Announcement

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 objectives In 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

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

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”.

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

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

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