Zhong-yi Wang

• Professor
• Head of Department at China Agricultural University

Realistic scenarios produce labeled data and unlabeled data, however, there are significant challenges in labeling time series data. It is imperative to effectively integrate the relationship between labeled and unlabeled data within semi-supervised classification model. This paper presents a novel semi-supervised classification method, namely Data...

Electrical impedance tomography (EIT) provides an indirect measure of the physiological state and growth of the maize ear by reconstructing the distribution of electrical impedance. However, the two-dimensional (2D) EIT within the electrode plane finds it challenging to comprehensively represent the spatial distribution of conductivity of the intac...

In practice, time series data obtained is usually small and missing, which poses a great challenge to data analysis in different domains, such as increasing the bias of model predictions, reducing the accuracy of model classification, and affecting the analysis data. This paper aims to address the problem of missing data imputation and classificati...

Efficiently analyzing and classifying dynamically changing time series data remains a challenge. The main issue lies in the significant differences in feature distribution that occur between old and new datasets generated constantly due to varying degrees of concept drift, anomalous data, erroneous data, high noise, and other factors. Taking into a...

Electrical impedance tomography can reconstruct the complex conductivity distribution by injecting a current or voltage at a specific frequency into the target domain. The complex conductivity spectroscopy of numerous biological tissues is frequency-dependent. A suitable excitation frequency is vital to high-quality imaging over a wide frequency ra...

The RLCG parameters model and one‐port measurement model of the closed‐double ring electrodes have been established to obtain the dielectric properties of two‐layer medium in radio frequency. The accuracy of these models was verified by electromagnetic simulation experiments and the permittivity measurement experiments under 160 MHz. Results showed...

Electrical impedance tomography (EIT) has been used by researchers across several areas because of its low-cost and no-radiation properties. Researchers use complex conductivity in bioimpedance experiments to evaluate changes in various indicators within the image target. The diverse volumes and edges of biological tissues and the large impedance r...

Using PEDOT as the conductive polymer, an innovative small-scale sensor for directly measuring salicylate ions in plants was developed, which avoided the complicated sample pretreatment of traditional analytical methods and realized the rapid detection of salicylic acid. The results demonstrate that this all-solid-state potentiometric salicylic aci...

Electrical Impedance Tomography (EIT) can perform non-invasive, low-cost, safe, fast, and simple system structure and functional imaging to map the distribution and changes of root zone. Multi frequency EIT solves the problem that single-frequency EIT can only carry more impedance information than a given single excitation frequency. It still remai...

The moisture distribution in maize ears during the growth period has a major impact on crop quality and post-harvest production costs and is an important indicator for plant breeding. An electrical impedance tomography system with a resilient electrode array was designed to fit around a maize ear, and featured an adjustable diameter that can be ada...

To improve the spatial resolution for mapping of small-scale cylindrical plant root zones using electrical impedance tomography, this paper presents a novel sensor structure, where a ring of 16 external electrodes and an inner ring of 8 internal electrodes are included in an electrode layer. To assess the ability of the structure in the electrode p...

Screening salt-tolerant crops at different salt concentrations is of great significance but time-consuming. It remains a major challenge to automatically find the appropriate stress concentration to identify the salt tolerance of crops by using the recorded electrical signals of plants over long periods of time. To solve this problem, we designed a...

Electrical imaging studies of laboratory- and small-scale plant root zones are gaining increasing attention. However, for essential moisture–conductivity calibrations on numerous substrate columns with variability in dry density, the use of one conventional strategy is relatively laborious or complicated. Thus, in this work, a relatively convenient...

Plant electrical signals, an early event in the plant–stimulus interaction, rapidly transmit information generated by the stimulus to other organs, and even the whole plant, to promote the corresponding response and trigger a regulatory cascade. In recent years, many promising state-of-the-art technologies applicable to study plant electrophysiolog...

Corn kernel moisture content is the most frequently used indicator for kernel maturity prediction and determination of the appropriate mechanized harvesting time. Corn varieties with lower moisture contents and thus faster dehydration of the corn kernels after physiological maturity are suitable for high plant density and mechanized harvesting. How...

