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。
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#农业AI
Maturity-aware credit governance in digital agricultural finance: leakage-free selective fusion for agri-food SME risk assessment
提出成熟度感知的选择性融合框架DAF-XCredit，用于农业食品中小企业信贷风险评估。
BeLFG-Net: A Lightweight Betel Leaf Freshness Grading Network via Hybrid Depthwise Separable Convolutions
提出轻量网络BeLFG-Net，实现槟榔叶采后新鲜度三级自动分级。
Comparative Analysis of Decision-Level Ensemble Voting Strategies for Tomato Leaf Disease Classification Using EfficientNet-B0 and MobileNetV2
系统比较硬投票、软投票与加权软投票三种决策级集成策略，用于番茄叶片病害分类。
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。
INTELIGÊNCIA ARTIFICIAL NA AGRICULTURA 4.0: DESAFIOS, POTENCIALIDADES E APLICAÇÕES NO MONITORAMENTO E MANEJO DAS CULTURAS
综述人工智能在农业4.0作物监测与管理中的应用、潜力与挑战。
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。
DEVELOPMENT OF A DELTA-BASED XGBOOST MODEL FOR FORECASTING RESERVOIR STORAGE DYNAMICS
提出基于增量学习的XGBoost模型预测水库日蓄水量增量，提升短期动态预报精度。
Artificial Intelligence in Soil Management: Implications for Climate Resilience—A Comprehensive Review
综述106项研究，分析AI结合传感技术用于土壤监测、建模与决策支持以提升气候韧性。
Leveraging Artificial Intelligence for Climate Change Mitigation in Africa: A Sustainable Approach
综述AI在非洲气候变化适应与减缓中的作用，以ENACTS为例分析挑战并提出政策建议。
Zenodo (CERN European Organization for Nuclear Research)·10月1日 · 周四59 分 论文遥感与农情监测农业遥感与作物表型2 个信源同时报道 阅读 3
Plant Phenotyping Using the PlantEye F500 Imaging System
介绍都灵大学PHENOPLANT平台用PlantEye F500进行植物无损表型测量的实验方案。
UGV based multi-RGBD SLAM framework for high-throughput in-situ 3D phenotyping of field maize
提出UGV搭载多RGBD相机的田间玉米原位3D表型系统，实现高通量三维重建与性状提取。
THE IMPACT OF MODERN TECHNOLOGICAL INNOVATIONS ON FOOD
实证研究尼日利亚技术型农场中现代技术创新与粮食安全的关系。
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。
Development of an Iot-Based Automated Plant Monitoring and Watering System Using Two-Input Sugeno Fuzzy Logic
开发基于ESP32与ESP32-CAM的物联网植物监测与自动灌溉系统，用Sugeno模糊逻辑决策浇水
YOLOv8-MST: a lightweight and efficient real-time detection and counting deep learning algorithm for double-grain peanut seeding
提出YOLOv8-MST轻量算法，实现双粒花生播种实时检测与计数。