An empirical performance comparison of deep learning models for apple leaf disease recognition
用UNet++分割苹果病叶并融合多种CNN与ViT分类，实现98.85%识别准确率。
数字农业与前沿技术
浏览数字农业与前沿技术相关政策、产业动态与研究。
技术筛选 · 已选 1 项
534 篇内容清除全部筛选
International Journal of Electronics and Communication Engineering·10月10日 · 周六63 分 论文农业AI与大模型智慧农业 / 农业物联网阅读 1
Image Processing-Based Efficient Hybrid Feature Extraction Approach for Plant Leaf Disease Recognition
提出融合CNN深度特征与手工特征的方法，用于植物叶片病害识别。
Hybrid CNN-LSTM Techniques for Plant Leaf Disease Detection and Farmer-Based Agricultural Practice Analysis in Western Tamil Nadu
结合CNN-LSTM混合模型检测植物叶片病害，并调查印度泰米尔纳德邦农户的农业实践与技术采纳情况。
AgroNLP-SimAssist: a multilingual transformer-based decision support simulator for crop disease diagnosis, advisory generation, and market intelligence
提出多语言Transformer农业决策支持模拟器，统一实现作物病害诊断、农技建议与市场情报。
MangoVQA: A Multi-Answer Visual Question Answering System for Grading SNI-Aligned Mango Quality using Deep Learning and Text Processing
提出首个多答案芒果质量分级VQA框架MangoVQA，对齐印尼SNI标准。
SAMWater: a prompt-guided multimodal framework for transferable water mapping with the segment anything model
提出SAMWater，用提示引导多模态基础模型实现可迁移地表水制图。
Deep learning–based computer vision for rapid and accurate quantitative field assessment of powdery mildew severity: model comparison, validation, and agreement with human raters
开发并验证基于深度学习的计算机视觉流程，用手机图像快速定量评估豌豆白粉病严重度。
International Journal of Mechanical Engineering Research and Technology·10月8日 · 周四47 分 论文物联网传感与边缘计算智慧农业 / 农业物联网2 个信源同时报道 阅读 1
AI-BASED ENERGY EFFICIENT COMMUNICATION IN IOT SYSTEM
综述AI自适应发射功率控制提升IoT通信能效，面向智慧农业等场景。
International Journal of Mechanical Engineering Research and Technology·10月8日 · 周四53 分 论文物联网传感与边缘计算智慧农业 / 农业物联网2 个信源同时报道 阅读 1
A COMPREHENSIVE REVIEW ON IOT AND EDGE AI-BASED PRECISION AGRICULTURE SYSTEM FOR WATER OPTIMIZATION
综述基于物联网与边缘AI的精准农业系统，实现实时灌溉优化与节水。
International Journal of Mechanical Engineering Research and Technology·10月8日 · 周四61 分 论文肥料与水肥一体化智慧农业 / 农业物联网阅读 0
SMART FERTILIZER DISTRIBUTION SYSTEM: A COMPREHENSIVE REVIEW
综述智能施肥系统的技术、控制与通信方法，并指出研究空白与未来方向。
Sensor Data Transmission in Smart Agriculture: Challenges, Potentials, and Limitations in the Fourth Industrial Revolution
综述智慧农业传感器数据传输挑战，归纳十大开放问题并提出分层架构设计蓝图。
IoT-Based Automatic Cotton Leaf Disease Detection, Infection Percentage Estimation, and Treatment Recommendation Using Raspberry PI
基于树莓派与物联网，实现棉花叶病自动检测、感染率估算与防治推荐。
Platform for Smart Agriculture -Research and Technological Innovation PlaSmA Research Group (PRG) Platform for Smart Agriculture -Research and Technological Innovation
Platform for Smart Agriculture -Research and Technological Innovation PlaSmA Research Group (PRG) Platform for Smart Agriculture -Research and Technological Innovation。OpenAlex
Energy-Efficient Smart Agriculture Management Framework Using IoT and Ensemble Machine Learning for Intelligent Crop Health Monitoring and Resource Optimization
用IoT传感器数据与集成机器学习实现作物健康分类与资源优化。
Agriculture and Farmer Digital Assistant: An AI-Based Digital Decision Support Platform for Smart Farming
开发了基于AI的农业数字决策支持平台AFDA，为农民提供作物推荐和农事指导。
Artificial Intelligence, Foundation Models, and Digital Twins for Climate-Resilient Agriculture: A Review
综述AI、基础模型与数字孪生如何支撑气候韧性农业，并指出关键挑战与未来方向。
[预印本]面向自主熟果采摘的智能语音引导UAV系统:基于视觉分类与自适应路径规划(IVG-UAV: An Intelligent Voice-Guided UAV System for Autonomous Ripe Fruit Harvesting with Vision-Based Classification and Adaptive Path Planning)
提出IVG-UAV系统，用语音、视觉与路径规划实现仿真中自主采摘熟果。
[预印本]植物病害数据集的数据中心综述:分类、关键分析、环境变异性与精准农业启示(A Data-Centric Review of Plant Disease Datasets: Taxonomy, Critical Analysis, Environmental Variability, and Implications for Precision Agriculture)
综述植物病害数据集分类与不平衡问题，提出融合环境参数的方向。
智慧农业的区域经济效益感知:AI采纳的动态能力与领导力视角(Perceived Regional Economic Benefits of Smart Agriculture: A Dynamic Capability and Leadership Perspective on AI Adoption)
基于452份中国涉农组织调查，检验AI采纳与变革型领导力如何通过智慧农业提升区域经济效益。
Reducing redundancy in multi-temporal analysis to improve field-scale detection of crop residue burning
用多时相遥感与模糊机器学习减少重复检测，提升稻田秸秆焚烧田块尺度制图精度。