The number of rice seedlings in the field is one main agronomic components for determining yield. This counting task, however, still mainly performed using human vision rather than computer and thus cumbersome time-consuming. A fast accurate alternative method acquiring such data may contribute to monitoring efficiency crop management practices, earlier estimations yield, as a phenotyping trait breeding programs. In this paper, we propose an efficient that uses accurately count digital...

As prior information for precise nitrogen fertilization management, plant content (PNC), which is obtained timely and accurately through a low-cost method, of great significance national grain security sustainable social development. In this study, the potential unmanned aerial vehicle (UAV) RGB system was investigated rapid accurate estimation winter wheat PNC across growing season. Specifically, texture features were utilized as complements to commonly used spectral information. Five...

Less evidence concerning the association between ambient temperature and mortality is available in developing countries/regions, especially inland areas of China, few previous studies have compared predictive ability different indictors (minimum, mean, maximum temperature) on mortality. We assessed effects daily from 2003 to 2010 Jiang'an District Wuhan, largest city central China. Quasi-Poisson generalized linear models combined with both non-threshold double-threshold distributed lag...

The branches of fruit trees provide support for the growth leaves, buds, flowers, fruits, and other organs. number length guarantee normal growth, flowering, fruiting are thus important indicators tree yield. However, due to their low height high branches, precise management lacks a theoretical basis data support. In this paper, we introduce method extracting topological structural information on based LiDAR (Light Detection Ranging) point clouds proved its feasibility study branches....

Ambient fine particulate matter (PM) has been associated with impaired lung function, but the effect of temperature on function and potential interaction between PM remain uncertain. To estimate short-term effects PM2.5 combined we measured daily peak expiratory flow (PEF) in a panel 37 healthy college students four different seasons. Meanwhile, also monitored concentrations indoor outdoor (particulate an aerodynamic diameter ≤2.5 μm), ambient relative humidity study area, where participants...

Above-ground biomass (AGB) is an important indicator for effectively assessing crop growth and yield and, in addition, ecological the efficiency with which crops use light store carbon ecosystems. However, most existing methods using optical remote sensing to estimate AGB cannot observe structures below maize canopy, may lead poor estimation accuracy. This paper proposes stem-leaf separation strategy integrated unmanned aerial vehicle LiDAR multispectral image data maize. First, correlation...

The leaf area index (LAI) is a key parameter for describing crop canopy structure, and of great importance early nutrition diagnosis breeding research. Light detection ranging (LiDAR) an active remote sensing technology that can detect the vertical distribution canopy. To quantitatively analyze influence occlusion effect, three flights multi-route high-density LiDAR dataset were acquired at two time points, using Unmanned Aerial Vehicle (UAV)-mounted RIEGL VUX-1 laser scanner altitude 15 m,...

The planting year of apple orchard not only determines the fruit output but also provides information for governmental management industry. However, considering that different orchards use and cultivation methods, this may result in some trees having similar outlines years, it is, therefore, difficult to effectively determine actual based on textural or structural characteristics. Therefore, monitoring method provided paper is monitor growing positively from seedlings time series remote...

Anode-free lithium metal batteries (AFLMBs) offer high-energy-density battery systems, but their commercial viability is hindered by irregular dendrite growth and "dead Li" formation caused current collector defects. This study employed filtered cathode vacuum arc (FCVA) technology to fabricate Cu collectors (CCs) with a lithiophilic Zn3N2 film. advanced preparation process ensures an evenly distributed film that reduces the nucleation overpotential, homogenizes interfacial electric field...

Abstract Leaf chlorophyll content (LCC) is a key indicator for assessing the growth of grapes. Hyperspectral techniques have been applied to LCC research. However, quantitative prediction grape using this technique remains challenging due baseline drift, spectral peak overlap, and ambiguity in sensitive range. To address these issues, two typical crop leaf hyperspectral data were collected reveal response characteristics standardization by variables (SNV) multiple far scattering correction...

