Headspace solid-phase microextraction (HS-SPME) coupled with comprehensive two-dimensional gas chromatography-quadrupole time-of-flight mass spectrometry (GC × GC-Q-TOF-MS), sensory evaluation, and odor activity value (OAV) analysis were employed to systematically identify and trace the key aroma compounds of jasmine yellow tea. The findings indicated that the scenting process significantly enhanced the aroma quality of yellow tea, with tea scented with 90%–120% jasmine flowers showing the best overall aroma profile. Thirteen key aroma compounds were identified in jasmine yellow tea, including linalool, benzyl acetate, α-farnesene, methyl benzoate, cis-3-hexenol benzoate, indole, and methyl salicylate. Among these, eight compounds were found to be more abundant in jasmine flowers, suggesting that the release of major aroma constituents from jasmine flowers during scenting is closely associated with the aroma characteristics of jasmine yellow tea. Correlation analysis revealed that these eight compounds were significantly positively correlated with both the aroma intensity and overall sensory score of jasmine yellow tea (P < 0.05). Notably, cubaene (woody and resinous notes) and cis-3-hexen-1-ol (grassy aroma) may contribute synergistically to the layered aroma of jasmine yellow tea. This research provides a theoretical foundation for the quality control and processing optimization of jasmine yellow tea. However, further studies are warranted to determine the optimal processing parameters.

Science and technology are the key productive forces to promote the development of intelligent agriculture. The tea industry is a specialty industry in China’s agricultural field. The current status of this industry is characterized by varying scale and uneven development among tea enterprises. With the development of intelligent agriculture, in order to further explore a scientific path for the development of the tea industry, digital technology represented by big data, Internet of Things (IoT) and artificial intelligence has been applied to tea planting, processing, sale and traceability, which has promoted the intelligent development of the tea industry to a certain extent. This paper focuses on the application of IoT in tea planting and the processing of six kinds of tea and scented tea. Finally, the problems existing in the application of IoT in the tea industry are discussed, which provides a reference for the subsequent integration of IoT technologies into the tea industry.