Identification of salt tolerance of crops usually requires long-term observation of morphology, or physiological and biochemical experiments, which are time-consuming and laborious tasks. This paper proposes a model, based on a one-dimensional convolutional neural network (1D-CNN) with a conditional generative adversarial network (CGAN), which can...

An accurate forecast of daily meteorological factors throughout the year is not only of great significance for the study of climate trends in a certain area but also enables the prediction of crop growth stages. Moreover, the prediction of crop growth stages is related to the scheduling of planting and tillage, the determination of machine harvest...

Microscopic object recognition and analysis is very important in micromanipulation. Micromanipulation has been extensively used in many fields, e.g., micro-assembly operation, microsurgery, agriculture, and biological research. Conducting micro-object recognition in the in-situ measurement of tissue, e.g., in the ion flux measurement by moving an i...

Imaging of the root zone of a plant is extremely important for studies of the root growth and development, root moisture and nutrient absorption, and water and nutrient transport in the root zone. Many noninvasive methods have been proposed for mapping, characterization or monitoring of the generally invisible and complex root zone. Benefiting sign...

Unlike animals, few vascular plants are known to spontaneously generate rhythmic electrical signals. In plants electrical signals triggered in response to external environmental changes are of physiological significance. However, plant electrical signals require experimental skill to measure, are stimulus-pattern dependent, and show poor quantitati...

The root zone of a plant is an important system that provides a base for use of nutrients and water and has been the focus of many researchers’ work. This paper examines a new electrical impedance spectroscopy (EIS) measurement approach within the 100 Hz–2 MHz range in the substrate root zone that uses an adjacent stimulation and measurement patter...

Simultaneous detection of both ion flux and membrane potential in vivo and in situ in plants is a challenging research task. To explore the mechanisms of plant electrical activity, researchers urgently need to understand and determine the types of ions and the ion fluxes that pass in and out of cells during polarization and repolarization, but the...

At present, plant electrophysiological data volumes and complexity are increasing rapidly. It causes the demand for efficient management of big data, data sharing among research groups, and fast analysis. In this paper, we proposed PlantES (Plant Electrophysiological Data Sharing), a distributed computing-based prototype system that can be used to...

Research in plant electrophysiology has been developed for more than 100 years. However, even today, there are still many researchers may be puzzled by the results of different amplitude waveforms when recording plant potential signals. It is necessary to make a discussion of plant electrical potential recording method. In this paper, the history o...

With the development of applications and high-throughput sensor technologies in medical fields, scientists and scientific professionals are facing a big challenge—how to manage and analyze the big electrophysiological datasets created by these sensor technologies. The challenge has several aspects: one is the size of the data (which is usually more...

With the development of applications and high‐throughput sensor technologies in medical fields, scientists and scientific professionals are facing a big challenge—how to manage and analyze the big electrophysiological datasets created by these sensor technologies. The challenge exhibits several aspects: one is the size of the data (which is usually...

At present, multi-electrode array (MEA) approach and optical recording allow us to acquire plant electrical activity with higher spatio-temporal resolution. To understand the dynamic information flow of the electrical signaling system and estimate the effective connectivity, we proposed a solution to combine the two casualty analysis approaches, i....

Moisture content is an important factor in corn breeding and cultivation. A corn breed with low moisture at harvest is beneficial for mechanical operations, reduces drying and storage costs after harvesting and, thus, reduces energy consumption. Nondestructive measurement of kernel moisture in an intact corn ear allows us to select corn varieties w...

(1) Background: Plant electrical signals are important physiological traits which reflect plant physiological state. As a kind of phenotypic data, plant action potential (AP) evoked by external stimuli—e.g., electrical stimulation, environmental stress—may be associated with inhibition of gene expression related to stress tolerance. However, plant...

The aim of our work is to evaluate the performance of non-beacon IEEE 802.15.4 networks with acknowledgement (ACK) mode and retransmission limits in a finer time unit. Moreover, we predict network performance parameters using backpropagation artificial neural networks (BP-ANNs) with respect to a given quality of service for real-world applications....

