AI-Powered Crop Protection: Transforming Pest Surveillance and Decision-Making Through Digital Agriculture
综述AI与数字农业在害虫监测、预测及决策支持中的应用与挑战。
农业AI与大模型
人工智能算法、大模型与决策支持系统
技术筛选
564 篇内容清除全部筛选
An ensemble deep learning approach for soil pH classification leveraging GLCM-based texture features and neural networks
提出融合GLCM纹理特征与CNN的集成深度学习框架，实现土壤pH等级图像分类。
An Adaptive AI-DSS Framework for Real-Time Image Analysis and Decision-Making in Precision Agriculture
提出自适应AI决策支持系统，用轻量网络与特征优化实现精准农业实时图像分析与决策。
Trustworthy AutoML indicators for climate-smart agriculture: A sustainability-governance framework for decision support
提出面向气候智慧型农业的可信AutoML指标体系与可持续治理框架，用于决策支持。
Smart crop recommendation: fusing nutrient and climate data with Krill Herd Optimization and explainable AI
提出融合养分与气候数据、KHO优化和可解释AI的作物推荐框架，Tab Transformer精度达0
Decision support in recirculating aquaculture systems (RAS): A case study of a human–AI interface in prawn hatchery operation
用大语言模型辅助人类专家，解决罗氏沼虾RAS育苗中幼体高死亡率问题。
Two Decades of Computer Vision in Precision Livestock Farming: an Umbrella Review of Applications, Benchmarking Evidence, and the Performance-to-Deployment Gap Across Cattle, Pig, and Poultry Systems
伞式综述112篇综述，梳理牛猪禽精准养殖计算机视觉应用与部署差距。
Mitigating artificial intelligence-related animal welfare risks in animal farming
探讨如何缓解动物养殖中人工智能应用带来的动物福利风险。
KRISHI.AI: an explainable machine learning framework for data-driven crop recommendation
提出可解释AI框架KRISHI.AI，基于土壤和气候数据推荐作物，并解释推荐原因。
Evaluating the thermal impacts of urban corridor redevelopment and greening interventions in Addis Ababa using multi-temporal satellite data and machine learning
评估亚的斯亚贝巴走廊改造与绿化对地表温度的影响，发现建成区扩张导致升温5.06°C，绿化无法抵消。
Identifying the influencing factors of lake surface greenhouse gas concentrations using sentinel-2 remote sensing and machine learning: A case study of bird Island, Qinghai Lake
利用Sentinel-2遥感与机器学习识别青海湖鸟岛湖面温室气体浓度的影响因素。
An Interpretable BO-TCBDA Deep Learning Framework for Winter Wheat Yield Estimation Using Multi-Source Remote Sensing Data
提出BO-TCBDA深度学习框架，融合多源遥感数据估算冬小麦产量，兼具高精度与可解释性。
Hydrochemistry and modeling nitrate concentration in farmland groundwater under different hydrological seasons by integrating hybrid quantum-classical ML, virtual sample generation and AlphaEarth Foundation
提出集成混合量子-经典机器学习、虚拟样本生成和遥感基础模型的框架，预测雄安农田地下水硝酸盐浓度。
Green Artificial Intelligence Framework for EnergyEfficient Smart Agriculture in Tropical Environments
提出绿色AI框架，提升热带智慧农业能效与资源利用。
Advances in artificial intelligence and geomatics technology for the transformation of global agri-food systems: A review
综述AI与地理空间技术在全球农业食品系统转型中的应用，分析2004-2025年文献，识别可持续农业实
Real-time hass avocado ripeness detection using close-range UAV imagery and YOLO-based deep learning
用无人机近景图像和YOLO深度学习实时检测哈斯鳄梨成熟度，实现精准农业应用。
Knowledge-guided deep learning improves estimation of rice aboveground biomass
提出知识引导的深度学习模型，提高水稻地上生物量估算精度。
农业大模型在田间地头的落地实践：伏羲大脑"佳家农"智慧农服平台案例研究
介绍伏羲大脑农业大模型在佳木斯农高区的落地实践，通过手机和卫星数据提供农事指导，服务超5.6万农户。
Intelligent Prediction of Spray Distribution and Hydraulic Behavior in an Automatic Spraying Machine for Precision Agriculture
用机器学习预测自动喷雾机的流量、喷幅、角度和重叠，实现精准农业。
APPLICATION OF ARTIFICIAL INTELLIGENCE IN SOIL FERTILITY ASSESSMENT AND CROP YIELD PREDICTION IN SOUTHWEST NIGERIA: A STATISTICAL APPROACH
研究AI在尼日利亚西南部土壤肥力评估和作物产量预测中的应用，发现随机森林模型表现最佳。