Real-Time Detection and Yield Estimation of Rosa damascena Using YOLOv10-N: A Case Study in the Dades Oasis, Drâa-Tafilalet, Southeastern Morocco
用YOLOv10-N实时检测大马士革玫瑰并基于花数估算产量。
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。
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Designing a framework for Sustainable Smart Agriculture with Mobile Robots and CNN
提出移动机器人结合CNN识别花卉的智能园艺框架，测试准确率达95%。
A Hybrid Model for Crop Yield Prediction Using Recurrent Neural Networks and Explainable Artificial Intelligence
用LSTM结合可解释AI预测肯尼亚玉米产量，兼顾精度与透明度。
Zenodo (CERN European Organization for Nuclear Research)·9月26日 · 周六62 分 论文农业AI与大模型数字乡村与农业信息化2 个信源同时报道 阅读 3
Artificial Intelligence Literacy as a Predictor of Readiness for Digital Agriculture among Agricultural Education Students in Colleges of Education in South-East Nigeria
研究尼日利亚东南部教育学院农教学生的人工智能素养对数字农业准备度的预测作用。
Beyond Precision Agriculture: AI and Data-driven Information Systems as Catalysts for Sustainable Agribusiness Transformation
综述指出农业数字化瓶颈已从技术转向数据治理与系统集成，呼吁研究重心转向互操作与组织设计。
IIARD INTERNATIONAL JOURNAL OF GEOGRAPHY AND ENVIRONMENTAL MANAGEMENT·9月25日 · 周五63 分 论文遥感与农情监测智慧农业 / 农业物联网阅读 8
Multi-Target Remote Sensing Segmentation with Cross-Scale Attention for Urban-Ecological Intelligence
评估UNet、SegNet和TransU-Net在多目标遥感语义分割中的性能，用于城市与生态监测。
Integrated Machine Learning for Agriculture, Environment and Health-Adjacent Systems: Solar Cell Screening, Reservoir Monitoring and IoT-Driven Advisory Across Interdisciplinary Contexts
用共享边缘推理架构整合机器学习，实现太阳能电池筛选、水库监测与IoT农业咨询。
RPL-AER: An LSTM-Enhanced Energy-Aware and Secure Routing Protocol for Sustainable Agricultural IoT
提出LSTM增强的RPL路由协议RPL-AER，用于农业物联网节能安全路由。
AI-Assisted Demand Forecasting and Production Scheduling for High-Volume Food Manufacturing in Saudi Arabia: A Food Security Framework for Vision 2030
综述2020-2025年AI需求预测与生产调度研究，提出沙特食品制造整合框架以保障Vision 20
Zenodo (CERN European Organization for Nuclear Research)·9月26日 · 周六66 分 论文智慧农业总论智慧农业 / 农业物联网2 个信源同时报道 阅读 3
EXPLAINABLE EDGE AI FOR EARLY DETECTION OF PLANT DISEASES IN SMART AGRICULTURE USING LIGHTWEIGHT MOBILENETV2 WITH GRADIENT SALIENCY
提出轻量MobileNetV2结合梯度显著性实现边缘端植物病害早期可解释检测。
Efficient and explainable attention-based multitask learning for fruit type, ripeness, and disease classification
提出轻量多任务模型，同时分类水果种类、成熟度和病害，并具可解释性。
An Automata-Driven Cognitive Explainable Artificial Intelligence Framework for Climate-Adaptive Precision Agriculture and Environmental Sustainability
An Automata-Driven Cognitive Explainable Artificial Intelligence Framework for Climate-Adaptive Precision Agriculture and Environmental Sustainability。Cureus Journal of Computer Science.
Asymmetric Vegetation Responses to Flood Exposure in the Chi River Basin: A Multi-Temporal Remote Sensing and Machine Learning Investigation
利用多时相遥感和机器学习揭示泰国湄公河支流流域植被对洪水的非对称响应。
Artificial Intelligence-Based Innovations for Environmental Management in Uganda: A Scoping Review of Current Innovations
综述乌干达环境管理中AI应用现状，发现应用集中于遥感与森林监测，整体零散且受基础设施制约。
Cybersecurity and Privacy in AI-Enabled Agricultural IoT Ecosystems: A Systematic Review of Threats, Safeguards, and Resilience Gaps
系统综述2015-2025年农业物联网的网络安全、隐私威胁与防护措施及证据缺口。
Multi-scale attention-based feature learning for jujube fruit bruise detection and variety classification
提出MSA-TNet深度学习框架，实现红枣碰伤检测与品种分类。
A hybrid PCA and 1D-CNN approach with regional priors for accurate agricultural monitoring: a case study with EuroCropsML
A hybrid PCA and 1D-CNN approach with regional priors for accurate agricultural monitoring: a case study with EuroCropsML。Precision Agriculture
A Resource-Efficient Hybrid CNN-LSTM Network for Image-Based Bean Leaf Disease Classification
提出轻量级CNN-LSTM混合网络，用于豆叶病害分类，兼顾高精度与低资源占用。
AI-Driven Agricultural Advisory and Diagnostic Systems for Smallholder Farming: Technical Architectures, Evidence and Deployment Priorities for North-East India
综述AI农业咨询与诊断系统，聚焦印度东北小农，提出人监督多模态部署架构。
WaterFormer-MS: A multi-stream deep learning framework for surface water segmentation from satellite imagery
提出多流深度学习框架WaterFormer-MS，从Sentinel-2影像中精准分割地表水体。