Título Stereo-vision solution for measuring Plant Area Index in high tunnel crops
Autores TAPIA CÓRDOBA, ALEJANDRO, ORIHUELA ESPINA, DIEGO LUIS, ROMAINE, JAMES BRIAN, SALVADOR ORTIZ, JOSÉ RAMÓN
Publicación externa No
Medio IFAC PAPERSONLINE
Alcance Proceedings Paper
Naturaleza Científica
Impacto SJR 0.354
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144823622&doi=10.1016%2fj.ifacol.2022.11.133&partnerID=40&md5=f9b31177bce835860b52e3dfbbd13197
Fecha de publicacion 22/11/2022
ISI 000889052400029
Scopus Id 2-s2.0-85144823622
DOI 10.1016/j.ifacol.2022.11.133
Abstract In this work, a cost-effective prototype is designed to automate the determination of the Plant Area Index (PAI) and its transmission to the cloud in high tunnel crops. In these installations, the impossibility of using satellite or aerial drones imagery constitute a limitation for the application of traditional orthogonal imagery analysis, and thus image capture routines are required to be manually assisted for scaling and perspective correction. As an alternative to this laborious procedure, the proposed solution makes use of stereo-image analysis to gather depth information to assist the calculation of PAI. To this end, an ad-hoc node has been fully designed, exploiting the computational capabilities of a single board computer and the low energy consumption of a microcontroller. The performance of the device is validated experimentally in a preliminary deployment in the gardens of Universidad Loyola Andalucia. Copyright (C) 2022 The Authors.
Palabras clave Image analysis in agriculture; Stero-vision; Crop monitoring; Hardware/software co-design; Internet of things
Miembros de la Universidad Loyola

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