This survey overviews recent advancements in wireless soil sensing technologies, such as sensors and communication systems to manage enhance health crop production for sustainable agricultural practices. The surveyed technologies are categorized by the target parameters, moisture, temperature, salinity, pH, nutrient concentration, pressure, heavy metals content. Special focus is placed on passive semi-passive principles data collection, transmitting sensed data, machine learning approaches...

At present, the protection of ecological water environment in Min River Basin has achieved certain results, but problems remain that require strengthened and environmental management. Understanding connection between quality factors exploring affecting are great significance determining pollution status watershed promoting comprehensive management quality. In this study, data collected from 20 monitoring stations were used to qualitatively quantitatively evaluate waters watershed. Then,...

To achieve a more accurate assessment of water resource carrying capacity (WRCC), the indicators resources, social and ecological environment were selected to construct WRCC system on basis combinatorial assignment method with advantages. Moreover, incorporation key quality influences into predictions facilitated performance predictive models. Adaptive Lasso Regression was used select factors affecting quality, whereas CatBoost algorithm ranked importance by in prediction model. The...

Recently, a cellular automata learning and prediction (CALP) model was proposed that considered images as living cells used to evolve synthetically augment handwritten data. In this paper, another data augmentation method is inspired by the flocking pattern of birds. It any image sample in set can be represented an assembly Each bird specifically located at point or pixel collectively form image. Using well-defined mechanism, new positions for these birds calculated. snapshot position...

Deep learning methods have achieved state-of-the-art performance on synthetic aperture radar (SAR) target recognition tasks in recent years. However, obtaining sufficient SAR images for training these deep is costly time and labor. This paper focuses recognizing targets with a few samples, that is, few-shot recognition. We combine neural networks' powerful feature representation capabilities the nonparametric flexibility of Gaussian processes (GPs) propose model based kernel learning....

In this paper, we investigate the application of using software-defined radio (SDR) and surface acoustic wave (SAW) device for wireless measurement response in situ sensors. SDR uses software to realize different communication functions. After collecting magnitude phase at discrete frequencies, apply inverse Fourier transform analyze time domain responses which, turn, allows monitoring changes sensor. We employ microwave signal flow graph concepts improve quality received signals. Comparing...

Point cloud analysis has achieved outstanding performance by transferring point pre-trained models. However, existing methods for model adaptation usually update all parameters, i.e., full fine-tuning paradigm, which is inefficient as it relies on high computational costs (e.g., training GPU memory) and massive storage space. In this paper, we aim to study parameter-efficient transfer learning with an ideal trade-off between task parameter efficiency. To achieve goal, freeze the parameters...

Biological nitrogen fixation is crucial for agriculture and improving fertilizer efficiency, but organic fertilizers in enhancing this process remain debated. Here, we investigate the impact of on biological through experiments propose a new model where bacterial interactions with complex carbon sources enhance fixation. Field showed that adding increased nitrogenase activity by 57.85%. Subculture revealed addition enriched genes corresponding to energy metabolism, as well nifJ involved...

This study presents the fabrication of vermiculite monolayer membranes centimeter scales via a modified Langmuir–Blodgett technique to prompt practical application H/D separation.

The infrared normal spectral emissivity of the oxidized molybdenum was measured during thermal oxidation process, and integral calculated from data emissivity. It is found that surface has a remarkable effect on molybdenum, curves become more fluctuant with increase in time. grows exponentially time at 773 K, remains almost constant 823 fluctuates 873 923 K. X-ray fluorescence spectrometer, diffraction, scanning electron microscopy were employed to analyze changes composition morphology....

While scene text image super-resolution (STISR) has yielded remarkable improvements in accurately recognizing text, prior methodologies have placed excessive emphasis on optimizing performance, rather than paying due attention to efficiency - a crucial factor ensuring deployment of the STISR-STR pipeline. In this work, we propose novel Efficient Scene Text Image Super-resolution (ESTISR) Network for resource-limited platform. ESTISR's functionality primarily depends two critical components:...

It is generally accepted that air quality closely related to human health. In this study, investigate the dynamic characteristics of and explore driving factors pollution, Air Quality Index (AQI) concentration data six pollutants (CO, NO2, O3, PM2.5, PM10, SO2) were fitted functional curves using B-spline basis function. Compared with discrete data, can better express reduce information loss. Additionally, clustering based on principal component coefficient was established analyze...

Water Ecological Civilization Construction (WECC) is critical for promoting long-term resource, economic, and social development. The Min River the longest in Fujian Province, China, known as “golden canal” shipping. In this study, data from cities around were used to build an evaluation index system WECC River, incorporating Pressure–State–Response model, matter element extension model was examine level Basin. results indicate that notable progress has been made Basin, despite evident...

A broadband cross dipole antenna for ultra-high frequency (UHF) near-field radio identification (RFID) applications is proposed in this paper. The with two perpendicular coplanar dipoles can identify the tags that placed random perpendicularly to antenna's surface. prototype fabricated and tested verification. By adjusting length of one dipole, characteristic obtained. Measured results show operating bandwidth (S11<-10dB) about 210MHz from 852 1062MHz. Meanwhile, a strong uniform...

Aerospace control software is the most important part of aerospace software. Since its potential defects endanger life and safety, there are strict requirements on product quality. Therefore, efficient reliable testing essential. The traditional method has been challenging to meet development requirements, automation gradually become main tool for For software, core problem locate GUI widgets screenshots identify their intent, which directly affects accuracy test. Because this, we use widget...

Recently, the development of computer image technology makes tampering more and convenient, causing a large number accidents. The existing scheme uses manual features depth to analyse forgery traces, has achieved good results. However, schemes lack analysis essential traces have defects in generalisation performance. In this paper, an detection based on feature consistency attention is proposed. inconsistency between real region background used improve ability algorithm for unknown images....

A graph neural network-based recommendation system treats the relationship between user items as a graph, and achieves deep feature mining by modelling nodes. However, complexity of features systems brings poor interpretability suffers from data sparsity problems. To address above problems, convolutional network model (RWESA-GNNR) based on random walk embedding combined with sentiment analysis is proposed. Firstly, walk-based matrix factorization designed initial embedding. Secondly, item...

Taking BL Pharmaceuticals as an example, this paper analyzes the changes in its financial performance before and after implementation of equity incentive plan, discusses implications plan for enterprise development. It is found that was put into effect, Pharmaceuticals' indicators such operating income, net profit asset value all showed significant improvement. In addition, work motivation employees has been well stimulated, thus promoting development innovation enterprise. Equity programs...