEG (electroencephalography) and intracranial EEG (iEEG) processing, covering studies published between 2018 and 2025. After searching across Scopus, IEEE Xplore, ScienceDirect, Web of Science and PubMed, the authors identified 1,148 records, of which 80 peer-reviewed studies were included following duplicate removal, screening and eligibility assessment.The review organizes the literature by task type (speech classification, spectrogram reconstruction and speech synthesis), neural signal type (non-invasive EEG versus invasive…
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18Jun 2026 by diversolab No Comments
José Manuel Sánchez Presents SensOlive at SISTEDES 2026

José Manuel Sánchez Presents SensOlive at SISTEDES 2026

Announcement, Events, Product lines, Projects, Seminar, Uncategorized
SensOlive brings software variability and digital twins to one of today’s most urgent agricultural challenges: efficient irrigation in olive groves. During SISTEDES 2026, held in Alicante from 16 to 18 June, our colleague José Manuel Sánchez Ruiz presented the work titled “Proyecto - SENSOLIVE: Variability Management and Digital Twins in Deficit Irrigation of Olive Groves”. The conference brought together the Spanish software engineering community and included JISBD, JCIS and PROLE as its main scientific tracks. The article was authored by José Manuel Sánchez Ruiz, Francisco Sebastián Benítez Ruiz Díaz, Noelia López Durán, Miguel Ángel Olivero González, Francisco José Domínguez Mayo, Marta Sánchez Piñero and David Benavides Cuevas. Managing variability in precision irrigation The SensOlive project addresses a key problem in modern agriculture: how to support deficit irrigation strategies in olive…
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05May 2026 by diversolab No Comments
DIVERSO LAB’s Latest Advances in AI, Software Product Lines, and Smart Agriculture

DIVERSO LAB’s Latest Advances in AI, Software Product Lines, and Smart Agriculture

Announcement, Events, Product lines, Seminar, Uncategorized
Following the recent participation of our researchers Francisco José Domínguez-Mayo and Francisco Sesbastián Benítez  at the FOSD (Feature-Oriented Software Development) Meeting—a prominent international gathering dedicated to advancing research in software variability and software product lines, see more here —we held an internal seminar at our facilities. Upon their return, Francisco J. and Francisco S. shared their experiences and the presentations they delivered at the conference with the entire DIVERSO LAB team from the University of Seville. This knowledge-sharing session focused on the application of software engineering and Artificial Intelligence to the agricultural sector.Towards the Systematic Engineering of Intelligent SystemsThe first presentation was given by Francisco J. Domínguez-Mayo, who introduced the line of work titled "Toward an Innovation-Oriented SPL Methodology for On-Premise Intelligent Systems". During his exposition, he emphasized the need…
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21Mar 2026 by diversolab No Comments
SensOlive to Present Breakthroughs in AI and Sensor Technology for Olive Grove Water Efficiency in Seville

SensOlive to Present Breakthroughs in AI and Sensor Technology for Olive Grove Water Efficiency in Seville

Announcement, Projects, Uncategorized
On April 15, 2026, the "La Hampa" Experimental Farm in Coria del Río (Sevilla) will host the SensOlive Results Day. This key event will showcase how cutting-edge technology is transforming water management in olive cultivation. Towards a More Sustainable and Competitive Olive Grove In the face of climate change and water scarcity, optimizing irrigation is more vital than ever. During the session, attendees will discover firsthand how the project integrates: Dendrometers and Advanced Sensors: For precise monitoring of tree status. Digital Twins and Artificial Intelligence: Creating predictive models for intelligent decision-making. Deficit Irrigation Strategies: Moving toward a more sustainable and competitive agriculture. Event Program The day is designed to be dynamic, combining field demonstrations with technical presentations: 10:30 AM: Registration. 11:00 AM: Visit to experimental plots to see the project's technology in…
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18Feb 2026 by diversolab No Comments
Software Variability as a new Computational Thinking dimension

Software Variability as a new Computational Thinking dimension

Announcement, Product lines, Uncategorized
A new Open Educational Resource (OER) has been released to help bring software variability — an emerging and research-supported dimension of computational thinking — into the classroom.The resource encourages students to move beyond creating isolated programs and instead learn how to reason about families of related solutions through configurable systems.Designed mainly for teachers and students in secondary education and vocational training, the OER connects computational thinking with everyday situations such as customizing a smartphone or choosing options in a video game.Through interactive activities, modeling exercises, and programming tasks, learners explore how shared structures can generate multiple variations.The resource is organized into five modules, including an introduction to variability concepts, modeling with diagrams and the Universal Variability Language (UVL), metaprogramming using Snap!, a configurable maze game project, and a gamified assessment…
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