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computer vision

GeneTech 知识引擎共收录 4238 篇相关科研实体，横跨 30 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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代表性文献（按质量分排序，前 60 条）

• MedSegAgent: A Universal and Scalable Multi-Agent System for Instructive Medical Image Segmentation.
  2026 · AI Agent 生态 · Medical image segmentation is vital for clinical diagnosis and treatment; however, current solutions face three major limitations: (1) the lack of a universal framework capable of handling diverse modalities and anatomic…
• AI-Driven Generation of Post-Contrast T1 and ECV Maps from Native T1 Map in Cardiac MRI.
  2026 · AI Agent 生态 · Background/Objectives : This study aimed to develop an artificial intelligence-based method for generating virtual post-contrast T1 maps and extracellular volume (ECV) maps from native T1 maps and to evaluate its perform…
• Efficient Super-Resolution for Resource-Constrained Precision Agriculture: A Loss Function Optimization Approach
  2026 · 智慧农业 · Abstract In smart agriculture, vision-based crop monitoring systems require high-quality imagery along with efficient computation and low power consumption to support accurate analysis and real-time decision-making in re…
• Detection of kochia [Bassia scoparia (L.) A.J. Scott] and waterhemp [Amaranthus tuberculatus (Moq.) J.D. Sauer] in sugarbeet field using hyperspectral imaging and deep learning technologies.
  2026 · 智慧农业 · Kochia [Bassia scoparia (L.) A.J. Scott] and waterhemp [Amaranthus tuberculatus (Moq.) J.D. Sauer] are among the most aggressive and competitive weed species in sugarbeet production. Their similarity to the crop during e…
• A multi-agent system based on HNC for domain-specific machine translation.
  2025 · AI Agent 生态 · Due to the lack of domain classification theory for domain-specific machine translation, the quality of translation in this area is low. We propose a domain classification system based on HNC and design a new method that…
• AI Agent Model Simulator for Cold-Start Item Recommendation
  2026 · AI Agent 生态 · Due to the lack of historical interactive data, it is a challenging task for the recommendation system to recommend cold start items. Recently, the related research is generally related to hot items to enhance the charac…
• Research-AI: An Intelligent Multi-Agent System for Deep Research Document Generation Using Large Language Models
  2026 · AI Agent 生态 · The rapid advancement of large language models (LLMs) has led to the rise of a new generation of autonomous deep research agents capable of multi-step information gathering and detailed document generation. Existing comm…
• HMA: A Hierarchical Multi-Agent System for Document Question Answering
  2026 · AI Agent 生态 · Document Question Answering (DocQA) stands as a core task within the domain of natural language processing. Nevertheless, when confronted with complex documents that incorporate multimodal information—such as text, image…
• Oncoverse: A Multi-Agent Conversational System for Breast Cancer Detection
  2026 · AI Agent 生态 · Accurate diagnosis of breast cancer is essential, along with clinical understanding to facilitate prompt decision-making. This research introduces a multi-agent dialogue diagnostic system that combines deep learning, kno…
• Enhancing sentiment analysis accuracy: strategic pre-calibration to mitigate anchoring bias
  2026 · AI Agent 生态 · Abstract In this study, we explore the concept of anchoring bias in the context of sequential sentiment analysis of review corpora. We introduce a novel approach that involves using a carefully selected, limited group of…
• A Multi-Agent System for Zero-Shot Controllable Image Captioning
  2026 · AI Agent 生态 · Controllable Image Caption requires generated descriptions to accurately depict the visual content while satisfying given constraints, such as specified sentiments and caption lengths. However, most existing methods opti…
• Advanced Precision Agriculture: Unifying CNNs & Random Forests for Robust Rice Disease Detection
  2026 · 智慧农业 · This study introduces a cutting-edge disease classification model that has been specifically created for rice crops. The model makes use of a hybrid methodology that blends Convolutional Neural Networks (CNNs) with a Ran…
• Tomato Leaf Disease Detection Using InceptionV3: A CNN-Based Approach for Precision Agriculture
  2026 · 智慧农业 · Tomatoes play a vital role in agriculture, offering significant nutritional and economic support. Nonetheless, illnesses in tomato plants affect both the quality and quantity. Timely identification of this illness is ess…
• Early-Stage Weed Detection in Sorghum Using Instance Segmentation for Precision Agriculture
  2026 · 智慧农业 · Weed infestation is a major challenge in sorghum cultivation, as it competes with crops for nutrients, water, and sunlight, leading to significant yield losses if not managed effectively. Traditional manual weed detectio…
• Real-time detection of Rumex and C. autumnale in grasslands
