Remote sensing in maize: effect of vegetal biostimulants application in three stages of development

• Published in: Brazilian journal of biology 2024, Vol.84, p.e279435
• Main Authors: Silva, A V, Silva, C M, Silva, J H B, Pereira, W E, Albuquerque, M B, Medeiros, J C, Leal, F R R, Carvalho, J F, Silva, B O T, Mielezrski, F
• Format: Article
• Language: English
• Subjects: BIOLOGY; bioregulators; Plant Growth Regulators - pharmacology; Remote Sensing Technology; Seasons; vegetation index; Zea mays; Zea mays - growth & development
• ISSN: 1678-4375; 1678-4375
• DOI: 10.1590/1519-6984.279435

Maize is a crop of global economic importance and is widely cultivated throughout the Brazilian territory. The use of biostimulants can increase yield and improve crop yield. Unmanned aerial vehicles can be employed in arable areas, allowing their use in an economically way. This study to evaluate the use of biostimulant and the best application timing using photogrammetric indexes in maize, and indicate the most suitable plant index for yield increase through a Pearson's correlation. The DJI Drone coupled with RGB camera was used, and the images were processed through the AgisoftPhotoscan® software to generate the orthomosaic, and the QGIS® software version 3.4.15 with GRASS was used to generate thematic maps with the classification of the indexes of vegetation (NGRDI, EXG, SAVI, TGI, GLI, RI). A matrix of Pearson correlation coefficients between the variables was also created, and the results were analyzed with the R software. In general, the products Pyroligneous Extract (PE) and the hormonal product (HP) were the best for the two seasons studied. However, the HP was the best product to mitigate plant water stress in the dry period. Application at phenological stage V3 showed the lowest growth in the rainy season and in application to the seeds in the dry season. Dose 4 of the pyroligneous extract increased productivity in the rainy season and level 3.4 for the hormone product. Among the indexes evaluated, only the SAVI index showed significant differences between the others and showed significance for productivity in the two periods.