Authors - Van-Cuong Nguyen, Huu-Cuong Nguyen, Quang-Hieu Ngo, Trong-Hieu Luu, Thanh-Tam Nguyen Abstract - This paper aims to introduce the relationship between surface roughness and rice yield on paddy field using camera mounted on UAV. Unlike other studies where people focus on genes and rice varieties, we think that the surface roughness also has a big impact on rice yield. We surveyed paddy by using successive aerial images, generated the ortho-photos before conducted the surface roughness by using Harralick texture extracting. From the resulting mapping photo, we chose three distinct local areas for sample data collection based on the surface differences. Three different treatments were applied across these areas, with agronomic traits and yield components meticulously documented. As the crop season progressed, discernible disparities in crop vitality emerged, observable both in the field and through analysis using the Normalized Difference Vegetation Index (NDVI). Furthermore, our rigorous evaluation of agronomic traits and yield components revealed statistically significant disparities among treatments, reaching the remarkable 1% significance level. These findings hold considerable promise for farmers, facilitating informed decisions in land use planning for subsequent crop seasons.
