全国秋粮收获过七成 农业农村部部署应对有系统性监测以来最强厄尔尼诺
据农业农村部最新农情调度,全国秋粮收获已过七成:东北过六成、黄淮海和西南过八成、西北近八成、长江中下游过六成、华南过三成;冬小麦播种过一成、冬油菜过三成。农业农村部制定印发防范应对超强厄尔尼诺夺取粮食和农业丰收相关预案,明确今年秋季防秋汛防旺长、冬季防冻害和雨雪冰冻;明年春季抗倒春寒冷抗旱抗低温春涝,夏季防干热风防烂场雨防洪涝防台风防高温。国家气候中心监测显示此次厄尔尼诺将成为有系统性监测以来最强,可能从今年秋种持续传导至明年春耕和夏季生产。各地秋粮旺季收购已收购中晚稻 1800 万吨。
Poloxamer‐Enabled Thermoresponsive Biobased Controlled‐Release Fertilizer for On‐Demand Nutrient Delivery
研发含F127温敏开关的生物基包膜控释肥,实现按温度按需释放养分。
Flood Hazard and Vulnerability Assessment of Chitrakoot District, Uttar Pradesh: An Integrated Geographical, GIS and Remote Sensing Approach
用GIS与遥感综合评估Chitrakoot区洪水灾害与脆弱性空间分布。
Spatio-Temporal Analysis of Shoreline Change Along the Machilipatnam Coast Using Landsat Imagery and QGIS
用Landsat影像和QGIS分析印度Machilipatnam海岸2018-2022年岸线时空变化
Estimation of rubber yield on Hainan Island, China using multi-source data during 2021-2025
构建多源数据耦合框架,实现海南岛橡胶干胶产量的高分辨率动态估算。
Impact of Land Use and Land Cover Change on Vegetation Cover Loss in Rwanda: Evidence from Muhoza Sector, Musanze District (2015–2025)
分析卢旺达Muhoza地区2015–2025年土地利用变化对植被覆盖丧失的影响。
MACHINE LEARNING BASED PREDICTION OF HYDROGEOLOGICAL PARAMETERS AND GROUNDWATER POTENTIAL INDEX USING GEOSPATIAL AND BOREHOLE DATA
提出融合地理空间与钻孔数据的机器学习框架,预测水文地质参数与地下水潜力指数。
GIS and remote sensing based multicriteria analysis for identifying potential agricultural land: A case study on Savar Upazila, Bangladesh
用GIS与遥感多准则分析评估孟加拉Savar地区潜在农业用地适宜性。
Machine Learning for Drought Analysis and Forecasting: A Critical Review of Data Fusion, Extreme-Event Sensitivity, Explainability and Generalization
综述55篇文献,比较机器学习干旱监测预报在定义、数据与验证上的差异。
Synergistic Use of Multitemporal SAR and Optical Data with Random Forest Approach for Rice Mapping in Bangladesh
融合Sentinel-1 SAR与Sentinel-2光学影像,用随机森林在GEE上绘制孟加拉国Bo
Lagged Effects and Mechanisms of Central Environmental Inspection Policies on Agricultural Straw Burning: Evidence from Remote Sensing Data in China
利用遥感数据评估中央环保督察政策对秸秆焚烧的滞后效应与作用机制。
PLANT-GPK v4.0: A Unified Time-Discovery Framework for Multi-Stage Plant Phenotyping
扩展PLANT-GPK框架,从单张图像反演植物生理参数与隐藏时间维度,实现跨发育阶段表型分析。
PLANT-GPK v2.7: Spatial Heterogeneity and Predictive Digital Twin for Plant Phenotyping
将植物图像分3x3网格反演ODE参数,构建空间生理热图与预测数字孪生。
PLANT-GPK v4.0: Multi-Stage Plant Phenotyping with Time-Discovery and Harvest Prediction
扩展PLANT-GPK框架,从单张图像反演植物生理参数与隐藏时间维度,实现跨生育期表型分析与收获期预
A data‐driven image extraction and analysis pipeline for plant phenotyping in controlled environments
构建多光谱图像提取分析流程,实现多作物表型自动化量化。
Real-Time IoT-Integrated Ensemble LSTM–Bi-LSTM Framework for Greenhouse Microclimate Forecasting
提出物联网集成LSTM与Bi-LSTM加权集成框架,实时预测温室微气候。
Agricultural Production under Climate Change in Afghanistan: Impacts, Challenges and Adaptation Options (A Review)
系统综述气候变化对阿富汗农业的影响、挑战与适应策略。
AI SMART AGRO SYSTEM: A WEB-BASED AI-ASSISTED DECISION SUPPORT PLATFORM FOR FARMERS
构建一个面向农民的网页版AI决策支持平台,集成病害识别、选种、土壤、灌溉与天气建议。
Beyond Adjacency: Measuring Direct Evidence at the Intersection of Climate-Smart Agriculture and Nutrition. A Scoping Review and Evidence-Gap Map Copy
综述气候智慧型农业与营养交叉领域的直接证据,发现证据严重缺失。
A Multi-Layer Contextual Model for Managing Data Overload in Smart Hydroponics
提出五层情境模型管理水培IoT环境数据,结合AR应用减少数据过载。