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。
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。
技术筛选 · 已选 1 项
98 篇内容清除全部筛选
Risk-based prioritization of official animal welfare inspections using machine learning
用机器学习基于常规行政与兽医数据，对奥地利农场动物福利违规风险进行优先级排序。
Hyperspectral inversion of soil total nitrogen content using spectral and machine learning
用高光谱与机器学习反演陕北农牧交错带农田土壤全氮含量。
International Journal of Engineering Technology Research & Management·12月21日 · 周一34 分 论文数字农业与前沿技术农业人工智能与决策模型阅读 2
PRECISION AGRICULTURE ANALYTICS USING UAV MULTISPECTRAL IMAGING AND MACHINE LEARNING FOR CROP STRESS DETECTION AND YIELD OPTIMIZATION MODELS
利用无人机多光谱影像与机器学习进行作物胁迫检测和产量优化建模。
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。
Current breakthroughs in biomass and carbon modelling of rubber plantations: A bibliometric analysis and literature review
综述橡胶林生物量与碳建模研究进展，指出机器学习与深度学习精度最高但标准化和区域数据仍不足。
Evaluating Reference Evapotranspiration and Soil Moisture as Predictors for Machine Learning-Based Actual Evapotranspiration Estimation: Model Performance and Explainability
评估ET0与土壤湿度对机器学习估算实际蒸散的影响及可解释性。
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。
A stocktake of opportunities and knowledge gaps in advancing digital agriculture in Quebec
系统盘点魁北克数字农业技术应用及其对可持续发展的贡献与知识空白。
Assessing Land Use, Land Cover Changes, and Urbanization Impacts on Water Stress in West African Watersheds: A Systematic Methodological Review
系统综述西非流域土地利用变化与城市化对水资源压力的评估方法。
A Hybrid Model for Crop Yield Prediction Using Recurrent Neural Networks and Explainable Artificial Intelligence
用LSTM结合可解释AI预测肯尼亚玉米产量，兼顾精度与透明度。
Revista de teledetección: Revista de la Asociación Española de Teledetección·9月25日 · 周五72 分 论文农业AI与大模型农业人工智能与决策模型阅读 2
Interpretable multi-index framework for extracting dry-season built-up areas: benchmarking machine learning with Sentinel-2
提出可解释多指数规则框架，用Sentinel-2提取旱季建成区，性能优于机器学习。
Journal of Geography Environment and Earth Science International·9月25日 · 周五67 分 论文遥感与农情监测农业遥感与作物表型阅读 4
Spatial Estimation of Carbon Sequestration Using Remote Sensing and Its Application in Carbon-credit Assessment: A Comprehensive Review
综述遥感碳储量估算技术及其在碳信用评估中的应用与挑战。
Advances and gaps in mitigation and management practices across critical landscapes and scales
综述环境减缓与管理实践进展，指出成效高度依赖情境且存在实施缺口。
Functional photonic and optoelectronic materials and devices for climate-resilient smart agriculture: a review
综述光子与光电子材料器件结合物联网和机器学习，支撑气候韧性智慧农业的作物与土壤监测。
Approaches to forecast soil nutrient dynamics for precision agriculture and sustainable fertiliser management: A review
综述土壤养分动态预测的统计与机器学习方法，比较精度与局限。
Rice Cropping Pattern Mapping Using GEE-Based Sentinel-1/2 Time-Series Imagery and Machine Learning
基于GEE融合Sentinel-1/2时序与地形特征，用机器学习高精度制图长三角水稻种植模式。
Detection of Red Crown Rot of Soybean in Illinois Fields Using High-Resolution Satellite Imagery and Machine Learning
利用高分辨率卫星影像和机器学习在大豆田中检测红冠腐病。
Understanding Land Use/Land Cover Dynamics and Land Surface Temperature Variations Through Machine Learning and Geospatial Approach: A Case Study of Kullu District, Himachal Pradesh, India
用机器学习与遥感分析印度库鲁区1991-2022年土地利用变化及其对地表温度的影响。
Yield ranking of spring wheat breeding lines absent from model training within two contrasting seasons in northern Kazakhstan
评估春小麦育种品系产量模型在未参与训练品系上的跨季预测能力。