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Perspective

Harnessing Multisensory Perception for the Tomato Agrifood Chain

1
College of Engineering, China Agricultural University, 17 Qinghua East Road, Haidian, Beijing 100083, China
2
School of Food Engineering, University of Campinas (UNICAMP), Campinas 13083-862, SP, Brazil
*
Author to whom correspondence should be addressed.
Sensors 2026, 26(13), 4195; https://doi.org/10.3390/s26134195
Submission received: 23 May 2026 / Revised: 30 June 2026 / Accepted: 1 July 2026 / Published: 2 July 2026
(This article belongs to the Special Issue Perspectives in Intelligent Sensors and Sensing Systems)

Abstract

Structural inefficiencies and labor shortages within the global tomato agrifood chain pose significant threats to its economic sustainability. While vision-dominated systems, encompassing structural and spectral dimensions, have pioneered intelligent management, their limitations in environmental robustness and computational overhead necessitate a new approach. Furthermore, dimensional incompleteness remains a challenge in decoding internal states. Multisensory perception, integrating physical (tactile and auditory) and chemical (olfactory and gustatory) modalities, enables the quantitative characterization of tomato physiological states. Based on technological advancements at the leading edge of knowledge, a critical perspective on the mushrooming field of multisensory perception is highlighted. Grounded in the capabilities and bottlenecks of visual perception, the discussion outlines significant progress in multisensory perception, along with its challenges and prospects. Crucially, it delineates the construction pathway of digital fingerprints that couple instrumental sensing signals with human sensory experiences and envisions the landscape of multimodal fusion to address practical challenges. This perspective provides a roadmap for sensorially transparent evaluation systems in the tomato agrifood chain.
Keywords: tomato; multisensory perception; digital fingerprint; multimodal fusion tomato; multisensory perception; digital fingerprint; multimodal fusion

Share and Cite

MDPI and ACS Style

Liang, J.-W.; Chen, Y.-J.; Zhang, P.-X.; Feng, Y.-L.; Barbin, D.F.; Su, W.-H. Harnessing Multisensory Perception for the Tomato Agrifood Chain. Sensors 2026, 26, 4195. https://doi.org/10.3390/s26134195

AMA Style

Liang J-W, Chen Y-J, Zhang P-X, Feng Y-L, Barbin DF, Su W-H. Harnessing Multisensory Perception for the Tomato Agrifood Chain. Sensors. 2026; 26(13):4195. https://doi.org/10.3390/s26134195

Chicago/Turabian Style

Liang, Jun-Wei, Yi-Jia Chen, Peng-Xian Zhang, Yun-Lang Feng, Douglas Fernandes Barbin, and Wen-Hao Su. 2026. "Harnessing Multisensory Perception for the Tomato Agrifood Chain" Sensors 26, no. 13: 4195. https://doi.org/10.3390/s26134195

APA Style

Liang, J.-W., Chen, Y.-J., Zhang, P.-X., Feng, Y.-L., Barbin, D. F., & Su, W.-H. (2026). Harnessing Multisensory Perception for the Tomato Agrifood Chain. Sensors, 26(13), 4195. https://doi.org/10.3390/s26134195

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