  2026 · 智慧农业 · Abstract Purpose This study addresses the challenge of real-time detection of the weeds Colchicum autumnale and Rumex species on grassland sites, which is an inherently difficult problem because the predominantly green w…
• Research on the scale effects of UAV flight altitude and crop single-plant mapping for precision agriculture
  2026 · 智慧农业 · Crop single-Plant mapping serves as the core data foundation for precision agriculture management. In response to the problems of remote sensing data discontinuity, difficult sample acquisition, and terrain heterogeneity…
• CitrusCultivar-BD: A Real-World Annotated Dataset of Lemon and Pomelo Cultivars
  2026 · 智慧农业 · CitrusCultivar-BD is a real-world annotated image dataset developed to support research in computer vision, artificial intelligence, machine learning, and precision agriculture. The dataset contains 1,820 images of eleve…
• CitrusCultivar-BD: A Real-World Annotated Dataset of Lemon and Pomelo Cultivars
  2026 · 智慧农业 · CitrusCultivar-BD is a real-world annotated image dataset developed to support research in computer vision, artificial intelligence, machine learning, and precision agriculture. The dataset contains 1,820 images of eleve…
• RumexDrone Image Dataset
  2026 · 智慧农业 · RumexDrone is an openly available RGB image dataset for the detection of Rumex in Swiss grasslands. The data were collected in Switzerland between 2020 and 2025 with a DJI Matrice 300 RTK carrying a Zenmuse P1 camera equ…
• Apple Disease Dataset
  2026 · 智慧农业 · This dataset contains images of Manalagi apple varieties from Indonesia. The data represent both healthy and diseased fruit. All data were collected from apple orchards owned by farmers. The dataset consists of four cate…
• Precision yield estimation and mapping in manual strawberry harvesting with instrumented picking carts and a robust data processing pipeline
  2026 · 智慧农业 · High-resolution yield maps for manually harvested crops are impractical to generate on commercial scales because yield monitors are available only for mechanical harvesters. However, precision crop management relies on a…
• Efficient plant disease detection using reinforced coati optimization algorithm (RCOA) for Precision Agriculture
  2026 · 智慧农业 · Recent advancement in Artificial Intelligence (AI) have greatly improved their application in agriculture, especially in the identification of plant leaf diseases and in facilitating enhanced decision-making. Detection o…
• Image-Based Breed Recognition for Cattle and Buffaloes of India: Advancing Precision Agriculture
  2026 · 智慧农业 · Breed determination plays a very important role in livestock admin, preservations of genetic diversity and optimization of agricultural output within India's extensive bovine sector. Convention identifies approaches reli…
• Enhancing Precision Agriculture Pest Control: A YOLOv10-Based Deep Learning Approach for Insect Detection
  2026 · 智慧农业 · ABSTRACT Precision Agriculture (PA) leverages advanced technologies to optimize resource use while preserving crop quality and yield. However, pest infestations remain a critical challenge that can undermine these benefi…
• GreenGrow AI: AI-based Smart Farming and Organic Waste Management
  2026 · 智慧农业 · The Abstract Artificial Intelligence (AI) in agriculture has offered an opportunity to have an efficient and sustainable agricultural practice. The drawbacks that farmers in the rural areas are facing are poor use of bio…
• Differentiable Inverse Graphics for Zero-Shot Scene Reconstruction and Robot Grasping
  2026 · 智慧农业 · Operating effectively in novel real-world environments requires robotic systems to estimate and interact with previously unseen objects. Current state-of-the-art models address this challenge by using large amounts of tr…
• A hybrid genetic algorithm based method for smart beef farming
  2026 · 智慧农业 · To enhance cost efficiency in the cattle industry, particularly through feed formulation optimisation, we propose a novel feed encoding method that accurately and simply expresses the proportions between different feeds.…
• PDD-AGENT: Multimodal Large Language Model-Driven AI Agent for Enhanced Plant Disease Diagnosis
  2025 · AI Agent 生态 · Multimodal large language models (MLLMs) have made remarkable progress across various domains, excelling in tasks such as question answering, segmentation, and detection. However, their performance in multitask operation…
• Coordinating monetary contributions in participatory budgeting
  2025 · AI Agent 生态 · Abstract We formalize a framework for coordinating funding and selecting projects, the costs of which are shared among agents with quasi-linear utility functions and individual budgets. Our model contains the discrete pa…
• ApexCodium: a Multi-Agent System for Code Generation with Enhanced Self-Reflection
  2025 · AI Agent 生态 · LLMs demonstrate a remarkable performance on natural language tasks, but they are relatively less accurate when it comes to code generation. This gap stems from the inherent complexity of coding, which demands precise lo…
• AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration
