- Smart Agriculture and AI
- Agricultural Engineering and Mechanization
- Spectroscopy and Chemometric Analyses
- Transport Systems and Technology
- Fuzzy Logic and Control Systems
- Industrial Vision Systems and Defect Detection
- Neural Networks and Applications
- Wireless Sensor Networks for Data Analysis
- Astro and Planetary Science
- Vehicle Dynamics and Control Systems
- IoT and GPS-based Vehicle Safety Systems
- GNSS positioning and interference
- Wireless Sensor Networks and IoT
- Remote Sensing and LiDAR Applications
- Plant Disease Management Techniques
- Remote Sensing in Agriculture
- Image Processing Techniques and Applications
- Advanced Algorithms and Applications
- Thermal Analysis in Power Transmission
- Agriculture and Farm Safety
- Energy Load and Power Forecasting
- Vehicle License Plate Recognition
- Plant Surface Properties and Treatments
- Safety and Risk Management
- Embedded Systems and FPGA Design
China National Nuclear Corporation
2025
China Agricultural University
2018-2024
Institute of Physics
2024
With the burgeoning integration of robot technology into nuclear industry, standardization robots has emerged as a pivotal issue. The is critical for ensuring safety, efficiency, and sustainable development energy. This paper presents systematic analysis classification, functionality, evolutionary landscape globally. An in-depth discourse on specific demand within sector provided, elucidating structural framework standard system levels standards. Furthermore, puts forward implementation...
The impact of meteorological conditions and human factors on field spraying test UAV was likely to cause problems such as chemical drift in the wind uncontrollable droplet deposition areas. Thus research droplets distribution by carried out tunnel, which speed controllable adjustable. influence mechanism parameters airflow parameters, properties, relative positions nozzle-target discussed. results showed speed, flying height diameter were most significant factors, rotor a factor, nozzle...
As a fruit with high economic value, strawberry has short ripeness period, and harvesting at an incorrect time will seriously affect the quality of strawberries, thereby reducing benefits. Therefore, timing its is very demanding. A fine recognition can provide more accurate crop information, guide harvest management timely effectively. This study proposes method for field that combines deep learning image processing. The divided into three stages: In first stage, self-calibrated convolutions...
The accurate recognition of maize growth stages is crucial for effective farmland management strategies. In order to overcome the difficulty quickly obtaining precise information about stage in complex scenarios, this study proposes a Maize Hybrid Vision Transformer (MaizeHT) that combines convolutional algorithmic structure with self-attention recognition. MaizeHT model utilizes ResNet34 neural network extract image features self-attention, which are then transformed into sequence vectors...
Picking robot is the inevitable trend of development orchard harvester technology in future. However, automatic apple picking difficult to achieve because uncertainty distribution, inconsistent maturity, and uneven quality other issues. It hard locate position apples accurately. Therefore, after summarizing advantages disadvantages harvesting at laboratory abroad, a device was designed. The based on purpose distinguishing maturity consists shell, cutting device, power device. can efficient...
At present, loss rate and grain damage are the most complicated problems for combine harvester. Besides, existing controllers that control threshing quality do not take into account environmental noise, data fluctuations, other detection factors. In this paper, considering interference of uncertain factors, a strategy with low crashed reduced using type-2 Fuzzy Logic Controller (FLC) is proposed. This takes separation component as research object adopts combination theory experimental...
Aiming at the lack of agriculture informatization standard in Chinese agricultural wireless monitoring, variability monitoring terminal, and weak compatibility system data structure, this paper proposes an intelligent gateway for heterogeneous networks remote use. First all, uniform communication protocol, sensor terminal information protocol are set up. Secondly, between server database is developed based on XML VB6.0. Thirdly, different terminals processed stored by using protocol....
The broken rate and impurity of wheat are important indicators for assessing the quality combine harvester operations. In view overlapping, occlusion dense adhesion between scattered grains during operation harvester, it is difficult to obtain grain crushing characteristics quality, which leads low detection accuracy. this paper, a method detecting based on DeepLab-EDA semantic segmentation model was proposed, system built. system, an image acquisition device designed developed principle...
Steering control is vital for hillside tractors, and four-wheel-steering technology significantly enhances stability flexibility. However, existing methods often overlook the slope–stability relationship. In order to address this issue, considering impact of tractor wheels on steering characteristics, a nonlinear three-degree-of-freedom dynamic model based basic requirements within 15° range slope angles was derived. Subsequently, four-wheel strategy tractors designed model, incorporating...
Based on the working environment and characteristics of EBAPS cameras, a theoretical analysis is conducted relationship between camera exposure time, bias voltage, image brightness information. An adaptive control method based histogram feature function proposed implemented in camera. Firstly, multi-point metering used to extract regions interest, variable time adjustment steps voltage are designed reduce system calculation while improving convergence speed stability adjustment. The...
An active recognition and adaptive control (ARAC) system for a polymer extrusion production line is proposed. The objective of the ARAC to emulate not only experience human expert, but also strategies or thinking expert in monitoring controlling real-time operating systems. consists two interactive models, namely, pattern analysis control, both using fuzzy logic technology. probe model used interact with actively recognize its state mode. In multilayer rule architecture model, upper-layer...
The positional deviation of the Automatic Emergency Call System (AECS) under collision conditions brings difficulties for post-rescue operations. Currently, there is a lack analysis on system operating during collisions in reliability assessment methods Global Navigation Satellite (GNSS) deployed AECS. Therefore, this paper establishes an in-vehicle environment simulation model emergency calls to explore influence parameters such as temperature and vibration data simulated GNSS system. We...
In the process of continuous high-strength operation harvester, structure aging, surface hardening, brittle fracture, and other features appear on V-belt due to temperature rise, which seriously affects service life belt stability whole machine. To predict distribution improve its life, an advanced calculation method field suitable for multiwheel is proposed. First, basis analysing heat source transmission belt, values internal friction external are calculated based AVL Excite Timing Drive...
In this study, the Bayesian network was used to optimize harvesting strategy of combine harvester for low loss rate. The range analysis and variance orthogonal field experiments showed that feed rate, concave clearance threshing drum speed were main factors affecting Taken rate as nodes, optimal structure obtained through scoring search, in which four functions respectively combined with hill-climbing method. An optimized inferred constructed network, implemented experiment. results average...
The positional deviation of the in-vehicle Automatic Emergency Call System (AECS) under collision conditions brings difficulties for Intelligent Connected Vehicles (ICVs) post rescue operations. Currently, there is a lack analysis on system operating during collisions in reliability assessment methods Global Navigation Satellite (GNSS) deployed AECS. Therefore, this paper establishes an environment simulation model emergency calls to explore influence parameters such as temperature and...
Cooling water temperature of the combine harvester during operations can reflect changes its power consumption and even overloads caused by extreme workload. There is an existing problem when extracting information from harvesters: data redundancy loss time series feature. To solve such problem, a Convolutional denoising autoencoder Long-Short Term Memory Artificial Neural Network (CDAE-LSTM) hybrid model based on parameter migration proposed to predict trends. Firstly, historical are taken...