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<p>This study aimed to evaluate orange cultivation under varying gypsum doses, assessed through multispectral imaging obtained from Remotely Piloted Aircraft (RPA) at different flight altitudes. The experiment was conducted in July 2022 at Ornela Farm, located in the municipality of Capitão Poço, in the state of Pará, within the Eastern Brazilian Amazon. The variables analyzed included canopy areas, Normalized Difference Vegetation Index (NDVI), Soil-Adjusted Vegetation Index (SAVI), and fruit productivity. A randomized complete block (RCB) design was employed in a 3 × 5 factorial scheme, with flight altitudes (80, 100, and 120&#xa0;m) and gypsum doses (0; 0.6; 1.2; 1.8; and 2.4 t/ha) as factors. Data analysis was performed using the Zonal Statistics tool in QGIS software for descriptive statistics and Rstudio version 1.4.1106 for factorial and Pearson correlation analyses. No interaction effects between flight altitude and gypsum dose were observed for any of the variables in the factorial analysis. Flight altitude had a statistically significant effect (<i>p</i> &lt; 0.05) on NDVI and SAVI, with 80 and 100&#xa0;m yielding the best results. For gypsum doses, a significant effect was found only for canopy area, with doses between 0 and 1.8 t/ha producing the highest fruit production averages. Pearson correlation analysis indicates a significant negative correlation between altitude and both NDVI (<i>r</i>=-0.54) and SAVI(<i>r</i>=-0.55)., with r values of -0.54 and − 0.55, respectively. NDVI and SAVI showed a strong positive linear correlation (<i>r</i> = 0.98). The utilization of multispectral imaging at varying flight altitudes, combined with varied gypsum doses, proved to be a valuable tool for citrus cultivation monitoring.</p>

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Multispectral Evaluation of Orange Cultivation Under Gypsum Application in the Eastern Brazilian Amazon

  • 期刊论文

  • 发表日期：

    2025年10月27日

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  • Adson Wilgner Dutra Ribeiro,
  • Madison da Costa Pinheiro,
  • Fábio Júnior de Oliveira,
  • Luiz Antonio Soares Cardoso,
  • Eric Victor de Oliveira Ferreira,
  • Antonio Rafael Neri dos Santos,
  • Lucinda Helena Fragoso Monfort

摘要

This study aimed to evaluate orange cultivation under varying gypsum doses, assessed through multispectral imaging obtained from Remotely Piloted Aircraft (RPA) at different flight altitudes. The experiment was conducted in July 2022 at Ornela Farm, located in the municipality of Capitão Poço, in the state of Pará, within the Eastern Brazilian Amazon. The variables analyzed included canopy areas, Normalized Difference Vegetation Index (NDVI), Soil-Adjusted Vegetation Index (SAVI), and fruit productivity. A randomized complete block (RCB) design was employed in a 3 × 5 factorial scheme, with flight altitudes (80, 100, and 120 m) and gypsum doses (0; 0.6; 1.2; 1.8; and 2.4 t/ha) as factors. Data analysis was performed using the Zonal Statistics tool in QGIS software for descriptive statistics and Rstudio version 1.4.1106 for factorial and Pearson correlation analyses. No interaction effects between flight altitude and gypsum dose were observed for any of the variables in the factorial analysis. Flight altitude had a statistically significant effect (p < 0.05) on NDVI and SAVI, with 80 and 100 m yielding the best results. For gypsum doses, a significant effect was found only for canopy area, with doses between 0 and 1.8 t/ha producing the highest fruit production averages. Pearson correlation analysis indicates a significant negative correlation between altitude and both NDVI (r=-0.54) and SAVI(r=-0.55)., with r values of -0.54 and − 0.55, respectively. NDVI and SAVI showed a strong positive linear correlation (r = 0.98). The utilization of multispectral imaging at varying flight altitudes, combined with varied gypsum doses, proved to be a valuable tool for citrus cultivation monitoring.