Título:	Automatic electronic system for extraction of morphological characteristics of crops.
Autoria:	FERSURA, R. O. ALVES, R. G. LIMA, F. GUEDES, I. M. R. GIMENEZ, S. P.
Afiliação:	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.
Ano de publicação:	2025
Referência:	In: WORKSHOP ON SEMICONDUCTORS AND MICRO & NANO TECHNOLOGY, 29., 2025, São Bernardo do Campo. Proceedings [...] São Bernardo do Campo: Centro Universitário FEI, 2025.
Conteúdo:	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.
Palavras-chave:	Vertical farm
Notas:	SEMINATEC 2025.
Tipo do material:	Resumo em anais e proceedings
Acesso:	openAccess
Aparece nas coleções:	Resumo em anais de congresso (CNPH)