Bibliographic Details
| Title: |
Production and phenotypic characterization through multispectral imaging of strawberry cultivars. |
| Alternate Title: |
Produção e caracterização fenotípica de cultivares de morango por meio de imagem multiespectral. |
| Authors: |
Medeiros, Matheus H. P.1, Castoldi, Renata2, de O. Charlo, Hamilton C.3, Martins, George D.4, Simão, Edson3, de Oliveira, Larissa S.2, Jacinto, Ana C. P.3, dos S. Carmo, Glecia J.5 |
| Source: |
Revista Brasileira de Engenharia Agrícola e Ambiental - Agriambi. 2026, Vol. 30 Issue 3, p1-15. 15p. |
| Subjects: |
Multispectral imaging, Strawberries, Biomes, Agricultural productivity, Plant growth, Agricultural drones, Phenotypes, Remote sensing |
| Geographic Terms: |
Brazil |
| Abstract (English): |
Technologies assisted by remote sensing have been developed to quantify the morphophysiological characteristics of plants in a timely and rapid manner. Thus, the purpose of the present study was to evaluate the behavior of strawberry cultivars in terms of production and their phenotypic characterization using multispectral imaging under the environmental conditions of the Brazilian Cerrado biome. The experiment was conducted in the field, at the Federal University of Uberlândia, Campus Monte Carmelo, Minas Gerais state, Brazil. A randomized block experimental design was used with six strawberry cultivars (San Andreas, Albion, PR, Festival, Oso Grande, and Guarani), with four replicates. The variables evaluated were number and mass of fruits per plant; total productivity SPAD index; number, length, and width of leaves, soluble solids content, titratable acidity, vitamin C, anthocyanins, fruit firmness, soil temperature under and above the mulch, leaf temperature, air temperature, and relative air humidity. Multispectral imaging was obtained with unmanned aerial vehicle with a Mapir Survey 3W camera attached to it. The normalized difference vegetation index was calculated, and Pearson's correlation was performed between the agronomic variables and the spectral bands. The obtained results indicated that temperature and relative air humidity affect strawberry production. Estimation of agronomic variables using multispectral imaging at 78 days after planting is feasible and can help in the selection of new genetic materials. [ABSTRACT FROM AUTHOR] |
| Abstract (Portuguese): |
Tecnologias assistidas por sensoriamento remoto têm sido desenvolvidas para quantificar as características morfofisiológicas das plantas de forma oportuna e rápida. Assim, o objetivo do presente estudo foi avaliar o comportamento de cultivares de morango em termos de produção e sua caracterização fenotípica usando imagens multiespectrais sob as condições ambientais do bioma Cerrado brasileiro. O experimento foi conduzido em campo, na Universidade Federal de Uberlândia, Campus Monte Carmelo, Minas Gerais, Brasil. O delineamento experimental foi em blocos casualizados com seis cultivares de morango (San Andreas, Albion, PR, Festival, Oso Grande e Guarani), com quatro repetições. As variáveis avaliadas foram número e massa de frutos por planta; índice SPAD de produtividade total; número, comprimento e largura de folhas, teor de sólidos solúveis, acidez titulável, vitamina C, antocianinas, firmeza dos frutos, temperatura do solo abaixo e acima da cobertura morta, temperatura da folha, temperatura do ar e umidade relativa do ar. As imagens multiespectrais foram obtidas com veículo aéreo não tripulado com uma câmera Mapir Survey 3W acoplada a ele. Foi calculado o índice de vegetação por diferença normalizada e realizada a correlação de Pearson entre as variáveis agronômicas e as bandas espectrais. Os resultados obtidos indicaram que a temperatura e a umidade relativa do ar afetam a produção de morango. A estimativa de variáveis agronômicas por meio de imagens multiespectrais aos 78 dias após o plantio é viável e pode auxiliar na seleção de novos materiais genéticos. [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |
