The spread of infections and rot are crucial factors in the decrease tomato production. Accurately segmenting affected tomatoes real-time can prevent illnesses. However, environmental surface features affect segmentation accuracy. This study suggests an improved YOLOv8s-Seg network to perform effective fruit, color, features. feature fusion capability algorithm was by replacing C2f module with RepBlock (stacked RepConv), adding SimConv convolution (using ReLU function instead SiLU as...

Abstract In tomato producing fields, automated large-area detection method is critical for fruit health monitoring and harvesting. However, due to the limited feature information included in tomatoes, across long distances results more missing or incorrect detections. To address this issue, research proposes an improved YOLOv8 network, RSR-YOLO, long-distance identification of fruits. Firstly, paper designs a partial group convolution (PgConv) furthermore innovative FasterNet (IFN) module...

Humans acquire knowledge through three cognitive stages: perceiving information, comprehending knowledge, and adapting to solve novel problems. Videos serve as an effective medium for this learning process, facilitating a progression these stages. However, existing video benchmarks fail systematically evaluate the acquisition capabilities in Large Multimodal Models (LMMs). To address gap, we introduce Video-MMMU, multi-modal, multi-disciplinary benchmark designed assess LMMs' ability utilize...

Cation exchange capacity （CEC） reflects the ability of soil to sequester exchangeable cations and is an important indicator fertility environmental quality agricultural soils. The indoor titration method for determining cation expensive cumbersome. To this end, 565 samples from 0-20 cm plough layer were collected farmland in Ningxia, parameters pH, organic carbon, mechanical composition determined. A field-scale estimation model was constructed using multiple linear regression machine...

Abstract In the process of mechanized production mulberry, falling collision damage is one main forms, which causes serious and accelerates fruit decay. Through drop test simulation analysis mulberry fruit, relationship between conditions degree was established, so as to provide reference for reducing damage. The carried out. factors indicators established. height, plate angle, material, direction were taken factors, then energy loss selected indicator. analyzed by numerical simulation,...

Accurate obstacle detection and proper behavior planning are key factors in the success of transmission line inspection robots. To achieve autonomous location identification obstacles operation robots, we propose a method which information from various sensors is used to control robot such that it can reliably stably approach, locate, identify obstacles. The accuracy real-time requirements analyzed, multi-sensor integrated structure for proposed, an algorithm designed each stage. principle...

Abstract In tomato producing fields, automated large-area detection method is critical for fruit health monitoring and harvesting. However, due to the limited feature information included in tomatoes, across long distances results more missing or incorrect detections. To address this issue, research proposes an improved YOLOv8 network, RSR-YOLO, long-distance identification of fruits. Firstly, paper designs a partial group convolution (PgConv) furthermore innovative FasterNet (IFN) module...

The distribution law of residual stress in multi-channel scanned plasma cladding Co-based alloy under different process parameters was studied by means simulation and tests, the optimum were optimized. model field established ABAQUS software, influence working current, scanning speed, mode on studied. A set optimal obtained. layer measured blind hole method compared with value finite element model. results show that there is tensile surface layer. along direction path greater than scan...

Abstract Real time data services play an important role in the construction of Smart oilfields, which can help oilfield production managers better understand situation and make more accurate decisions. based on Data Lake platform will bring efficient safer methods to oil gas fields, promoting upgrading sustainable development industry. The technical architecture real-time service mainly includes lake platform, big processing, edge computing other core technologies. provides infrastructure,...

The electrocardiogram (ECG) is an essential non-invasive diagnostic tool for assessing cardiac conditions. Existing automatic interpretation methods suffer from limited generalizability, focusing on a narrow range of conditions, and typically depend raw physiological signals, which may not be readily available in resource-limited settings where only printed or digital ECG images are accessible. Recent advancements multimodal large language models (MLLMs) present promising opportunities...

Despite their promise to perform complex reasoning, large language models (LLMs) have been shown limited effectiveness in end-to-end planning. This has inspired an intriguing question: if these cannot plan well, can they still contribute the planning framework as a helpful evaluator? In this work, we generalize question consider LLMs augmented with visual understanding, i.e., Vision-Language Models (VLMs). We introduce PathEval, novel benchmark evaluating VLMs evaluators path-planning...

This paper elaborates on a digital simulation study supernormal particle flow used to investigate and analyze the process of picking up jujube branches, which was meaningful attempt search for accurate effective advanced numerical analogy methods in agricultural field. In this paper, meshless technology based element-free Galerkin method first time present effects size, number acting force movement irregular particles, influence gear rotation speed, feeding amount, branch size behavior as...

To improve the environment perception ability of wheeled mobile robots (WMRs), visual behavior mechanism negative-correlation motion chameleons is introduced into binocular vision system WMRs, and a shifty-behavior-based model with chameleon-inspired active for WMRs established, where vision–motor coordination achieved. First, target search sub-model built. The relationship between rotation angles two cameras neck camera’s field view (FOV), overlapping angle, region interest, etc., analyzed...

<title>Abstract</title> The safety of the substation is related to stability social order and people's daily lives, habitat reproduction birds can cause serious accidents in power system. In this paper, solve problem low accuracy rate when YOLOv5l model applied bird-repelling robot for detection, a C3ECA-YOLOv5l algorithm proposed accurately detect four common bird species near real time: pigeon, magpie, sparrow swallow. Four attention modules—Squeeze-and-Excitation (SE), Convolutional Block...

Aiming at the problem that vibration of space robot will reduce dynamic accuracy robot, a method suppression through trajectory planning is proposed. First, joint was simplified to linear torsion spring, and flexible rod modelled using finite element method, resulting in motion model robot. Then, rigid-soft coupled combined with Lagrange established. Using model, factors influencing behaviour robots were analysed. Finally, subjected planning. As verified by experimental analysis, different...

To inspect the 110kV power transmission line, inspection robot should be able to cross jumper lines of live lines. In this paper, a novel is designed, equipped with centroid adjustment mechanism make it capable crossing line smoothly. The various obstacle modes and proper planning are designed. Also, rigid-flexible coupling dynamic modeling method in flexible cable environment studied, which helps understand influence on environment. Moreover, simulation carried out analyze deformation when...

Overhead power transmission lines are widely used to transmit electrical energy for generation plants distribution substations. Foreign objects such as kites, kite string or balloons may be accidently twisted on the lines, which lead outages if there not removed. This paper proposed a foreign object inspection system based deep learning overcome shortages poor operation efficiency, high cost and time consuming of ordinary methods. The is consisted equipment ground control station. travels...