Título:	Automatic electronic system for extraction of morphological characteristics of crops.
Autor:	FERSURA, R. O. ALVES, R. G. LIMA, F. GUEDES, I. M. R. GIMENEZ, S. P.
Afiliación:	RENAN O. FERSURA, FEI UNIVERSITY CENTER RAFAEL G. ALVES, FEI UNIVERSITY CENTER FABIO LIMA, FEI UNIVERSITY CENTER ITALO MORAES ROCHA GUEDES, CNPH SALVADOR P. GIMENEZ, FEI UNIVERSITY CENTER.
Año:	2025
Referencia:	In: WORKSHOP ON SEMICONDUCTORS AND MICRO & NANO TECHNOLOGY, 29., 2025, São Bernardo do Campo. Proceedings [...] São Bernardo do Campo: Centro Universitário FEI, 2025.
Descripción:	Population growth and technological advances require an increase of 50% in food production by 2050, according to the United Nations (UN). In this context, urban food production through vertical farms emerges as a solution to ensure food supply in cities. These vertical farms control environmental conditions, but few studies monitor the morphological characteristics of plants. This project aims to develop a system to extract these characteristics using sensors and nanoprocessors, with data sent to an Internet of Things (IoT) platform, assisting in decision-making to optimize cultivation. The main results of this work reveal that crop growth capture using an ESP32-CAM and a color filter is applicable and promising.
Palabras clave:	Vertical farm
Notas:	SEMINATEC 2025.
Tipo de Material:	Resumo em anais e proceedings
Acceso:	openAccess
Aparece en las colecciones:	Resumo em anais de congresso (CNPH)