Xiaohe Gu
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View article: Tobacco yield estimation via multi-source data fusion and recurrent neural networks
Tobacco yield estimation via multi-source data fusion and recurrent neural networks Open
In China, tobacco production must strictly follow the yield plan set by the higher authorities. In this context, accurate and stable yield estimation is meaningful for effective production management. In this paper, we adopted a multi-sour…
View article: A non-destructive detection method for crab roe within live Chinese mitten crabs (Eriocheir sinensis) via near-infrared transmittance spectroscopy
A non-destructive detection method for crab roe within live Chinese mitten crabs (Eriocheir sinensis) via near-infrared transmittance spectroscopy Open
View article: Dynamic mapping of dissolved oxygen in freshwater aquaculture ponds using UAV multispectral imagery
Dynamic mapping of dissolved oxygen in freshwater aquaculture ponds using UAV multispectral imagery Open
Dissolved oxygen (DO) is an important indicator of the water health of the freshwater aquaculture pond. However, since DO is a non-photosensitive parameter, it is difficult to directly inverse using UAV imaging technology. We proposed an e…
View article: Proximal remote sensing of dissolved organic matter in aqua-culture ponds via multi-temporal spectral correction
Proximal remote sensing of dissolved organic matter in aqua-culture ponds via multi-temporal spectral correction Open
Dissolved organic matter (DOM) is a critical indicator of aquatic environmental quality, and its concentration affects the quality of aquaculture products. Integrating unmanned aerial vehicle (UAV)-based multispectral data with machine lea…
View article: Large-scale wheat lodging monitoring by band transformation of UAV and sentinel-2A multispectral imagery
Large-scale wheat lodging monitoring by band transformation of UAV and sentinel-2A multispectral imagery Open
View article: A novel canopy water indicator for UAV imaging to monitor winter wheat water status
A novel canopy water indicator for UAV imaging to monitor winter wheat water status Open
View article: Decoding spatial consistency of multi-Source land cover products in China: Insights from heterogeneous landscapes
Decoding spatial consistency of multi-Source land cover products in China: Insights from heterogeneous landscapes Open
High-resolution land cover (LC) data are essential for ecological monitoring and resource management, especially in heterogeneous landscapes containing diverse LC types. With the growing of available LC products, a comprehensive evaluation…
View article: Detecting tasseling rate of breeding maize using UAV-based RGB images and STB-YOLO model
Detecting tasseling rate of breeding maize using UAV-based RGB images and STB-YOLO model Open
View article: Using UAV-based multispectral images and CGS-YOLO algorithm to distinguish maize seeding from weed
Using UAV-based multispectral images and CGS-YOLO algorithm to distinguish maize seeding from weed Open
Accurate recognition of maize seedlings on the plot scale under the disturbance of weeds is crucial for early seedling replenishment and weed removal. Currently, UAV-based maize seedling recognition depends primarily on RGB images. The mai…
View article: A Novel Approach for Maize Straw Type Recognition Based on UAV Imagery Integrating Height, Shape, and Spectral Information
A Novel Approach for Maize Straw Type Recognition Based on UAV Imagery Integrating Height, Shape, and Spectral Information Open
Accurately determining the distribution and quantity of maize straw types is of great significance for evaluating the effectiveness of conservation tillage, precisely estimating straw resources, and predicting the risk of straw burning. Th…
View article: Mapping Soil Organic Matter in Cultivated Land Using Landsat 8 Image and GA-AdaBoost Algorithm
Mapping Soil Organic Matter in Cultivated Land Using Landsat 8 Image and GA-AdaBoost Algorithm Open
Soil organic matter (SOM) is essential for maintaining soil structure, nutrient supply, and water regulation in cultivated land, significantly impacting agricultural productivity and the health of agricultural systems. However, developing …
View article: Remote Sensing Dissolved Organic Matter in Freshwater Aquaculture Ponds by the Integration of UAV and Satellite Multispectral Images
Remote Sensing Dissolved Organic Matter in Freshwater Aquaculture Ponds by the Integration of UAV and Satellite Multispectral Images Open
Dissolved organic matter (DOM) is a pivotal indicator for assessing aquatic health and ecological functions. Monitoring DOM in aquaculture ponds using satellite requires validation through field measured samples. However, due to the inhere…
View article: Predicting Dynamic Carbon and Nitrogen Accumulation in Winter Wheat Grain Using Uav Multispectral Images
Predicting Dynamic Carbon and Nitrogen Accumulation in Winter Wheat Grain Using Uav Multispectral Images Open
View article: Monitoring of Dissolved Oxygen Dynamics in Freshwater Aquaculture Ponds Using Multi-Spectral Imaging from Uav
Monitoring of Dissolved Oxygen Dynamics in Freshwater Aquaculture Ponds Using Multi-Spectral Imaging from Uav Open
View article: Uav-Based Hyperspectral Estimation of Soil Organic Matter of Cropland Under Seedling Interference
Uav-Based Hyperspectral Estimation of Soil Organic Matter of Cropland Under Seedling Interference Open
View article: Remote Sensing Mapping of Soil Organic Matter in the Black Soil(Mollisols) Area in China from 2000 to 2023
Remote Sensing Mapping of Soil Organic Matter in the Black Soil(Mollisols) Area in China from 2000 to 2023 Open