SIET (Self-referencing Ion Electrode Technique) provides a novel electrophysiological tool which can non-invasively measure the dynamic influxes and effluxes of ions caused by the diffusion along the concentration gradients in vivo. However, in this technique ion fluxes are converted to voltage signals using an ion selective microelectrode at a sma...

Bioelectrical signals can reflect physiological state of organs or tissues in plants and have a significant potential value in research of plant stress tolerance. In order to study the relationship between environment factors and electrical signals in plant, a portable multi-channel physiological signal acquisition system which relevant in plant ph...

Cellular plasticity has an important role in the progression of hepatocellular carcinoma (HCC). In this study, the involvement of a TGF-β1-CD147 self-sustaining network in the regulation of the dedifferentiation progress was fully explored in HCC cell lines, hepatocyte-specific basigin/CD147-knockout mice and human HCC tissues. We demonstrated that...

The existing researches focused on using the commercial full wavelength spectrometer to determine the quality parameters of meat by detecting the meat emulsion, which were difficult to achieve online and non-destructive detection of the moisture content of intact meat. Moreover, the accuracy of pieces moisture detection is low, and people did not c...

The pulling of the glass microelectrode is a necessary technology in the electrophysiological measurement techniques. In order to better meet the requirements of electrophysiological experiments, we designed a multi-functional microelectrode puller, and gave the design of functional modules, and discussed its controlling effect. In this paper, we a...

The limitations of conventional extracellular recording and intracellular recording make high-resolution multisite recording of plant bioelectrical activity in situ challenging. By combining a cooled charge-coupled device camera with a voltage-sensitive dye, we recorded the action potentials in the stem of Helianthus annuus and variation potentials...

The properties of superalloys are typically deteriorated by the coarsening of the nano-sized γ' phase, which is the primary strengthening component at high temperatures. Stabilizing the γ' phase represents one of the key challenges in developing next-generation superalloys. Herein, we fabricate a cobalt-nickel-based superalloy with a nanoscale cohe...

Damaging thermal stimuli trigger long-lasting variation potentials (VPs) in higher plants. Owing to limitations in conventional plant electrophysiological recording techniques, recorded signals are composed of signals originating from all of the cells that are connected to an electrode. This limitation does not enable detailed spatio-temporal distr...

An self-referencing ion electrode technique provides a novel electrophysiological tool which can non-invasively measure the dynamic influxes and effluxes of ions from cells and organs in vivo. In fact, the foundation of this technique is the fabrication and performance test of an ion selective microelectrode (ISME). In this paper, the K+ ISMEs with...

Optical recording is widely used in electrophysiology research of animal cells, providing a good reference for the measurement of plant electrical signals at the multi-cell level. The aim of this research is to develop a method for monitoring the dynamic synchronous electrical activity in plant cells. Using a leaf strip of Vicia faba L as the speci...

The purpose of this work was to determine the relationship between intracellular and extracellular potential in plant cells and clarify the characteristic of extracellular measurement. Importantly, we aimed to explain the interesting phenomenon that the results using extracellular recording were significantly different from those of many research g...

Moisture content is one of the most important elements influencing the quality of porcine meat. However, in recent years, illegally water-injected meat has been discovered repeatedly in the Chinese market. It is well known that high moisture content allows microbes to multiply easily, which can affect people’s health and causes major problems for t...

Hollow capsules with nano-scaled walls were prepared by electrostatic layer-by-layer deposition of diazo-resin in alternation with nafion onto microparticles templates, followed by dissolution of the cores with acid solution or organic solvent. The stepwise growth of multilayers was followed by UV/VIS spectra. The formation of hollow capsules was v...

A common greenhouse application uses a small camera to monitor a particular plant of interest. Because of resource constraints in the sensor nodes, digital image transmission is a challenge for image-sensor-based wireless sensor networks (WSNs). A useful design and implementation of a wireless image sensor network with low costs, low power, and bas...

