I created a self-reflective artwork in collaboration with a bio-artist, a design engineer, and biologists specialising in tomato research. The piece contrasts two very different ways of seeing data: one (computational data) generated by artificial intelligence, and another (Pheno-data) that records the complex, living context of tomato plants through video.

At home and in a nearby park, I recorded the full life cycle of tomato plants—focusing on their final stage, from fruiting to decay, a phase often excluded from the industrial cycle of commercial tomatoes. This footage was later reanalysed by a machine learning algorithm originally designed to assess tomato ripeness in industrial production. The results reveal how such technology, guided by narrow objectives, can easily overlook or misinterpret the regenerative power of death, where plants become part of others (fungi, insects, humans) and sustain their legacy through seeds.

Through this artwork, viewers are invited to reflect on how data-driven technologies may fail to perceive the intricate, relational qualities of life and death.