Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize

摘要: Recent developments in unmanned aerial platforms (UAP) have provided research opportunities assessing land allocation and crop physiological traits, including response to abiotic biotic stresses. UAP-based remote sensing can be used rapidly cost-effectively phenotype large numbers of plots field trials a dynamic way using time series. This is anticipated tremendous implications for progress genetic improvement. We present the use UAP equipped with sensors multispectral imaging spatial variability assessment phenotyping low-nitrogen (low-N) stress tolerance maize. Multispectral images were (1) characterize experimental fields soil-nitrogen (2) derive indices performance under low-N stress. Overall, results showed that platform enables effectively variation assess The Normalized Difference Vegetation Index (NDVI) data derived from spectral presented strong correlation ground-measured NDVI, senescence index grain yield. work suggests designed studies has potential assist improvement against stresses like enough resolution plot level collection. Limitations future uses are also discussed.