A Satellite-Based Framework for Flood Mapping: Enhancing Explainability Through Multispectral Indices and SHAP Analysis
构建SHAP增强的卫星洪水制图框架,用多光谱与地形变量训练LightGBM实现高精度分类。
Assessment of wetland and vegetation dynamics in the context of urbanization and seasonal variation using surface indices in Ara city, India
利用多光谱指数评估印度阿拉市1995-2025年湿地、植被与建成区的时空动态。
Applied Geography for Sustainable Regional Development in Maharashtra: Potentials, Challenges and Strategic Directions
综述应用地理学在马哈拉施特拉邦可持续区域发展中的作用、潜力与挑战。
A cost-effective approach of building plant digital twin combining plant phenotyping and growth models: A case study on rapeseed plants
结合手机3D重建与GreenLab生长模型,低成本构建油菜植株数字孪生。
No Relevant Content Found on Babylonian Trigonometry or Plimpton 322 — E8 Intelligence Research
检索结果与巴比伦三角学、Plimpton 322 完全无关,未找到任何相关内容。
Analysis of the Growth Responses and Multispectral Reflectance Characteristics of Rehmannia glutinosa Plug Seedlings under Drought Stress
用多光谱成像无损检测地黄穴盘苗干旱胁迫下的生长与光谱响应。
Multi-scale lodging in rice and wheat: bridging biomechanical traits, phenotypic detection, and intelligent harvesting systems
综述构建了水稻小麦倒伏从分子到收获的跨尺度力学框架,连接生物力学性状、表型检测与智能收获。
AI-driven assessment of forest dynamics and ecosystem services in response to land use change: current progress and future perspectives
综述AI结合遥感监测森林动态与生态系统服务,提出监测-评估-预测-优化四层框架。
A Big Data Curation Framework for Precision Agriculture: Actions, Actors and Challenges in the Indian Context
通过系统综述构建印度精准农业大数据治理框架,明确8阶段数据策展行动、9类机构角色及挑战。
Epistemological Friction: Embodied Expertise and the ‘Last Mile’ of Agricultural Automation in the US Tree‐Fruit Industry
通过美西果树业民族志研究,揭示农业自动化落地中算法逻辑与农户经验知识的冲突。
Quantifying the impact of grasshoppers: an integrated approach using dynamic vegetation indices, red edge shift and biophysical changes for remote sensing assessment in typical steppe of China
通过笼养实验量化蝗虫取食对典型草原植被的损害,结合植被指数与红边位移实现遥感评估。
Assessing the Sustainability Performance of Fishing Harbors Under Uncertainty: A Gaussian‐Neutrosophic Framework
提出SVN-Gaussian-Entropy-MABAC混合决策系统,评估小型渔港可持续性表现。
An Intelligent IoT-Enabled Machine Learning Framework for Smart Irrigation in Climate-Resilient Agriculture
An Intelligent IoT-Enabled Machine Learning Framework for Smart Irrigation in Climate-Resilient Agriculture。Research Square
Smart Agriculture with Machine Learning and Internet of Things Techniques: Literature Review and Bibliometric Analysis
综述机器学习与物联网在智慧农业中的应用并做文献计量分析。
Biostimulants reprogram alkaloid biosynthesis through hormonal crosstalk and transcriptional regulation
综述生物刺激素通过激素互作与转录调控重编程药用植物生物碱合成的机制与前景。
Mapping the Evolution of Urban Sprawl Research: A PRISMA-Based Systematic and Bibliometric Synthesis
基于PRISMA系统综述与文献计量,梳理全球城市蔓延研究的演化阶段、方法分布与地理格局。
Precision seed placement to advanced seed delivery: evolution, innovations, and future perspectives of seed tape systems for climate-smart agriculture
综述种子带技术从精准排种向多功能智能播种平台演进的路径与前景。
Integrating Vegetation Health Indices and Machine Learning for Early Prediction of Agricultural Drought
基于多源遥感与机器学习构建尼日利亚萨赫勒地区农业干旱早期预测框架。
IOT-BASED SOIL CONDITION ASSESSMENT IN SMART AGRICULTURE: A REVIEW OF INDICATORS, COMPOSITE INDICES AND DECISION-SUPPORT SYSTEMS
综述物联网土壤评估全信息链,提出土壤状况指数与决策支持框架。
Biochar in Ecological Restoration of Degraded Lands, Soil Health, and Food Crops Safety
综述农业废弃物生物炭修复退化土壤、提升作物产量与食品安全的研究进展与挑战。