Hensard Journal of Health Governance and Digital Transformation·9月10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 3
Role of Artificial Intelligence in Addressing Major Healthcare Access Challenges across Africa
综述AI在非洲医疗可及性挑战中的应用、成效与障碍。
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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Zenodo (CERN European Organization for Nuclear Research)·9月30日 · 周三72 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 4
Empowering India's Digital Future through Artificial Intelligence in Geography
本文探讨地理空间人工智能（GeoAI）如何推动印度数字治理与可持续发展。
Spatio-temporal characteristics and driving factor identification of precipitation use efficiency: Based on machine learning and SHAP analysis
基于多源遥感与可解释机器学习，揭示东北寒区降水利用效率时空特征及驱动因子。
Genotype-Aware Prediction of Soybean Seed Composition from Multimodal UAV Imagery of the Standing Crop
用无人机多模态影像与基因型数据训练CNN，预测大豆八种种子成分。
Spectral Transforms as a Tool to Optimize Digital Phenotyping in Biological Images
用离散小波变换提取蛋壳图像多尺度空间特征，实现小样本高效数字表型。
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。
Causal Effects of Climate-Smart Agriculture Adoption on Smallholder Welfare and Food Security in Zambia: Evidence from Endogenous Switching Regression, Double Machine Learning, and Bayesian Estimation
Causal Effects of Climate-Smart Agriculture Adoption on Smallholder Welfare and Food Security in Zambia: Evidence from Endogenous Switching Regression, Double Machine Learning, and Bayesian Estimation。Research Square
Zenodo (CERN European Organization for Nuclear Research)·9月30日 · 周三46 分 论文农业AI与大模型智慧农业 / 农业物联网2 个信源同时报道 阅读 3
Uses of Artificial Intelligence In Geography
综述人工智能在地理学中的应用，涵盖GIS、遥感、城市规划、农业与环境监测等。
A governance-first framework integrates artificial intelligence and blockchain to advance sustainable and inclusive horticultural value chains
提出治理优先框架，整合AI与区块链提升园艺价值链可持续性与包容性。
Optimizing biochar application strategies to improve soil properties and crop productivity in salt-affected croplands: Evidence from a global meta-analysis and machine learning approach
Optimizing biochar application strategies to improve soil properties and crop productivity in salt-affected croplands: Evidence from a global meta-analysis and machine learning approach。Agricultural Systems
High-throughput phenotyping platform for facility crops based on optical sensing technology: A review
综述光学传感驱动的设施作物高通量表型平台，涵盖传感器、平台架构与数据处理。
Field-based deep learning classification of cotton and weeds for machine-vision-assisted intra-row weed management
用MobileNetV2和DenseNet169对田间棉花与杂草图像做二分类，验证机器视觉除草可行性
UAV-based rice nitrogen status monitoring using machine learning and deep learning
UAV-based rice nitrogen status monitoring using machine learning and deep learning。Precision Agriculture
PetalSpot: an open-source two-stage deep-learning workflow for pixel-level quantification of petal lesions
提出开源两阶段深度学习流程PetalSpot，实现花瓣病斑像素级量化。
Artificial intelligence-enabled aquacultural engineering systems: A design-oriented review of sensing, modelling, and deployment architectures
综述AI赋能水产养殖工程系统，从感知、建模到部署架构的设计视角。
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。
MDPI Remote Sensing 18(18):3107 MODIS NDVI与机器学习作物产量预测比较研究
基于印度州级MODIS NDVI与机器学习比较作物产量预测，随机森林优于梯度提升。
《数字经济参与与农场扩张:来自中国主要粮食产区农地租赁市场进入和经营耕地面积的证据》
基于四省1025户调查，研究农户数字经济参与是否促进农场扩张。
《基于遥感的农作物产量估算综述:机器学习技术及环境、算法和硬件限制》
系统综述遥感估产方法，分类传感器、平台、建模与机器学习，指出深度学习性能最优。
Comparative evaluation of classical machine learning and deep learning models for early weed detection in precision agriculture
对比经典机器学习与深度学习模型在精准农业早期杂草检测中的性能。