In this paper, we propose a high precision, low power consumption bioelectrical impedance spectroscopy system prototype which provides programmable frequency sweep and tuning capability for impedance measurement from 10 to 1 M using Analog Devices AD5933 impedance measurement chip. Coefficients of variability (CVs) are applied to assess the stabili...

The objective of this work was to determine the concentration of myoglobin in fresh pork meat and establish a fast non-invasive method using steady spatially-resolved spectroscopy (SRS). The concentration of myoglobin was calculated based on absorbance coefficients at 640, 760, 800, 850 nm. The results showed that the value of myoglobin using SRS w...

In this work, we propose a Web-based monitoring system using wireless sensor networks (WSNs) to measure plant parameters and environmental factors in greenhouses. To detect and send these variables, e.g. leaf temperature, air humidity, a ZigBee-based WSN collects data, which is transmitted by GPRS modules and the Internet to a central computer, and...

Tenderness is one of the main sensory and eating qualities of meat. Conventional measurement of tenderness is a time-consuming and invasive method. Using steady spatially-resolved spectroscopy, a multi-channel visible and near infrared spectroscopy instrument was established to obtain the reduced scattering coefficient mu's. of porcine longissimus...

Refers to Xiaofei Yan, Zhongyi Wang, Lan Huang, Cheng Wang, Ruifeng Hou, Zhilong Xu, Xiaojun Qiao "Research progress on electrical signals in higher plants" Progress in Natural Science, Volume 19, Issue 5, 10 May 2009, Pages 531-541. The authors would like to inform the readers that in the above mentioned paper, the word "Loosestrife" on p. 533, th...

Based on the principle of bio-impedance spectroscopy, a non-destructive portable bio-impedance prototype system for measuring meat quality was developed. The system consisted of a signal generator unit and a detection unit. The former unit could output sinusoidal signal with automatic frequencies scanning, which is range from 0.1 kHz to 250 kHz. Th...

This review introduces the characteristics of electrical signals in higher plants and their corresponding physiological significance, and describes in detail the impact of environmental factors (e.g. light and temperature) on the electrical potential of the plants. Also, we evaluate the measurement techniques used for electrical signals in plants,...

We have developed a multi-channel system for simultaneous monitoring of multiple environmental factors and electrical signals in cucumber plants in the greenhouse. The system includes a special sensor, which is both sensitive and reliable for long-term use for collecting electrical signals. In this work, coefficients of variability (CVs), Pearson's...

Near infrared spectroscopy technology for inner quality detection and analysis is a rapid and accurate technique. The factors affecting the stability of quantitative analysis models based on NIRS especially the influence of scattering, were investigated. The methods of determination of the parameters of optical properties of sample (scattering coef...

A method was established to determine water content of fresh meat in deep layer based on NIRS diffusion reflectance spectroscopy by using LEDs. The experimental apparatus was established to investigate internal water content with repeated experiments for pork and mince pork; the water concentration and the water content detected by standard method...

The influence of sample temperature on the wheat PLS near infrared (NIR) quantitative analysis was studied with 45 wheat seeds. The original spectra of the wheat seeds were measured at different temperatures. The temperature corrections were subtracted from the original spectra of the samples by using the PLS algorithm. The corrected spectra were u...

The ion mechanism for membrane potential of higher plant was discussed in this paper. A modified Hodgkin and Huxley model was developed for description of the electrical signals in plant. Three individual components of ionic current were formulated in terms of Hodgkin and Huxley model. It include potassium current IK, calcium current ICa, and anion...

The value of the volatile basic nitrogen of meat is an important index to determine the freshness of meat. It is difficult to meet the demand of fast and non-destructive measurement by means of classical semimicro-quantitative nitrogent method. A model to predict the value of the volatile basic nitrogen based on near-infrared reflectance spectrosco...

The present study piled a cube array with the winter wheat's cap reflection hyperspectra sampled from 35 experimental districts during 8 growth periods, and then used a multiway partial least squares (NPLS) algorithm to establish a model to assess the per-mu-yield of winter wheat. The model was used to predict the per-mu-yields of other 13 experime...