  2025 · AI Agent 生态 · Proper initialization is crucial for any system, particularly in multi-agent systems (MAS), where it plays a pivotal role in determining both the system's efficiency and effectiveness.However, existing MAS initialization…
• A Novel Smart Vision Hybrid Classifier for Mango Leaf Disease Precision Agriculture Revolution
  2025 · 智慧农业 · The prevention of economic loss and assurance of crop quality in agriculture heavily relies on faster, more timely, and accurate identification of leaf diseases that affect mango trees. In this study, a new method of aut…
• Enhancing seeding efficiency using a computer vision system to monitor furrow quality in real-time
  2025 · 智慧农业 · Effective seed sowing is hindered by challenges such as residue accumulation, low soil temperatures, and hair pinning (crop residue pushed in the trench by the furrow opener), which obstruct optimal trench formation. In …
• Edge-deployable segmentation and prescription mapping of post-emergence weeds in sugar beet crops for UAV-based precision spraying
  2025 · 智慧农业 · Weeds significantly challenge sugar beet cultivation by reducing yields and increasing herbicide usage. Conventional broadcast spraying inflates production costs and raises environmental concerns due to chemical overuse.…
• Advanced Leaf Disease Detection: Integrating YOLOv9 with Transfer Learning for Precision Agriculture
  2025 · 智慧农业 · Leaf diseases pose a significant challenge to agriculture, threatening crop health and yield. Effective detection and management of these diseases are critical for sustainable farming. This study introduces a novel metho…
• Drone-based weed mapping at the species level for precision weed control in maize and tomato fields
  2025 · 智慧农业 · Accurate weed identification is crucial for effective implementation of precision weed control strategies. This research evaluated several convolutional neural networks and vision transformer models aiming to map nine co…
• Adapting Vision-Language Models for Precision Agriculture: A Study on Crop Segmentation based on UAV Remote Sensing Data
  2025 · 智慧农业 · With increasing global food security challenges, agricultural remote sensing image analysis has become particularly important for improving production efficiency and resource utilization in precision agriculture. However…
• An Improved YOLOv8 Model for Detecting Four Stages of Tomato Ripening and Its Application Deployment in a Greenhouse Environment
  2025 · 智慧农业 · The ripeness of tomatoes is a critical factor influencing both their quality and yield. Currently, the accurate and efficient detection of tomato ripeness in greenhouse environments, along with the implementation of sele…
• Precision Detection of Small Brown Planthoppers in Agriculture via YOLOv8 Fine-Tuning
  2025 · 智慧农业 · The research evaluates the quality of the YOLOv8 architecture in terms of its efficiency in the fine-tuning scenario when it comes to detecting small objects, and the Brown Planthopper (BPH) in a farming setting will be …
• Estimating yields, using a combination of remote sensing and a simple crop model
  2025 · 智慧农业 · Grain yields and their variability impact agronomic management decisions, yet accurate yield maps of multiple seasons in a comparable format are often unavailable at farm level. While crop growth models could estimate si…
• Diffusion Probabilistic Models for NIR Spectral Data Augmentation in Precision Agriculture
  2025 · 智慧农业 · Near-infrared (NIR) spectroscopy is a rapid, non-destructive tool widely used in agriculture, but limited labeled spectra often constrain model robustness. To address this, we propose using denoising diffusion probabilis…
• Prediction of Plant Disease with Deep Learning Method
  2025 · 智慧农业 · With the rapid growth of the global population, the agricultural sector is under increasing pressure to enhance food production and crop health management. One of the critical challenges in this domain is the timely and …
• FFAE-UNet: An Efficient Pear Leaf Disease Segmentation Network Based on U-Shaped Architecture
  2025 · 智慧农业 · The accurate pest control of pear tree diseases is an urgent need for the realization of smart agriculture, with one of the key challenges being the precise segmentation of pear leaf diseases. However, existing methods s…
• AI-driven smart agriculture using hybrid transformer-CNN for real time disease detection in sustainable farming
  2025 · 智慧农业 · Plant diseases pose a significant threat to global food security, with severe implications for agricultural productivity. Early and accurate detection of these diseases is crucial, yet it remains a challenging task, sign…
• Computer vision in precision livestock farming: benchmarking YOLOv9, YOLOv10, YOLOv11, and YOLOv12 for individual cattle identification
  2025 · 智慧农业 · Individual animal identification is fundamental to effective livestock traceability and precision management. This study evaluates the performance of four recent object detection models (YOLOv9m, YOLOv10m, YOLOv11m, and …
