Underwater Small Object Detection: A Survey
综述水下光学图像中的小目标检测，梳理问题、数据集、算法，并展望未来方向。
农业遥感与作物表型智慧农业
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没有这个标签，内容接近Evaluating the Influence of Landscape Structure on PM2.5 Variability: A Geospatial-remote Sensing Big Data Perspective
利用地理空间与遥感大数据，评估景观结构对PM2.5变化的影响。
农业遥感与作物表型智慧农业
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Simulating the Impact of Land Use and Land Cover Change on Surface Air Temperature Trends in South-Central Vietnam
量化越南中南部24年土地利用/覆盖变化对气温趋势的影响。
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Artificial Intelligence for Environmental Sustainability and Climate Change Mitigation: Recent Advances, Challenges, and Future Perspectives
综述AI在气候变化缓解与环境可持续领域的应用进展、挑战与未来方向。
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YOLO-Gr: An AIoT-Enabled Mobile–Edge–Cloud Framework with an Improved YOLO26 for Real-Time Grapevine Disease Detection and Smart Vineyard Monitoring
YOLO-Gr: An AIoT-Enabled Mobile–Edge–Cloud Framework with an Improved YOLO26 for Real-Time Grapevine Disease Detection and Smart Vineyard Monitoring。Smart Agricultural Technology
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该研究将改进YOLO26部署于移动-边缘-云协同架构，实现葡萄藤病害实时识别；其精度与边缘端推理时延数据是判断能否落地 vineyard 场景的关键，需核对数据集规模与田间验证条件。
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Environment-triggered partition-embedded multi-view monitoring for fish migration in turbid vertical-slot fishways using SPECF-YOLO
Environment-triggered partition-embedded multi-view monitoring for fish migration in turbid vertical-slot fishways using SPECF-YOLO。Computers and Electronics in Agriculture
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该研究将环境触发机制与分区嵌入式多视角检测结合，针对浑浊水体中鱼类洄游识别难题，适用于鱼道过鱼效果监测场景，但结论可靠性需结合其数据规模进一步判断。
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Advancing spatio-temporal fusion with spectral super-resolution for enhancing remote sensing of marine debris and landfills
提出融合Sentinel-2与PlanetScope的时空融合框架，结合光谱超分辨提升海洋垃圾与填埋
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Autonomous Robotic Navigation in Ornamental Crop Production Using Vision and Sensor Fusion
Autonomous Robotic Navigation in Ornamental Crop Production Using Vision and Sensor Fusion。Smart Agricultural Technology
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该研究将视觉与多传感器融合用于观赏作物生产场景的机器人自主导航，其适用边界在于温室/苗圃等结构化环境，田间复杂光照与遮挡下的可靠性仍需验证。
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