Advancements in Multispectral Drone Imaging for Site-Specific Fertilizer Management in Sugarcane
Abstract: This research evaluates the efficacy of multispectral surveys conducted at the Sevanagala nursery area. By utilizing DJI P4 sensors, the study developed a nutrient mapping model that reduced fertilizer waste by 15% while maintaining optimal crop vigor…
Introduction
Sugarcane cultivation in Sri Lanka requires precision application of nutrients to maintain soil health. Traditional broad-scale applications are increasingly inefficient compared to site-specific models…
Methodology
The study utilized multispectral drone imaging to capture NDVI data across a 50-hectare nursery. Data was processed using GIS layer files to correlate spectral signatures with soil nitrogen levels…
References
[1] Kumarasiri, U. (2025). Soil Nutrition Trends. SRI Technical Report.