Artificial Intelligence in Agriculture: Enhancing Yield and Sustainable Farming Practices among Farmers in India
基于二手数据综述AI在印度农业中提升产量与可持续性的应用及障碍。
农业AI与大模型
人工智能算法、大模型与决策支持系统
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Integrating multi-sensor optical and SAR data with machine learning ensembles for chickpea area estimation in the Krishna zone of Andhra Pradesh
融合光学与SAR多时相数据，用机器学习集成分类器估算安得拉邦鹰嘴豆种植面积。
Aerial Phenotyping of Coffee Flowering Using Deep Learning for Early Yield Prediction
用无人机RGB影像和深度学习对咖啡开花分级，实现早期产量预测。
Pixel-level high-throughput estimation of crop photosynthetic phenotyping parameters using a multi-task deep learning framework
提出像素级多任务深度学习框架，从高光谱数据高通量估算作物光合表型参数。
Automated System for Plant Health Monitoring and Stress Diagnosis Using IoT and Machine Learning
设计并验证了基于ESP32与随机森林的物联网闭环灌溉系统，实现植物胁迫自动诊断。
An Intelligent LLM–Fuzzy Decision Support and Digital Twin Framework for Adaptive Agricultural Robotics Systems
提出LLM-模糊决策与数字孪生框架，用于自适应农业机器人协同决策。
A multilevel living lab using a digital-twin-based modelling environment for sustainability education and decision support
研究将区域供热数字孪生模型环境融入多层级生活实验室，用于可持续教育并支持决策。
Smart Agriculture Technology: A Review of Robotic Platforms, Sensing Modalities, Artificial Intelligence, Datasets, Evaluation Metrics, and Future Research Directions
系统综述智慧农业机器人、传感、AI、数据集与评估指标，指出落地瓶颈并展望方向。
Sustainability intelligence: Integrating Artificial Intelligence, the Internet of Things, and Digital Twins for resource-efficient and climate-resilient systems
综述AI、物联网与数字孪生融合的可持续性智能，提出七层SIF框架。
Intelligent defense at the edge: a comprehensive survey of federated learning, TinyML and explainable AI for intrusion detection in IoT and IIoT ecosystems
综述联邦学习、TinyML与可解释AI在IoT/IIoT入侵检测中的进展，并提出统一框架。
A collaborative perception framework for green jujube: from lightweight key point detection to posture-aware harvest analysis
提出RDA-YOLO与SAM2协同感知框架，实现青枣采摘点定位与姿态分析。
Trade-off between investment and private withdrawals: assessing the return on investment for farms in France
估算法国1254个农场2002-2018年的内部收益率，并划分五种投资与私人提取策略。
NEWS OF THE NATIONAL ACADEMY OF SCIENCES OF THE REPUBLIC OF KAZAKHSTAN·10月1日 · 周四70 分 论文农业AI与大模型农业人工智能与决策模型阅读 3
SPATIAL AND CLIMATE DATA ANALYSIS FOR MACHINE LEARNING-BASED CROP YIELD PREDICTION IN NORTHERN KAZAKHSTAN
用1990–2025年气候数据与机器学习模型预测哈萨克斯坦北部小麦产量。
WeedNet: a foundation model-based global-to-local AI approach for weed species identification and classification
提出WeedNet基础模型，实现全球杂草物种识别与区域微调。
Use of artificial intelligence (AI) in vegetable crops: A review
综述人工智能在蔬菜作物生产中的应用，涵盖监测、诊断、灌溉、产量预测与采收机器人。
An assisted telemedicine model with digital diagnostics and artificial intelligence-supported clinical decision in hard-to-reach rural communities: a community-based mixed-methods study from Rajasthan, India
在印度偏远农村评估整合基层卫生员、便携诊断与AI辅助决策的远程医疗模式。
NEWS OF THE NATIONAL ACADEMY OF SCIENCES OF THE REPUBLIC OF KAZAKHSTAN·10月1日 · 周四0 分 论文农业AI与大模型数字乡村与农业信息化阅读 1
ECONOMIC OPPORTUNITIES AND CONSTRAINTS OF ARTIFICIAL INTELLIGENCE ADOPTION IN KAZAKHSTAN’S RESOURCE-ORIENTED ECONOMY
评估哈萨克斯坦资源型经济中AI应用的经济潜力与结构性约束。
Intelligent Automated Crop Monitoring System Based on Unmanned Aerial Vehicles and Deep Learning for Smart Agriculture
构建无人机RGB影像深度学习分割与空间矢量化框架，实现作物监测优先级评估。
Plant disease classification using lightweight deep learning architectures
比较六种轻量神经网络在三种植物病害数据集上的分类性能，面向边缘设备部署。
The impact of rural population shrinkage on cultivated land non-grain conversion—dual causal inference based on machine learning
基于中国257个地级市数据，用双机器学习等方法研究农村人口收缩对耕地非粮化的影响。