UAV Multispectral Data: A Reliable Approach for Managing Phosphate-Solubilizing Bacteria in Common Bean

Remote sensing can offer stakeholders opportunities to make precise and accurate decisions on agricultural activities. For instance, farmers exploit aircraft systems acquire survey-level, high-resolution imagery data for crop soil management. Therefore, the objective of this study was analyze whether an unmanned aerial vehicle (UAV) allows assessment monitoring biofertilization common bean upon vegetation indices (VIs). The biological treatment legume included its inoculation with phosphate-solubilizing bacteria (PSB), namely Bacillus subtilis B. megaterium. Indicators photosynthetic performance, such as chlorophylls (a b) carotenoids, were measured from actively growing leaves determine effectiveness. In addition, images acquired in field, both spatially temporally, establish functional relationships between biometric computational features. Microorganisms manifested growth-promoting agents they significantly increased quantities light-harvesting pigments. VIs allowed predicting their impact making them on-site markers PSB. research provide insights into remote, non-destructive mapping spectral changes application Imagery UAV would enable producers generate information intervene field at right time place improved utilization biofertilizers.