Temporal field-based phenomics for evaluating transgenic maize under drought stress.
2025
PEREIRA, H. | NONATO, J. | MOLTOCARO, R. C. R. | GERHARDT, I. R. | DANTE, R. A. | ARRUDA, P. | YASSITEPE, J. E. DE C. T. | HELCIO PEREIRA; JULIANA NONATO, UNIVERSIDADE ESTADUAL DE CAMPINAS; RAFAELA C RANGNI MOLTOCARO DUARTE, CNPMA; ISABEL RODRIGUES GERHARDT, CNPTIA; RICARDO AUGUSTO DANTE, CNPTIA; PAULO ARRUDA; JULIANA ERIKA DE CARVALHO TEIXEIRA, CNPTIA.
Abstract: Climate change has increased the need for drought-resilient crops, yet traditional assessment methods are labor-intensive. This study utilized an unmanned aerial system (UAS) with RGB and multispectral sensors to monitor transgenic maize hybrids under irrigated and drought conditions.
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