Forest mapping, one of the main components performing a forest inventory, is an important driving force in development laser scanning. Mobile scanning (MLS), which scanners are installed on moving platforms, has been studied as convenient measurement method for mapping past several years. Positioning and attitude accuracies using MLS systems. Inertial Navigation Systems (INSs) Global Satellite (GNSSs) typical popular positioning sensors used In environments, because loss signal due to...

The excessive use of power semiconductor devices in a grid utility increases the malfunction control system, produces quality disturbances (PQDs) and reduces electrical component life. present work proposes novel algorithm based on Improved Principal Component Analysis (IPCA) 1-Dimensional Convolution Neural Network (1-D-CNN) for detection classification PQDs. Firstly, IPCA is used to extract statistical features PQDs such as Root Mean Square, Skewness, Range, Kurtosis, Crest Factor, Form...

Abstract. An embedded computer-controlled, laser-guided, air-assisted, variable-rate precision sprayer was developed to automatically adjust spray outputs on both sides of the match presence, size, shape, and foliage density tree crops in real time. The integration an computer, a touch screen, 270° radial-range laser sensor, travel speed unique algorithm, custom-designed automatic flow rate control unit, 40 pulse-width-modulated (PWM) nozzles. accuracy detect different-sized trees individual...

High-spatial-resolution satellite remote sensing (RS) images facilitate mapping fine-scale bathymetry over broad geographic areas using either empirical or analytical methods. However, inferring from such remains challenging in practical applications. For the approach, high-quality in-situ depth calibration data that are required to establish a reliable bathymetric model unavailable excessively expensive. high-spatial-resolution RS without an adequate number of spectral bands can be...

Abstract In order to ensure the effective analysis and reconstruction of forests, it is key quantitative description their spatial structure. this paper, a distance model for optimal stand structure based on weighted Voronoi diagrams proposed. particular, we provide novel methodological comprehensive evaluation forest stands in natural mixed conifer-broadleaved forests formulation management decision plans. The applicability rank solution are compared assessed different standard sample plots...

Increasing demand for sustainable agriculture necessitates precise and efficient crop management to minimize resource wastage environmental impact. To improve the precision of pesticide application in tomato leaves, a real-time leaf detection method using an improved YOLOv8 algorithm is proposed. The framework was developed by integrating Depthwise Grouped Convolutions AdamW optimizer achieve both computational efficiency capabilities. integration SE_Block further enhanced feature...

In order to guide orchard management robots realize some tasks in production such as autonomic navigation and precision spraying, this research proposed a deep-learning network called dynamic fusion segmentation (DFSNet). The contains local feature aggregation (LFA) layer architecture. LFA uses the positional encoders for initial transforming embedding, progressively aggregates patterns via multi-stage hierarchy. module (Fus-Seg) can format point tags by learning multi-embedding space,...

The precision of railway map is becoming a significant issue for autonomous train scheduling, monitoring and maintenance, related location-based service (LBS), further ensuring travel safety. Mobile 3D laser scanning an efficient method making relative high-precision track maps, particularly during the night period light detection ranging (LiDAR) can work without ambient light. In this paper, we propose accurate vectorization based on LiDAR point clouds from self-built Laser Scanning (MLS)...

Abstract We introduce the curve complexity heuristic (CCH), a KD‐tree construction strategy for 3D curves, which enables interactive exploration of neighborhoods in dense and large line datasets. It can be applied to searches k‐nearest curves (KNC) as well radius‐nearest (RNC). The CCH consists two steps: (i) decomposition that takes into account (ii) construction, involves novel splitting early termination strategy. obtained allows us improve speed existing neighborhood search approaches by...

In real outdoor canopy profile detection, the accuracy of a LIDAR scanner to measure structure is affected by potentially uneven road condition. The level error associated with attitude angles from undulations in ground surface can be reduced developing appropriate correction algorithm. This paper proposes an offline angle offset algorithm based on 3D affine coordinate transformation. validity verified conducting indoor experiment. experiment was conducted especially designed measurement...

Accurate acquisition of canopy structures, sizes and shapes plants are significant in providing technical data for variable-rate precision spraying plant growth estimation modern agriculture. This research work proposes a comparative analysis two mainstream brands laser sensor scanners detection. A Hokuyo UTM-30LX Sick LMS151-10100 was used to detect spray targets including artificial trees cuboid foam box, respectively. Two storage algorithms based on C++ language have been developed...

Utilizing gene expression data to infer regulatory networks has received great attention because regulation can reveal complex life phenomena by studying the interaction mechanism among nodes. However, reconstruction of large-scale is often not ideal due curse dimensionality and impact external noise. In order solve this problem, we introduce a novel algorithms called ensemble path consistency algorithm based on conditional mutual information (EPCACMI), whose threshold dynamically...

Wavelet entropy (WE), which is calculated from the lifting wavelet transform (LWT) coefficients, proposed to detect and locate power quality disturbances. As one of methods build second-generation wavelets, LWT can be easy achieve in time domain for its original bit location calculation could lessen complexity due particular structure, compared with first generation (WT) algorithm. shown by simulation experiment results, WE measurement scheme based on approach has been validated efficient...

In this paper, a novel hybrid vehicle chassis is designed without assisted steering system and its kinematics model, dynamics model as well of the control system. The existing mechanism does not provide enough torque or has shortage mechanical strength control. proposed design capability to solve these problems easily. first part study, development are introduced. After that, new 4-wheel-drive (4WD) including platform, device, self-steering designed. Its models built. Furthermore, optimize...

In this paper, a LiDAR-based interactive target detection system was developed to characterized tree canopy structures under various laser sensor travel speed and distances. The composed of sliding motion control Lidar-based unit. unit used 270° range scanning measure object surface distances based on the time-of-flight principle. distance controlled via by specifying position as set point. A real-time data acquisition post-processing programs were C++ MATLAB programming languages...

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Remote sensing technology has found extensive application in agriculture, providing critical data for analysis. The advancement of semantic segmentation models significantly enhances the utilization point cloud data, offering innovative technical support modern horticulture nursery environments, particularly area plant cultivation. Semantic results aid obtaining tree components, like canopies and trunks, detailed on growth environments. However, precise from large-scale areas can be...