Huanhuan Feng's research while affiliated with China Agricultural University and other places

Publications (10)

Article
Live fish waterless transportation is a novel and cost-saving strategy, which can reduce the economic cost and wastewater pollution. However, it is still technology challenging to achieve intelligent monitoring and higher survival rate. In this paper, we presented a monitoring system for capturing quality-data changes in real time and verify captur...
Article
Full-text available
Fish, a major portion of the global food production, is highly nutritious, perishable, and susceptible to pre-harvest and postmortem factors. Conventional methods are laborious, time-consuming, and do not support real-time or infield applications in fish quality monitoring. Sensors are promising alternatives; therefore, novel applications of the co...
Article
Stress response caused by transportation is an important reason that affects the health and welfare of livestock, and the intelligent and precise monitoring of the stress state during transportation is a blank in research. On-site tracking experiments, literature review, and expert consultation indicate that environmental temperature, relative humi...
Article
Live fish waterless transportation is a low cost and promising strategy. But how to improve survival rate and reduce stress are challenging goal. This paper aims to explore the effect of ambient and stress indicators on fish state in waterless transportation. Multi-sensors ambient indicators and breath rate stress indicator monitoring system were d...
Article
Precision, sustainability and intelligence are the development trend of livestock farming in the future. Precision livestock farming (PLF) is a key step to achieve the sustainable development of smart farms, but it is still in the initial stage and has broad prospects. In order to realize precise livestock production, it is necessary to speed up th...
Article
Background Fruit and vegetable (F&V) harvested from plants trigger a series of stress-related physiological processes, potentially resulting in quality deterioration and considerable losses. Cold chain acting as abiotic stressors and activation of specific pathways to maintains metabolic activities is an effective way to reduce postharvest F&V loss...
Article
Full-text available
Salmon is a highly perishable food due to temperature, pH, odor, and texture changes during cold storage. Intelligent monitoring and spoilage rapid detection are effective approaches to improve freshness. The aim of this work was an evaluation of IoT-enabled monitoring system (IoTMS) and electronic nose spoilage detection for quality parameters cha...
Article
The uncertainty of transport environment threatens the comfort and health of live mutton sheep and even affects the quality of meat after slaughter. Using modern information technology to solve the deficiencies of live animal centralized transport is of great significance for the stable development of animal husbandry. In this paper, the wearable m...
Article
Full-text available
IoT-enable monitoring can provide valuable information for the shellfish quality evaluation during cold storage condition. However, IoT based information storage relies on the centralized platform, it is possible to tamper. In this paper, we establish blockchain based multi-sensors (WSN) monitoring system to collect quality parameters and verify ca...

Citations

... Semeano et al. [36] developed a gas sensor equipment and successfully monitored the mesophilic bacterial counts of Tilapia fish by checking the headspace gases during storage at 20 • C. In addition, fish species differentiation was successfully performed using an electronic nose [37], whereas, recently, the freshness of red mullet, sole, and cuttlefish was successfully determined using a low-cost E-nose comprised of four metal oxide semiconductor (MOS) sensors [38]. In general, the implementation of an E-nose to determine the freshness of fish has attracted the attention of researchers [24,39,40] and in many cases MOS sensors have been used in E-nose instruments as they are readily available in the market and provide rapid response and good sensitivity to the presence of volatiles [41]. ...
... As a new and green transportation method, waterless live transportation can reduce the weight and volume of living aquatic products during transportation, improve transportation efficiency and density, save costs, and gradually become the development trend for live transportation [1,2]. Whether from an edible or ornamental point of view, live aquatic products tend to be more popular than chilled aquatic products, due to the influence of traditional concepts and life experiences [3,4]. ...
... Sensors evolved from a simple sensing device to modern, flexible, wearable, Nanoplasmonic, stretchable, fatigue-resistant, high performance, and temperature tolerant sensing devices, integrated into high volume applications such as the internet of things and traceability systems (Bariya et al., 2018;Lai et al., 2019;Xiao et al., 2016;Zhang, Feng, et al., 2021). However, very few applications of these high-quality novel sensors are found in fish quality monitoring. ...
... Traditional methods of breathing rate detection are generally achieved by direct contact between the living aquatic product and wearable sensors or adhesive electrodes. However, wearable sensors can not only put pressure on the living aquatic product and limit its movement, but also create problems with fixation [11]. Therefore, working out how to realize the non-destructive measurement of breathing is an urgent problem. ...
... In China, the traditional technology of dairy farming is relatively backward, and most of them adopt the management mode of small-scale scattered farming, which is not conducive to the development of modern agriculture; as a result, the mode is changing toward the direction of large-scale, factory, and standardization. [3,4]. In the past few years, China's dairy industry has developed rapidly, and its output value and scale are at the forefront of the world [5]. ...
... Many variable selections have been proposed to select the informative variables and get the performance of model improved [17], such as competitive adaptive re-weighted sampling (CARS), successive projections algorithm (SPA), uninformative variable elimination (UVE), simulated annealing (SA), and genetic algorithm (GA). But some selection methods enhance the predictive ability of models, and meanwhile increase the uncertainty of variable selection, including the number and the selected variables and their combinations, such as GA, which is proposed on the basis of evolutionary theory, that the 'best' individuals (i.e., wavelengths or variables) have a better chance to survive and a larger probability to spread their genomes by reproduction in a living system [16][17][18][19][20]. ...
... Another emerging direction in the field could be to develop mobile and affordably priced devices for people who suffer from anosmia (loss of smell) [86,87]. With a focus on applications in the food and beverage industry, E-nose systems have been used for both direct/indirect identification via odor analysis for multiple purposes, such as product quality inspection [88], batch-to-batch uniformity studies [89], contamination detection [90], spoilage detection [91][92][93], adulteration detection [13,94], the detection of pathogenic bacteria [95,96], the study of storage conditions/shelf life [97][98][99][100] and the creation of specific sensory profiles [101,102]. In terms of food business competition, they have been used to analyze aromas and compare them with competitor products [103,104], evaluate the impact of changes in the production process and components that affect organoleptic characteristics [105,106] and compare different food formulations [84,107]. ...
... This system was tested on meat sheep during transportation and proposed as a potential method to assess physiological responses with minimal stress. Zhang et al. (2020) designed a wearable collar that included two sensors to measure (i) HR and oxygen saturation in the blood (MAX30102; Max Integrated, San Jose, CA, USA), and (ii) body temperature (MLX90614; Melexis, Ypres, Belgium). These sensors were connected to the Arduino Mobile App (Arduino LLC, Boston, MA, USA) through Bluetooth® for real-time monitoring and used an SD card for data storage. ...
... Blockchain is a viable technological solution that can be deployed in the apparel industry to reduce waste generation by tracking excess apparel inventory, enabling easy identification and resale. The use of blockchain will help to improve the ability of the organizations to capture the economic value of the resources along the supply chain, potentially reducing all types of waste (Brody, 2019;Feng et al., 2020). Blockchain technology has been successfully implemented to address some of the social issues like recycling plastic garbage collected from oceans in developing countries and turning them into pellets, and collecting surplus food from restaurants and donors to feed hungry people (Kamath, 2018;Kumar, 2019). ...
... When a node in WSN behaves selfishly and denies to store data, it affects the normal operations of network. Furthermore, the traditional IoT based monitoring systems for the quality of frozen shellfish rely on a centralized authority and the information about the quality of shellfish gets tampered [41]. Moreover, the traditional incentive mechanisms do not provide privacy protection mechanisms for users in crowdsensing networks [42]. ...