Zhiwei Zeng

YOLO-TDC: A lightweight network for tea bud detection and counting of the large-leaf black tea in UAV imagery

Jinpeng Yang, Shuqi Tang, Xinyu Jiang, Yuhao Zhou et autres

In situ CT imaging and discrete element modeling of seedling emergence mechanics

Hao Gong, Zhiwei Zeng, Long Qi, Jiajun Zhong et autres

cn, us (code pays fourni par la source)

Effects of Mechanical Weed Control on Soil Bacterial Communities in Paddy Fields: A One-Year Study

Chuang Liu, Shuanglong Wu, Zongyuan Wen, Zhenyu Tang et autres

Mechanical weed-control methods using autonomous weeding machines provide an option for farmers to reduce the use of herbicides while efficiently dealing with weed issues. However, there is limited knowledge regarding the effects of advanced mechanical weed control technology on soil bacterial communities …

cn, us (code pays fourni par la source)

Optimization of Liquid Manure Injector Designs for Cover Crop Systems Using Discrete Element Modeling and Soil Bin Evaluation

Adewale SEDARA, Zhiwei Zeng, Matthew F. Digman, Aaron J. Timm

This study integrates Discrete Element Method (DEM) simulations, soil bin experiments, and multi-objective optimization to develop an energy-efficient manure injector shank. Eighteen geometries were first screened using DEM, reducing the set to six designs (S_1–S_6) based on draft force–rupture area performance. The …

us (code pays fourni par la source)

Experimental study of real-time sensing and map-based site-specific application for N, P and K

P. P. Pawase, S. M. Nalawade, Avdhoot Walunj, Pravin Bhaskar Kadam et autres

in, us (code pays fourni par la source)

Effects of mouldboard shape and operational parameters on soil-ridger dynamics: An experimental and discrete element modelling approach

Avdhoot Walunj, S. M. Nalawade, P. P. Pawase, Zhiwei Zeng

This study provides an in-depth investigation of soil-ridger interactions through both experimental analysis and discrete element method (DEM) simulations. The research examines how variations in ridger mouldboard shapes (flat, concave, and convex), operating depths (100, 140, and 180 mm), and speeds (2, …

in, us (code pays fourni par la source)

Active Support Control Strategy for Virtual Flux in Offshore Wind Power Flexible Direct-Current Transmission

Chao Pan, Jinbin Zhao, Zhiwei Zeng, Yuanjun Hou et autres

The integration of large-scale offshore wind power into the grid poses challenges to the frequency and voltage stability of the receiving end of the power system. The limitations of relying solely on active support strategies from onshore converter stations are received significant …

cn (code pays fourni par la source)

Multi-Lasso Peptide-Based Synergistic Nanocomposite: A High-Stability, Broad-Spectrum Antimicrobial Agent with Potential for Combined Antibacterial Therapy

Wai Haung Yu, Jinyu Zhang, Ke Wei, Di Zhou et autres

Lasso peptides, natural biological microcins composed of small molecules, have demonstrated efficient bactericidal activity. However, a single lasso peptide is characterized by a narrow and targeted bactericidal spectrum. In this study, a chitosan (CN) derivative-based polymer nanomaterial incorporating three lasso peptides (MccY, …

cn (code pays fourni par la source)

Optimizing soil resistance and disturbance of bionic furrow opener for paddy field based on badger claw using the CFD-DEM method

Zhenyu Tang, Zhiwei Zeng, Shuanglong Wu, Dengbin Fu et autres

cn, ca, us (code pays fourni par la source)

Cluster-Based Genetic Algorithm Path Planning for Cooperative UGV and UAV Operations in Energy-efficient Wireless Sensor Networks

Yuan Xing, Abhishek Verma, Zhiwei Zeng, Cheng Liu et autres

This paper introduces a novel algorithm for efficient path planning of Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehicles (UAVs) to monitor and serve IoT sensors deployed in agricultural fields. The proposed method uses clustering and Genetic Algorithm (GA) to solve the …

us (code pays fourni par la source)

Optimizing Sleep Schedules for Energy-Efficient Agricultural Wireless Sensor Networks Using Deep Reinforcement Learning

Yuan Xing, Zhiwei Zeng, Yi Liu, Abhishek Verma et autres

In recent years, energy-efficient wireless sensor networks (WSNs) have gained significant attention, particularly in agriculture, where activating numerous sensors across a farm can be highly energy-intensive. Energy-efficient WSNs ensure normal operations while extending their lifetime through either energy-harvesting hardware units or optimized …

us (code pays fourni par la source)

Optimizing Grass Selection for Beef Cattle Using Multi-Armed Bandit Algorithms: A Data-Driven Approach to Enhance Growth Through Rumination Analysis

Yuan Xing, Zhiwei Zeng, Abhishek Verma, Cheng Liu et autres

This paper explores the application of the Multi-Armed Bandit (MAB) approach to optimize the selection of grass types for cattle to enhance their growth. Utilizing data from a cow monitoring system, CowManagement, specifically rumination, which is a strong indicator of nutrient absorption, …

us (code pays fourni par la source)