Ambient air pollution has posed negative effects on human health. Individual-level factors may modify this effect, but previous studies have controversial conclusions, and evidence is lacking especially in developing countries. This study aims to examine the modifying of sex, age, education level individuals associated between daily mortality pollutants, including particulate matter < 10 μm aerodynamic diameter (PM10), sulfur dioxide (SO2), nitrogen (NO2). Time-series analysis was conducted...

Chlorophyll, as a key component of crop leaves for photosynthesis, is one significant indicator evaluating the photosynthetic efficiency and developmental status crops. Fractional-order differentiation (FOD) enhances feature spectral information reduces background noise. In this study, we analyzed hyperspectral data from grape different varieties fertility periods with FOD to monitor leaves’ chlorophyll content (LCC). Firstly, through sensitive analysis, fractional-order differential...

Accurate determination of phenological information crops is essential for field management and decision-making. Remote sensing time-series data are widely used extracting phases. Existing methods mainly extract phases directly from individual remote time-series, which easily affected by clouds, noise, mixed pixels. This paper proposes a novel method phase extraction based on the time-weighted dynamic time warping (TWDTW) algorithm using MODIS Normalized Difference Vegetation Index (NDVI)...

As a key functional trait, leaf photosynthetic pigment content (LPPC) plays an important role in the health status monitoring and yield estimation of apples. Hyperspectral features including vegetation indices (VIs) derivatives are widely used retrieving biophysical parameters. The fractional derivative spectral method shows great potential LPPC. However, performance machine learning (ML) for apple LPPC still needs to be explored. objective this study is test capacity using ML methods...

Accurate determination of crop phenology is key to field management and decision making. The existing research on based remote sensing data mainly monitoring, which cannot realize the prediction phenology. In this paper, we propose a method predict maturity date (MD) winter wheat combination monitoring accumulated temperature. divided into three steps. First, 2-band Enhanced Vegetation Index (EVI2) time series were generated using moderate-resolution imaging spectroradiometer (MODIS)...

Abstract Background Limited studies have explored the association between gaseous pollutant exposures and male reproductive outcomes, findings remained inconsistent. Objectives To evaluate potential pollutants semen quality within different exposure windows. Materials Methods We adopted data of 1852 subjects who attended Reproductive Medicine Center Renmin Hospital at Wuhan University during January 1st, 2013, to August 3rd, 2015. A generalized linear model was employed assess relationship...

With the increase in frequency of extreme weather events recent years, apple growing areas Loess Plateau frequently encounter frost during flowering. Accurately assessing loss orchards flowering period is great significance for optimizing disaster prevention measures, market price regulation, agricultural insurance, and government subsidy programs. The previous research on orchard disasters mainly focused early risk warning. Therefore, to effectively quantify loss, this paper proposes a...

Leaf base and inclination angles are two critical 3-D structural parameters in agronomy remote sensing for breeding modeling. Terrestrial laser scanning (TLS) has been proven to be a promising tool quantify leaf angles. However, previous TLS studies often focused on of certain trees or plants with flat leaves, such as European beech. Few have worked maize due their curved elongated characteristics. In this study, machine learning-based [support vector (SVM)] method structure-based [skeleton...

The normalized difference vegetation index (NDVI) is an important agricultural parameter that closely correlated with crop growth. In this study, a novel method combining the dynamic time warping (DTW) model and long short-term memory (LSTM) deep recurrent neural network was developed to predict short medium-term winter wheat NDVI. LSTM well-suited for modelling long-term dependencies, but may be susceptible overfitting. contrast, DTW possesses good predictive ability less Therefore, by...

Nitrogen is the main nutrient element in growth process of white radish, and accurate monitoring radish leaf nitrogen content (LNC) an important guide for precise fertilization decisions field. Using LNC as object, research on hyperspectral estimation methods was carried out based field sample data at multiple stages using feature selection integrated learning algorithm models. First, Vegetation Index (VI) constructed from data. We extracted sensitive features VI response to Pearson’s...