Modeling the productive potential of coffee trees in the Cerrado of Minas Gerais through hierarchical landscape analysis and remote sensing data
基于景观指标与NDVI构建模型，对巴西塞拉多咖啡树生产潜力进行分级分类。
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Monitoring sand encroachment in south-western Algeria (2019-2025) using Sentinel-2 imagery and a Random Forest classifier on Google Earth Engine
基于Sentinel-2与随机森林监测阿尔及利亚西南部2019-2025年沙丘侵占与土地覆盖变化。
F.A.R.M. (Field Analysis Revenue Management): An IoT and ML Integrated Solution
提出F.A.R.M.系统，用IoT传感与机器学习实现作物推荐、价格预测和产量估算。
FROM FARM DATA TO MARKET VALUE: A SYSTEMATİC REVİEW OF PRECİSİON AGRİCULTURE TECHNOLOGİES AND DATA-DRİVEN MARKETİNG STRATEGİES
系统综述精准农业数据生态如何转化为市场价值，提出FDMV模型。
International Journal of Pattern Recognition and Artificial Intelligence·9月30日 · 周三76 分 论文物联网传感与边缘计算智慧农业 / 农业物联网阅读 1
InResKolArno_SCO: An Efficient Plant Disease Classification Framework for IoT-Enabled Smart Agriculture
提出InResKolArno_SCO混合框架，用于物联网智慧农业中的植物病害分类。
Smart Human-centered Emerging Research in Machine Intelligence·9月30日 · 周三64 分 论文农业AI与大模型智慧农业 / 农业物联网阅读 2
A Human-Centered Machine Learning Dashboard for Real-Time Smart Farming Decision Support
提出以人为中心的机器学习仪表盘，融合物联网与预测模型，为农户提供实时可解释的决策支持。
Machine learning classification techniques for smart agriculture: a review of disease detection and crop recommendation
综述2023-2026年30篇文献，评估物联网与机器学习在作物病害检测和推荐中的应用。
Agrivlm: integrating vision-language models into real-time remote sensing for smart agriculture
Agrivlm: integrating vision-language models into real-time remote sensing for smart agriculture。Wireless Networks
A Knowledge‐Augmented Wearable System for Interpretable Plant Health Monitoring
提出知识增强可穿戴系统K-Wear，将植物传感信号转化为可解释诊断与建议。
Species identification of crops and weeds in wheat fields using hyperspectral data and machine learning algorithms
利用高光谱数据与随机森林识别哈萨克斯坦东北部麦田作物与杂草，并分析误判的生物学原因。
Lecture 1: Quantum Computing Applied to Animal Nutrition and Agriculture: Emerging Opportunities and Practical Perspectives.
探讨量子计算在动物营养与农业中的应用前景，重点分析混合量子-经典方法解决组合优化等难题的潜力。
TOE Drivers and Farm Performance: The Mediating Role of AI Adoption in Omani Hydroponics—An Exploratory Sequential Mixed-Methods Study
基于TOE框架，用混合方法研究阿曼水培农场AI采纳的驱动因素及对绩效的中介作用。
Multi-Scale Texture-Attention Network for Automated Arecanut Disease Classification Using Explainable Deep Learning
提出MSTANet多尺度纹理注意力网络，实现槟榔九类病害自动分类。
AI-Enabled Digital Connectivity and Agricultural Productivity in Remote Rural Saudi Arabia Under Vision 2030: Evidence from ARDL and NARDL
用ARDL和NARDL分析沙特2000-2025年数字连接与农业生产力关系，发现长期正向但存在不对称
Land Use/ Land Cover Dynamics and the Decline of Grazing Resources in Dauchi Grazing Reserve, Adamawa State, Nigeria
用40年遥感影像评估尼日利亚Dauchi放牧保护区土地利用变化对放牧资源的影响。
IIARD INTERNATIONAL JOURNAL OF GEOGRAPHY AND ENVIRONMENTAL MANAGEMENT·9月28日 · 周一60 分 论文遥感与农情监测农业遥感与作物表型阅读 3
Integrating Earth Observation Data for Assessing the Impact of Mining Ponds on Land Use and Land Cover Change
用Landsat影像与问卷评估矿区池塘对土地利用变化及社会经济的影响。
Problems of soil degradation assessment using spectral indices from space images
提出融合多光谱指数的Sentinel-2土壤退化评估方法，在乌兹别克斯坦验证并识别盐渍化阶段。
A multi-scale remote sensing approach for assessing drought impacts on rainfed and irrigated cereal yields in Lleida, Spain
评估多尺度遥感干旱指数对西班牙Lleida地区雨养与灌溉谷物产量的解释能力。
Raspberry Pi Lightweight Deep Learning Models Deployed for Corn Growth Stage Classification Using PhenoCam Images
用PhenoCam图像训练轻量深度学习模型，在树莓派上实时分类玉米8个生长阶段。
Socio-spatial modelling of village territory boundaries in North and Centre Benin
提出用村庄坐标、人口普查和农业生态区数据自动划定贝宁村庄边界的方法。