Evaluation of the performance of DIAL system for the determination of ethylene concentration in an agricultural area DOI
Novella Rutigliano, Luca Martellucci, Alessandro Puleio

et al.

Published: Oct. 17, 2023

In Italy, the utilised agricultural area (UAA) is equal to approximately 41.8% of surface entire state: optimising production using new technologies therefore makes it possible improve performance soil and, consequently, its wellbeing, both necessary conditions for environmental protection ecosystems and conscious management resources. Many fruit vegetable varieties produce ethylene during ripening (among them, climacteric ones even after they have been harvested). Being able monitor concentration in an field or greenhouse (or, case fruits vegetables harvest warehouses) optimise their harvest, manage packaging sale, reduce waste wastage. The DIAL (Differential Absorption Lidar) technique measure profile species atmosphere. this work possibility estimate a evaluated by numerical simulations. interference other chemicals, such as water vapour, assessed use multiwavelength approaches analysed accuracy measurements, different hardware configurations are proposed.

Language: Английский

Triboelectric-electromagnetic hybrid generator based self-powered flexible wireless sensing for food monitoring DOI Open Access
Meng Wang,

Yunyue Yang,

Ruihua Zhang

et al.

Chemical Engineering Journal, Journal Year: 2023, Volume and Issue: 473, P. 145465 - 145465

Published: Aug. 17, 2023

Language: Английский

Citations

80

Flexible Vis/NIR wireless sensing system for banana monitoring DOI Creative Commons

Meng Wang,

Bingbing Wang, Ruihua Zhang

et al.

Food Quality and Safety, Journal Year: 2023, Volume and Issue: 7

Published: Jan. 1, 2023

Abstract Objectives The quality of the fruit seriously affects economic value fruit. Fruit is related to many ripening parameters, such as soluble solid content (SSC), pH, and firmness (FM), a complex process. Traditional methods are inefficient, do not guarantee quality, adapt current rhythm market. In this paper, was designed implemented for prediction maturity level classification Philippine Cavendish bananas. Materials Methods changes bananas in different stages were analyzed. Twelve light intensity reflectance values each stage compared conventionally measured SSC, FM, PH, color space. Results Our device can be with traditional forms measurement. experimental results show that established predictive model specific preprocessing modeling algorithms effectively determine various banana parameters (SSC, L*, a*, b*). RPD SSC a* greater than 3.0, L* b* between 2.5 pH FM 2.0 2.5. addition, new method (FSC) proposed, showed could classify classes (i.e. four levels) an accuracy rate up 97.5%. Finally, MLR FSC models imported into MCU realize near-range long-range real-time display data. Conclusions These also applied more broadly detection, providing basic framework future research.

Language: Английский

Citations

45

Wireless charging flexible in-situ optical sensing for food monitoring DOI
Ruihua Zhang,

Meng Wang,

Tianyu Zhu

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 488, P. 150808 - 150808

Published: April 4, 2024

Language: Английский

Citations

31

Flexible wireless in situ optical sensing system for banana ripening monitoring DOI

Meng Wang,

Ruihua Zhang, Zihao Wu

et al.

Journal of Food Process Engineering, Journal Year: 2023, Volume and Issue: 46(12)

Published: Oct. 13, 2023

Abstract Determining the ripening level of bananas in environment banana plays an important role ensuring quality bananas, reducing losses and waste, improving economic benefits. Traditional monitoring methods face a series challenges such as inefficiency, high energy consumption, cost. This paper aims to develop flexible wireless situ optical sensing system (FIS) for with good prediction effect, low economy. When process, ripeness can be accurately determined without taking out bananas. Among them, effect on soluble solid content a* is best, residual predictive deviation value above 3, classification accuracy 95%. Compared other commercially available spectrometers, device exhibits lowest power consumption characteristics. The theoretical maximum FIS only 627 mW, single measurement consumes 15 J. overall price does not exceed $60. application effectively reduce waste during greatly alleviate labor‐intensive inefficient problems fruit maturity monitoring, thereby promoting more sustainable cleaner production industry.

