#SWOT

构建并验证常规农业与气候智慧农业兼容性指标体系，并用因果图组织。

提出基于格密码的WSN认证框架，抵抗量子攻击，保障消息传输安全。

构建政府、企业与农户三方演化博弈并用系统动力学模拟北方农村固废治理。

9月7日是袁隆平院士诞辰96周年，由湖南省农业科学院牵头联合湖南杂交水稻研究中心、绥宁县人民政府以及相关种业企业，在湖南省邵阳市武阳村开展总面积202亩的超级稻爽两优138大面积制种示范。专家组现场随机抽取3块田开展机械实收测产：三块田平均亩产530.4公斤，创下杂交水稻大面积制种高产新的世界纪录。

Accurate river discharge estimation is essential for water cycle modeling, water hazards prevention, water ecosystem protection and water resource management. However, conventional ground-based gauging networks are often sparsely distributed and insufficient to capture the complex hydrodynamic characteristics within large and heterogeneous river basins. With the rapid advancement of remote sensing technologies, particularly the launch of the Surface Water and Ocean Topography (SWOT) mission, new opportunities have emerged for large-scale and continuous river discharge estimation. In this study, we develop and evaluate a SWOT-based river discharge estimation framework for the Yangtze River by integrating SWOT RiverSP hydraulic observations organized on the SWORD river network with Satellite Embedding V1 data in a random forest model to capture both hydrodynamic and geomorphological characteristics. The framework is evaluated using temporally separated training and testing observations from nine gauging stations along the Yangtze River mainstream, with station-specific nonlinear empirical models used for comparison. The main conclusions are as follows: 1) The random forest model substantially improves discharge estimation relative to the empirical formulation, with a maximum NSE gain of 0.4372 and an NRMSE reduction of up to 0.1175; 2) The model demonstrates reliable performance across the nine gauging stations, with all stations achieving NSE ≥ 0.72 and the overall performance reaching NSE = 0.8910 and NRMSE = 0.0664; 3) The spatially explicit discharge estimates show strong agreement with reach-scale results (correlation ≈ 0.9), indicating that water level exerts primary control on discharge, while channel width and geometry significantly modulate discharge responses in morphologically complex reaches. These results demonstrate the potential of combining SWOT hydraulics with satellite foundation embeddings to improve discharge estimation.

探讨数字技术对农业企业创新发展的影响，分析效益与障碍并提出改进路径。

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。

上海市农科院自主育成的粳稻新品种'太安1号'种植面积已达5万亩，眼下正长势喜人，预计10月底开镰收割。该品种前不久斩获第七届全国优质稻品种食味品质鉴评金奖，新米上市后将供应全市380多所学校的学生餐。'太安1号'直链淀粉含量仅8.4%（普通粳米12—16%）、整精米率达72%以上（其他优质香米仅65%）、抗病能力强、生育期约149天比同类型优质粳稻早熟7天，新米可以抢先上市。