关键词 · 相关资讯与研究
沿着“AgriLife pasture mealybug”继续探索，共 0 条内容。
High temperatures change how mealybugs feed, and that could help explain why some pasture mealybug infestations do far more damage than others, according to early findings from Texas A&M AgriLife Research scientists.
研究用EPG传感器记录高温下草地粉蚧取食波形，发现其增加木质部取食和唾液分泌，为解释虫害差异及精准施药时机提供早期依据，尚属实验室阶段。
Ukulima True is a communications campaign that has helped to reduce pesticide risks among farmers in Kenya. Carried out under PlantwisePlus, it has reached a wide range of stakeholders, from smallholders and consumers to extension officers and policymakers. The campaign has shared practical advice to support social and behavioural change around pesticides, helping many people… The post Ukulima True: Expanding pesticide risk reduction using a One Health approach appeared first on PlantwisePlus Blog.
该试点将社区健康推广员纳入农药风险沟通，2024年60名推广员覆盖100户家庭，为跨部门协同的农药减量推广提供了可复制的组织路径，但样本规模小、地域限于肯尼亚。
Entomopathogenic nematode recent applications in precision agriculture: Methods, challenges, and future perspectives。Journal of Invertebrate Pathology
通过访谈肯尼亚88位小农户，探究其对杂交与本地玉米受草地贪夜蛾影响的真实体验。
A UAV-based spectral and textural retrieval framework for estimating aboveground carbon, nitrogen, and phosphorus concentrations in forage crops: species- and element-specific feature-mode performance。Smart Agricultural Technology
该研究按饲草物种和元素分别比较光谱与纹理特征模式的估算效果，可为无人机遥感养分监测的特征选择提供参考，但结论适用性受试验物种与区域限制。
结合公民科学数据与卫星遥感，揭示古北区Oedaleus decorus蝗虫体色多态性的时空格局。
原文：Automated Detection and Counting of Redbanded Stink Bugs in Soybean Using an Improved Computer Vision Model。研究使用2281张田间图像训练YOLOv8变体，加入注意力模块和自适应空间特征融合后，最佳模型精确率96.30%、召回率76.40%、F1值85.20%，mAP50为82.00%。成果可辅助大豆害虫监测，但数据集与部署环境仍限制外推。
提出AgroInsect边缘-云混合AI架构，实现农田害虫精准检测与地统计插值。
