AI Fundamentals – Unit II: Applications of Artificial Intelligence
这是一份面向本科生的AI基础开放教育资源，介绍AI在医疗、金融、零售、农业等六大领域的应用。
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关键词 · 相关资讯与研究
#农业AI
沿着“农业AI”继续探索，共 1,187 条内容。
A Robust and Efficient Scheme for Real-Time SAR Speckle Noise Reduction based on Attentional Self-Supervised Contrastive Deep Learning
提出RAST-Net，用注意力自监督对比深度学习实现SAR图像实时去斑。
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Optical Remote Sensing and Machine Learning Enable Scalable Carbon Mapping in Himalayan Forests Despite Spectral Saturation Challenges
用Sentinel-2与随机森林估算不丹喜马拉雅森林生物量，实现可扩展碳制图。
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GeoWombat: Scalable geospatial and remote sensing analysis in Python
发布开源Python库GeoWombat，实现大规模地理空间栅格数据与遥感分析的一站式处理。
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From soil loss to sediment delivery: GeoAI-enhanced RUSLE modeling of erosion and sediment dynamics in a hyper-arid watershed
用GeoAI增强RUSLE与SDR模型，评估沙特超干旱流域土壤侵蚀与泥沙输移空间格局。
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Crop Simulation Model: A Digital Tool for Sustainable Water Management in Agriculture
综述作物模拟模型在估算作物需水与灌溉管理中的应用及改进方向。
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Multi-grained image-text retrieval in farmland remote sensing via multimodal large language models
提出农田遥感图文跨模态检索任务，构建数据集并提出FarmMGR框架实现语言驱动检索。
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A Hybrid Transfer Learning Framework for Seasonal Classification of Satellite Images
提出混合迁移学习框架，用预训练模型提取特征并结合机器学习分类器实现卫星图像季节分类。
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An Optimized Temporal Attention-based Deep Learning Framwork for Accurate Crop Yield Prediction from Multi-source Agricultural Data
提出TA-ABC-Bi-LSTM模型，用多源农业数据精准预测水稻产量。
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EfficientNet-CBAM-prototype: an attention-guided EfficientNet framework with dynamic prototype representation for tomato disease classification
提出ECP-Net，用注意力与动态原型提升番茄病害分类精度与可解释性。
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Ambient RF energy harvesting using voltage doubler rectifier for battery-free agricultural sensor networks: Design, statistical analysis, and machine learning validation
设计多频段环境RF能量收集系统，为无电池农业传感器网络供电并验证。
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Design and Deployment of Multi-Class Image Classification Model on ESP32 Using a Lightweight CNN Approach
在ESP32微控制器上训练并部署轻量CNN多类图像分类模型，实现无云端的嵌入式视觉。
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STEM Education and AI Applications in Chemistry Teaching: From Pedagogical Ecosystems to the Self-Efficacy of Secondary School Teachers
构建化学STEM教学框架，以“化肥与智慧农业”案例融合AI与物联网，提升教师自我效能。
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An adaptive deep learning framework for multi-temporal crop and drought stress monitoring in precision agriculture
提出CNN+ViT混合深度学习框架，利用多时相Sentinel-2影像监测作物分类与干旱胁迫。
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AI-Driven Autonomous Decision Intelligence for Smart Food Manufacturing Cyber-Physical Systems
综述AI驱动的自主决策智能在智能食品制造信息物理系统中的应用与挑战。
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AI in energy and water conservation
提出卡塔尔国家AI水智能平台NAWIP，整合多源数据实现水预测、优化与协调。
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AIOT in Predictive Agriculture - IoT and AI Integration for Real-Time Soil Monitoring and Smart Irrigation in Predictive Agriculture
提出AIoT框架，用LSTM预测土壤湿度实现智能灌溉，节水并延长节点续航。
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Multi-frequency bioelectrical impedance and machine learning for non-invasive detection of Caseous Lymphadenitis in goats: a one health precision surveillance approach
用多频生物电阻抗结合机器学习，无创筛查山羊干酪性淋巴结炎。
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Cysteine quantification in pea cultivars from SERS spectra using AI
用SERS光谱结合AI预测豌豆品种半胱氨酸含量，1D-CNN表现最佳。
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Wild rice kernel inspection using a prompt-guided vision language model with evidence-grounded reasoning
用提示引导的视觉语言模型对野生稻米粒进行检测，并给出基于证据的推理。
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