Language: Английский

Citations

40

Electrochemical biosensors: The Beacon for food safety and quality DOI Creative Commons

Somayeh Hosseinikebria,

Masoud Khazaei, Muamer Dervisevic

et al.

Food Chemistry, Journal Year: 2025, Volume and Issue: 475, P. 143284 - 143284

Published: Feb. 9, 2025

Language: Английский

Citations

1

Self-powered wireless flexible sensing for food storage based on triboelectric-electromagnetic generator DOI
Zihao Wu, Xujun Chen,

Zhengzhong Wan

et al.

Materials Today Sustainability, Journal Year: 2024, Volume and Issue: 26, P. 100781 - 100781

Published: March 29, 2024

Language: Английский

Citations

4

High-performance flexible wearable electronics for sheep physiological information wireless sensing and health assessment DOI

Maosong Yin,

Ruiqin Ma,

Wentao Huang

et al.

Computers and Electronics in Agriculture, Journal Year: 2025, Volume and Issue: 231, P. 109917 - 109917

Published: Jan. 22, 2025

Language: Английский

Citations

0

Laser-Induced Graphene Based Flexible Sensing and Heating for Food Monitoring DOI
Xujun Chen, Ruihua Zhang,

Zhengzhong Wan

et al.

ACS Applied Electronic Materials, Journal Year: 2024, Volume and Issue: 6(5), P. 3597 - 3609

Published: April 17, 2024

This paper proposes an LIG-based flexible sensing and heating system for food monitoring (FTMS) frost protection of in cold storage. The FTMS integrates two major components: temperature a laser-induced graphene (LIG) patch. Factors affecting the performance LIG patches were investigated from electrical, thermoelectric, microscopic levels patches. best prepared was achieved when power 12.5% scanning rate 120 mm/s. In simulation application phase, through this system, antifrostbite test is carried out on oranges, pears, other fruits; output voltage about 3 V, it only takes 14–20 s time fruit meets damage to pulled back set range, results show that could effectively resist frostbite monitor surface fruits efficiently. It has high value reducing waste rates. future, we look forward its rare plant high-value-added crop protection.

Language: Английский

Citations

3

Emerging technologies for rapid non-destructive testing of grape quality: A review DOI

Jing Wen,

Guoqian Xu,

Ang Zhang

et al.

Journal of Food Composition and Analysis, Journal Year: 2024, Volume and Issue: 133, P. 106446 - 106446

Published: June 18, 2024

Language: Английский

Citations

3

Intelligent flexible manipulator system based on flexible tactile sensing (IFMSFTS) for kiwifruit ripeness classification DOI Open Access

Leqin Qin,

Junchang Zhang, Stevan Stankovski

et al.

Journal of the Science of Food and Agriculture, Journal Year: 2023, Volume and Issue: 104(1), P. 273 - 285

Published: Aug. 9, 2023

Consumers all throughout the world enjoy kiwifruit. After harvest, there are as much 20-25% of kiwifruit lost along entire industrial chain. An intelligent flexible manipulator system based on tactile sensing (IFMSFTS) was created to automatically and intelligently classify ripeness in order minimize loss.The is coupled with sensor. When kiwifruits being gripped by manipulator, sensor perceives their firmness, mapping relationship between firmness allows for prediction evaluation kiwifruit's ripeness. Principal component analysis (PCA) employed dimension sample data set. K-Nearest neighbor (KNN) support vector machine (SVM) classifiers utilized train test data. The findings indicate that PCA-KNN's classification accuracy 97.5% PCA-SVM's 96.24%. first a better fit.IFMSFTS can precisely ripeness, effectively address issue fruit loss, realize sustainable clean production relying link © 2023 Society Chemical Industry.

Language: Английский

Citations

7