Akademik Veri Yönetim Sistemi
JOURNAL OF CROP SCIENCE AND BIOTECHNOLOGY, cilt.28, sa.5, ss.697-704, 2025 (ESCI, Scopus)
Effective monitoring in fertilization management is essential for maximizing productivity, sustainability, and economic profitability. Overuse and inefficient application of fertilizers occur when the heterogeneous nitrogen demands of fields are ignored. By assessing nitrogen status, it is possible to determine the precise location, timing, and amount of fertilizer needed. In this study, we evaluated turfgrass growth responses to nitrogen fertilization using UAV-based NDVI values, highlighting an advanced approach for sustainable nutrient management. We investigated the effects of urea fertilizer on the growth of Zoysia grass. The study included two groups: one treated with urea fertilizer, and the other serving as a control without fertilization. Multispectral imagery was captured over time to assess grass growth dynamics. NDVI values were computed using digital image analysis to quantify vegetation health and biomass. Statistical comparisons were performed between the fertilized and non-fertilized groups to evaluate the effectiveness of UAV-based remote sensing and digital image analysis (UAV-RS/DIA) in measuring Zoysia grass growth under nitrogen fertilization. The study revealed a significant difference in NDVI values between fertilized (0.8193 +/- 0.0095) and non-fertilized (0.7156 +/- 0.0261) zoysia grass at 123 days after fertilization (p = 0.0224), with the fertilized group showing higher NDVI values. No significant differences were found at 67 and 95 days after fertilizer application. This study demonstrated that UAV-based NDVI data effectively monitors the impacts of nitrogen fertilization on Zoysia grass. The findings suggest that UAV-RS/DIA can serve as valuable tools for precision monitoring in agricultural management practices, facilitating efficient fertilization and providing scalable monitoring solutions.