Mesopotamia Beyond Tells: Documenting Agro-Pastoral Landscapes in the Zagros Piedmont (Kurdistan Region of Iraq)
提出CArE项目方法框架，系统记录伊拉克库尔德斯坦扎格罗斯山麓的农牧景观。
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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A multiplexed wearable microfluidic platform for non-invasive sweat-inspired monitoring of plant guttation biomarkers
开发可穿戴微流控电化学平台PlantIonics，实时无创监测植物吐水液生物标志物。
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。
Energy-Aware Reinforcement-Driven Clustering Framework with Adaptive Processing for Sustainable IoT Sensor Networks
提出RECAP框架，用强化学习动态聚类与自适应处理延长农业物联网传感器网络寿命。
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。
Development of a Blockchain-Internet of Things (IoT) Security Framework
开发并评估基于区块链与物联网的农业数据安全框架，保障土壤湿度与气象站数据。
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
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。
Does rural digitalization improve food production security? Evidence from China’s digital village construction policy
以中国数字乡村建设政策为准自然实验，评估农村数字化对区域粮食生产安全的影响。
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。
Direct surface reflectance retrieval from UAV multispectral imagery using onboard upward-looking spectrometer with MLR under variable illuminations
利用无人机搭载向上光谱仪与多元线性回归，从多光谱影像直接反演地表反射率。
From sensing to modeling: machine learning-driven wearable humidity sensors for plant water status monitoring
将可穿戴湿度传感器与机器学习结合，实现植物水分状态监测。
A physical-context-conditioned multimodal fusion network for estimating maize canopy nitrogen content using multi-source UAV remote sensing data
提出物理上下文条件化多模态融合网络，用多源无人机遥感估算玉米冠层氮含量。
Interpretable machine learning reveals threshold effects of blue mussel (Mytilus edulis) fouling on the hydrodynamic response of the marine aquaculture netting
用可解释机器学习揭示蓝贻贝污损对海水养殖网箱水动力响应的阈值效应。
PhySinc-Net: A physics-informed interpretable deep learning architecture for non-contact respiratory rate monitoring in dairy goats
提出物理信息可解释深度学习架构PhySinc-Net，实现奶山羊非接触呼吸率监测。
MSO-Det: A multi-level synergistic optimization framework for robust spike object detection in field scenes
提出MSO-Det多级协同优化框架，用于田间场景下鲁棒的穗部目标检测。
信息环境改善与农户增收：来自数字乡村试点的微观证据（PSM-DID)
基于数字乡村试点，用PSM-DID识别信息环境改善对农户收入的因果效应。
UAV-based RGB imagery and supervised–unsupervised machine learning for estimating sorghum biomass and grain yield under water and nitrogen stress
用无人机RGB影像与机器学习估算水分氮胁迫下高粱生物量和产量。