Zenodo (CERN European Organization for Nuclear Research)·9月17日 · 周四77 分 论文物联网传感与边缘计算智慧农业 / 农业物联网3 个信源同时报道 阅读 2
AI-ENABLED WIRELESS POWER TRANSFER ARCHITECTURES FOR SUSTAINABLE IoT ECOSYSTEMS
提出AI驱动的无线供电三层架构，优化大规模IoT设备能量传输与分配。
物联网传感与边缘计算
农业传感器、物联网组网与边缘计算
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Digital-enabled life cycle thinking for sustainable food systems: aligning with sustainable development goals
提出融合AI、区块链、物联网与遥感的数字生命周期思维框架，用于食品系统可持续性评估。
Zenodo (CERN European Organization for Nuclear Research)·9月16日 · 周三77 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
IoT-Enabled Sensor Applications in Smart Healthcare, Smart Agriculture, Environmental Monitoring and Smart Energy & Safety Monitoring
综述物联网传感与智能在医疗、农业、环境、能源安全四大领域的架构、算法与应用。
IoT-RiceMobileNet: An improved lightweight MobileNetV2 Model for real-time multi-class rice disease detection using IoT
提出轻量级IoT-RiceMobileNet模型，实现水稻病害实时多类检测。
Multi-omics and artificial intelligence for climate-resilient and nutrient-enriched food crops: advances, applications and future perspectives
综述AI赋能多组学、基因编辑与精准农业，培育气候韧性与营养强化作物。
Artificial Intelligence-Based Crop Recommendation Using Soil and Climate Data: A Comprehensive Review of Machine Learning, Deep Learning, and Smart Agriculture Approaches
综述AI作物推荐研究，指出高准确率多源于数据与验证缺陷。
Zenodo (CERN European Organization for Nuclear Research)·9月12日 · 周六85 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 2
MridAI: Autonomous Edge-to-Conversational IoT for Democratising Precision Agriculture via Neuro-Symbolic Telemetry
提出低成本自主地下物联网节点与神经符号AI咨询管道，让小农户用WhatsApp获取精准农业建议。
AgriSphere: A Smart Agriculture Framework Integrating IoT and Artificial Intelligence for Adaptive Crop Selection
提出IoT与AI融合框架，结合实时土壤数据与天气预报推荐适宜作物。
Communication-efficient Federated Transfer Learning for real-time intrusion detection in agricultural IoT systems
提出联邦迁移学习入侵检测方法，将流量转灰度图复用轻量视觉模型，实现农业物联网实时检测。
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。
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。
International Journal for Research in Applied Science and Engineering Technology·9月10日 · 周四75 分 论文水资源与灌溉智慧农业 / 农业物联网阅读 5
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。
IoT-Enhanced forecasting and early warning system for whitefly incidence in greenhouses
构建物联网增强的温室白粉虱发生预测预警系统。
Optimized Inception-v4 CNN Combined with YOLOv8 andXGBoost for Tomato Plant Disease Recognition and Classification
提出YOLOv8+Inception-v4+XGBoost混合模型，实现番茄叶片病害精准检测与分类。
Deep learning technique for rice leaf disease classification and severity level identification via Hybrid ResConvolutional Neural Network
提出混合Res卷积神经网络用于水稻叶部病害分类与严重度识别，结合物联网数据采集。
AN ADAPTIVE FEDERATED DEEP LEARNING FRAMEWORK FOR SECURE AND PRIVACY PRESERVING PRECISION AGRICULTURE IN DISTRIBUTED IOT NETWORKS | Kashf Journal of Multidisciplinary Research
AN ADAPTIVE FEDERATED DEEP LEARNING FRAMEWORK FOR SECURE AND PRIVACY PRESERVING PRECISION AGRICULTURE IN DISTRIBUTED IOT NETWORKS | Kashf Journal of Multidisciplinary Research。OpenAlex
International Journal of Artificial Intelligence and Machine Learning 2026, 6(9s): 1668-1689·9月5日 · 周六77 分 论文物联网传感与边缘计算农业人工智能与决策模型阅读 3
IoT-Enabled Evidence-Fusing Graph Neural Network With Attention-Based Feature Engineering For Uncertainty-Aware Crop Recommendation（IJAIML Vol.6 No.9s 1668-1689）
提出IoT-AM-EFGNN框架，结合IoT传感与图神经网络实现高精度作物推荐。
Integrating Artificial Intelligence and IoT for Precision Farming: A Review of Agriculture 4.0 Technologies, Applications, and Challenges
综述AI与IoT在精准农业中的集成技术、应用与挑战，提出未来研究方向。
Bridging challenges with technology: A scientometric and systematic study on sustainability in smart agriculture
通过科学计量和系统综述，评估智能农业中技术整合的研究格局与优势。
International Journal of Creative and Open Research in Engineering and Management·9月3日 · 周四56 分 论文物联网传感与边缘计算智慧农业 / 农业物联网阅读 2
Autonomous Multi-Crop Weeding and Nutrient Management
提出一种集成AI、IoT和嵌入式系统的自主多作物除草与养分管理机器，实现精准农业。