In order to solve the problem of data loss in sensor collection, this paper took stem moisture plants as object, and compared filling value missing same segment with different methods verify validity accuracy water LSTM (Long Short-Term Memory) model. This for under collection. Original was selected from Lagerstroemia Indica which planted Haidian District Beijing June 2017. Part treated manually deleted. Interpolation methods, time series statistical RNN (Recurrent Neural Network), neural...

Stem water content (StWC = volume of : stem) is an important physiological parameter for vascular plants. And a better understanding StWC contributes to solving some research hotspots in forestry, such as drought resistance, cold precise irrigation, and health assessment. However, there are few noninvasive, situ, real-time, safe, low-cost methods detecting woody This article presents novel sensor noninvasive detection situ based on standing wave ratio. Moreover, extensive experiments were...

To achieve a rational allocation of limited water resources, and formulation an appropriate irrigation system, this research studied the change characteristics stem content (StWC) in plant its response to environmental factors. In study, StWC factors Lagerstroemia indica Beijing were continuously observed by BD-IV sensor forest microclimate monitoring station from 2017 2018. The variation correlation with analyzed. results showed that varies regularly day night during growth cycle....

Advancements in detection instruments have enabled the real-time acquisition of water information during plant growth; however, monitoring freeze-thaw overwintering remains a challenge. Based on relationship between change water-ice ratio and branch impedance freezing, miniature noninvasive volume ice content (BVIC) sensor was developed for changes volumetric rate woody branches period. The results performance analysis measurement circuit show that has lateral sensitivity range, resolution,...

In recent years, the advancement of deep learning technology has led to excellent performance in synthetic aperture radar (SAR) automatic target recognition (ATR) technology. However, due interference speckle noise, task classifying SAR images remains challenging. To address this issue, a multi-scale local–global feature fusion network (MFN) integrating convolution neural (CNN) and transformer was proposed study. The comprises three branches: CovNeXt-SimAM branch, Swin Transformer branch....

To address the problems in calibration of soil water content sensors, this study, we designed a low-cost edge electromagnetic field induction (EEMFI) sensor for measurement and proposed normalized method to eliminate errors caused by sensor's characteristics improve probe's consistency, replaceability, efficiency. The model curve-fitting coefficients EEMFI sensors were above 0.98, which indicated significant correlation. experimental results static dynamic showed that range varied from 0%...

Plant vitality is an important indicator of plant health. Previous studies have often assessed using related physiological parameters, but few examined the effects changes in on stem water content (StWC), which can be measured online, real time, and nondestructively a novel fringing impedance sensor. In present study, sensor calibration results showed linear fitting relationship between output voltage StWC, with coefficients reaching 0.96. The correlations StWC four parameters to (net...

Normalized Difference Vegetation Index (NDVI) is one of the most commonly used remote sensing indices to study condition vegetation. The long time series data NDVI great significance vegetation change. However, due limitations sensors, cannot obtain both high temporal resolution and spatial resolution. Therefore, among widely products, with still scarce. Based on Cubist model, we integrated MODIS Landsat Sentinel data, obtained MODIS-Landsat fusion Tajikistan from 2010 2020, MODIS-Sentinel...

Central Asia is the largest arid and semi-arid region in Northern Hemisphere, its ecological environment extremely fragile susceptible to effects of global climate change. Maintaining stability region's ecosystem crucial economic social development due unique geographic location. Vegetation serves as a significant indicator environment, spatial temporal distribution pattern, well change trend vegetation, are important indicators evaluating status region. The Normalized Difference Index...

In the current context of carbon neutrality, afforestation is an effective means absorbing dioxide. Stock can be used not only as economic value index forest wood resources but also important biomass and storage estimation in emission reduction project evaluation. this paper, we propose a data-driven machine learning framework method for predicting plantation stock based on airborne LiDAR + satellite remote sensing, carried out experimental verification at site National Forest Southern...

Traffic congestion has become a major concern in most cities all over the world. The proper guidance of cars with an effective route planning method fundamental and smart way to alleviate under existing urban road facilities. Current methods mainly focus on single car, but ignoring dynamic effect between may lead severe during actual driving guidance. In this article, we extend study case multiple present novel multicar shortest travel-time routing problem. objective is minimize average...

To achieve a rational allocation of limited water resources, and formulation an appropriate irrigation system, this research studied the change characteristics stem content (StWC) in plant its response to micro-environmental factors. In study, StWC factors Lagerstroemia indica Beijing were continuously observed by BD-IV sensor forest microclimate monitoring station from 2017 2018. The variation correlation with environmental analyzed. results showed varies regularly day night during growth...

The abiotic and biotic stresses including drought, cold, disease stress are linked by the fact that they all decrease availability of water to plant cells. In previous studies, some physiological factors related with status, such as stem sap flow, leaf transpiration rate, potential, were used assess effects these on plants. But there few studies about content (StWC) which can be measured a novel SWR sensor. this study, crape myrtle was selected an experimental subject its StWC observed in...

Freezing is a typical abiotic stress on plants, which can induce physiological damages of plants. A better understanding plant freeze‐thaw characteristics contributes to solving some hot issues in physiology, such as cold resistance and acclimation. This article presents novel sensor for situ detection plants based stem temperature water content. The measuring circuit was designed constant current source platinum resistance. content standing wave ratio the dielectric properties tissue....

With the continuous development of smart grid, intelligent and automation level power grid production safety supervision management mode needs to be improved. In order solve this problem, paper proposes a method based on YOLOv4 identify unsafe behaviors related construction, including wearing helmet, working clothes insulating gloves. paper, image recognition technology, behavior analysis model is established automatically whether operator's meets requirements. The mAP final algorithm...

The nasal cavity three-dimensional structure reconstruction is significant for the diagnosis and treatment of nasopharynx diseases. Currently, most systems are based on a long-source acoustic tube. However, tube has weaknesses low portability high cost. To address these issues, system short-source was designed in this research. comprises lower computer signal acquisition device upper analysis software. consists processing unit, detection microcontroller, USB communication interface. It used...

Drought is a kind of natural disaster, which has adverse effects on agricultural production, water supply and environmental ecosystem. Thus it great practical significance to accurately forecast meteorological drought index. In this study, the scPDSI was selected as evaluation indicator drought, Greater Khingan Mountains forest area in China predicted based ARIMA model. The experimental results show that model with optimal order (3,1,3). correlation coefficient each (3,1,3) greater than...

Point-of-Interest (POI) recommendation is one of the most important tasks in research Location-based Social Networks (LBSNs). To solve spatial sparsity problem POI recommendation, this study proposed a model based on graph autoencoder (GAE) and long short-term preferences applied to location recommendation. Firstly, transfer map check-in sequence constructed, from which hidden links between each are extracted using GAE alleviate troubles caused by data sparsity. Secondly, preference...