• GAN-based motion blur elimination as a preprocessing step for enhanced AI-driven computer-aided camera monitoring in poultry and free-range farming in low-resource settings
  2025 · 智慧农业 · Accurately determining poultry gender ratios is essential for assessing the economic value of free-range farming, particularly in resource-limited settings. Traditional and manual methods for gender identification are of…
• Optimizing EfficientNetv2 Model with RandAugment Data Augmentation for Detecting Wheat Diseases in Smart Farming
  2025 · 智慧农业 · Wheat diseases threaten global food security, necessitating improved detection methods. In this paper, we integrate EfficientNetv2 model and RandAugment data augmentation to accurately and efficiently identify wheat dise…
• Swift Transfer of Lactating Piglet Detection Model Using Semi-Automatic Annotation Under an Unfamiliar Pig Farming Environment
  2025 · 智慧农业 · Manual annotation of piglet imagery across varied farming environments is labor-intensive. To address this, we propose a semi-automatic approach within an active learning framework that integrates a pre-annotation model …
• Multi-DoF Continuous Estimation for Wrist Torques Using Convolutional Neural Network
  2025 · 智慧农业 · Using surface electromyography (sEMG) signals for simultaneous and proportional control (SPC) is appealing for natural control in human-machine interaction (HMI). Introducing spatial information across sEMG channels in t…
• Monte Carlo Synthetic Data Generation for Durian Cultivation Based on Smart Farming IoT
  2025 · 智慧农业 · Data scarcity is a common challenge in the application of Artificial Intelligence of Things (AIoT) for smart agriculture, especially for high-value crops such as Durian (Durio zibethinus), which experience limitations in…
• AssistGPT: Towards Multi-modal Agent for Human-Centric AI Assistant
  2024 · AI Agent 生态 · Recent advancements in Multi-modal Large Language Models have significantly enhanced the capabilities of AI assistants, enabling users to perform question-answering based on the content of images or videos. However, addr…
• Encoding Agent Trajectories as Representations with Sequence Transformers
  2024 · AI Agent 生态 · Spatiotemporal data faces many analogous challenges to natural language text including the ordering of locations (words) in a sequence, long range dependencies between locations, and locations having multiple meanings. I…
• Estimation of corn crop damage caused by wildlife in UAV images
  2024 · 智慧农业 · Abstract Purpose This paper proposes a low-cost and low-effort solution for determining the area of corn crops damaged by the wildlife facility utilising field images collected by an unmanned aerial vehicle (UAV). The pr…
• Predicting on-farm soybean yield variability using texture measures on Sentinel-2 image
  2024 · 智慧农业 · Yield forecasting and within-field yield variation is essential information that helps farmers develop sustainable agriculture. However, such information still needs to be included for most of them, and remote sensing is…
• Enhanced Detection of Brinjal Diseases using YOLOv8: A High-Accuracy Real-Time Model for Precision Agriculture
  2024 · 智慧农业 · The rapid and accurate identification of diseases in brinjal (eggplant) crops is essential for ensuring high agricultural productivity and reducing losses. Traditional methods of disease detection are often time-consumin…
• Enhancing visual autonomous navigation in row-based crops with effective synthetic data generation
  2024 · 智慧农业 · Abstract Introduction Service robotics is recently enhancing precision agriculture enabling many automated processes based on efficient autonomous navigation solutions. However, data generation and in-field validation ca…
• Biomass characterization with semantic segmentation models and point cloud analysis for precision viticulture
  2024 · 智慧农业 · The scientific progress in artificial intelligence and robotics has enabled precision viticulture to pursue sustainability and improve the final yield. For instance, monitoring the canopy volume of each plant can allow t…
• Deep Learning Based Tomato Leaf Disease Detection for Smart Farming
  2024 · 智慧农业 · Tomato cultivation has a major role in global agriculture, contributing to both food security and economic stability. Still, tomato plants are susceptive to various diseases, which can specially reduce yield and quality.…
• INTELLIGENT AGENTS AND DEEP LEARNING ALGORITHM BASED SEMANTIC SEGMENTATION FOR PRECISION AGRICULTURE ON SMART FARMING SOLUTIONS
  2024 · 智慧农业 · Background: The precision agriculture sector benefits greatly from advanced semantic segmentation techniques for land cover mapping and crop monitoring. Traditional methods often struggle with accuracy and efficiency due…
• Learning‐based monocular visual‐inertial odometry with SE2(3) $S{E}_{2}(3)$‐EKF
  2024 · 智慧农业 · Abstract Learning‐based visual odometry (VO) becomes popular as it achieves a remarkable performance without manually crafted image processing and burdensome calibration. Meanwhile, the inertial navigation can provide a …

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