Aug 2026· Potato Research· Vol 69· 0 citations· 49 references
TL;DR
It is suggested that three-dimensional spectral information has strong capacity for characterizing potato PNC, and that combining multiple types of spectral features can further improve estimation accuracy.
Accurate estimation of leaf nitrogen content is essential for optimizing fertilization management and improving crop productivity. This study proposes a nondestructive hyperspectral imaging framework combined with advanced machine learning algorithms to classify nitrogen levels in tomato leaves (Solanum lycopersicu...
Mohammad Vahedi Torshizi, S. Sabzi, Mohsen Azadbakht et al.· Scientific Reports· 0 citations
Machine learning combined with multispectral remote sensing provides an efficient and non-destructive approach for monitoring fruit tree nutrient status. However, conventional machine learning methods have limited ability to capture complex spectral-feature interactions, while deep neural networks often suffer from ove...
Fei Jia, Zhi-Cheng Jia, Bo-Lin Wang et al.· Agronomy· 0 citations
The estimation of leaf nitrogen content (LNC) is important for assessing the growth status of Ginkgo saplings. UAV hyperspectral imagery provides an effective data source for estimating LNC. However, canopy structural variation can affect hyperspectral signals. Although canopy scattering coefficient (CSC) correction ca...
Yu-Bo Gao, Kai Zhou, Lin Cao· IEEE Geoscience and Remote S...· 0 citations
Leaf water content (LWC) is a core indicator for precise irrigation decision-making in fruit orchards, which is critical to water use efficiency improvement and stable yield maintenance in arid oasis agricultural systems. In this study, leaf water content (LWC) and synchronously acquired unmanned aerial vehicle (UAV) m...
The Agro-pastoral Transitional Ecotone of Northern Shaanxi is an ecologically fragile region. Soil nitrogen is a critical factor influencing crop productivity and regional ecological balance. Rapid and accurate monitoring of farmland soil total nitrogen (TN) content is therefore essential for implementing precision agr...
Zhen-Yu Dong, Ni Wang, Jian-Cang Xie et al.· Bangladesh Journal of Botany· 0 citations
Rapid and non-destructive assessment of sweet potato quality is important for postharvest management, processing suitability evaluation, and market quality control. In this study, a 12-channel visible/near-infrared (Vis/NIR) spectral sensing system was applied to predict multiple physicochemical quality attributes of p...