View article: Uav-Based Hyperspectral Estimation of Soil Organic Matter of Cropland Under Seedling Interference
Uav-Based Hyperspectral Estimation of Soil Organic Matter of Cropland Under Seedling Interference Open
View article: Accurate irrigation decision-making of winter wheat at the filling stage based on UAV hyperspectral inversion of leaf water content
Accurate irrigation decision-making of winter wheat at the filling stage based on UAV hyperspectral inversion of leaf water content Open
The filling stage of winter wheat is crucial for grain formation. Precise irrigation during this period can significantly enhance both grain yield and water productivity, especially in arid regions. This study introduces a method for preci…
View article: Effects of Variety and Growth Stage on UAV Multispectral Estimation of Plant Nitrogen Content of Winter Wheat
Effects of Variety and Growth Stage on UAV Multispectral Estimation of Plant Nitrogen Content of Winter Wheat Open
The accurate estimation of nitrogen content in crop plants is the basis of precise nitrogen fertilizer management. Unmanned aerial vehicle (UAV) imaging technology has been widely used to rapidly estimate the nitrogen in crop plants, but t…
View article: Estimating water quality parameters of freshwater aquaculture ponds using UAV-based multispectral images
Estimating water quality parameters of freshwater aquaculture ponds using UAV-based multispectral images Open
UAV imaging technology has become one of the means to quickly monitor water quality parameters in freshwater aquaculture ponds. The change of sunlight during a long flight affects the quality of UAV images, which will reduce the accuracy o…
View article: Monitoring water quality parameters of freshwater aquaculture ponds using UAV-based multispectral images
Monitoring water quality parameters of freshwater aquaculture ponds using UAV-based multispectral images Open
Monitoring water quality is crucial for water exchange, precise feeding, and quality control of water products in freshwater aquaculture. In light of the issue of spatial heterogeneity in freshwater aquaculture pond waters and the constrai…
View article: The novel triangular spectral indices for characterizing winter wheat drought
The novel triangular spectral indices for characterizing winter wheat drought Open
Agricultural drought threatens food security and agricultural sustainable development. There have been numerous spectral indices from remote sensing images developed for monitoring crop drought. However, most present spectral indices are f…
View article: Intelligent classification of maize straw types from UAV remote sensing images using DenseNet201 deep transfer learning algorithm
Intelligent classification of maize straw types from UAV remote sensing images using DenseNet201 deep transfer learning algorithm Open
China has abundant straw resources, but challenges in utilization persist. Utilization rates need improvement, and environmental pollution from straw burning remains a significant issue. Accurate and intelligent remote sensing classificati…
View article: Research on methods for estimating reference crop evapotranspiration under incomplete meteorological indicators
Research on methods for estimating reference crop evapotranspiration under incomplete meteorological indicators Open
Background Accurate estimation of reference crop evapotranspiration (ET 0 ) is crucial for farmland hydrology, crop water requirements, and precision irrigation decisions. The Penman-Monteith (PM) model has high accuracy in estimating ET 0…
View article: Recognition of Maize Seedling under Weed Disturbance using Deep Learning Algorithms
Recognition of Maize Seedling under Weed Disturbance using Deep Learning Algorithms Open
Using UAV-based RGB images to recognize maize seedlings is of great significant for precise weed control, efficient water and fertilizer management. However, the presence of weeds with morphological resemblances at the maize seedling stage…
View article: Hyperspectral estimation of net photosynthetic rate of winter wheat under different water and nitrogen supplies
Hyperspectral estimation of net photosynthetic rate of winter wheat under different water and nitrogen supplies Open
Photosynthesis is a vital physiological activity in winter wheat that directly influences the production and accumulation of biomass. The net photosynthetic rate is a key indicator of photosynthetic capacity. Measuring the net photosynthet…
View article: Monitoring Water Quality Parameters of Freshwater Aquaculture Ponds Using Uav-Based Multispectral Images
Monitoring Water Quality Parameters of Freshwater Aquaculture Ponds Using Uav-Based Multispectral Images Open
View article: The Innovative Use of Spatial Syntax in Spatial Design of Tourism Landscape
The Innovative Use of Spatial Syntax in Spatial Design of Tourism Landscape Open
In the process of the continuous promotion of regional tourism, how to plan and design the tourism landscape to create a landscape environment with local characteristics and humanization will be the focus of this paper’s research. This pap…
View article: Evaluation of Growth Recovery Grade in Lodging Maize via UAV-Based Hyperspectral Images
Evaluation of Growth Recovery Grade in Lodging Maize via UAV-Based Hyperspectral Images Open
Rapid and nondestructive monitoring of the temporal dynamic changes of agronomic traits of lodging maize is crucial for evaluating the growth recovery status. The purpose of this study is to assess the time-series changes in maize growth r…
View article: Monitoring Water Quality Parameters of Freshwater Aquaculture Ponds Using Uav-Based Multispectral Images
Monitoring Water Quality Parameters of Freshwater Aquaculture Ponds Using Uav-Based Multispectral Images Open