#作物胁迫监测

该综述梳理无人机遥感在作物水分胁迫监测中的进展，指出融合RGB、多光谱、高光谱与热红外传感器可获取叶绿素、冠层温度与气孔导度等指标；春季玉米随机森林模型R²>0.575，棉花XGBoost对水分胁迫指数R²达0.90，但仍需跨区验证与决策系…

综述AI（CNN、ViT、无人机遥感、物联网）用于作物病虫害早期检测并融入种植园风险管理。

综述构建了水稻小麦倒伏从分子到收获的跨尺度力学框架，连接生物力学性状、表型检测与智能收获。

提出低成本主从多机器人系统，通过多模态叶片感知实现田间作物早期胁迫检测。

This article reviews the integration of remote sensing technologies into agricultural surveys to address the limitations of conventional data collection, such as high costs, questionable reliability, and lack of timeliness. It examines how electromagnetic radiation, spectral signatures, and various sensor systems (including IRS-1C, LISS-III, PAN, and WiFS) are utilized to monitor dynamic agricultural resources. The review highlights specific applications across three main domains: crop surveys (e.g., crop identification, yield forecasting, and disease infestation), range surveys (e.g., forest delineation and soil moisture), and livestock surveys. The study concludes that remote sensing provides a rapid, cost-effective, and comprehensive synoptic view essential for effective local and national agricultural planning and resource management.

A process-oriented framework for daily dynamic monitoring of summer maize drought: From meteorological stress to agricultural impact。Agricultural Systems

北京市农林科学院联合中国农业科学院烟草研究所在山东滨海盐渍区开展 14 块玉米与 13 块大豆试验,基于 UAV 多光谱与偏最小二乘路径建模(PLS-PM)融合基线土壤盐分与叶面积指数、株高、SPAD、覆盖度,构建盐胁迫响应指数 SSRI;SSRI 与产量呈显著负相关(r=−0.670 至 −0.764),EN 模型在玉米拔节期 R²=0.774、PLSR 在开花期 R²=0.819,生成的空间 SSRI 地图可捕捉田间异质性,为盐渍农业 UAV 作物胁迫监测与精准管理干预评估提供概念验证框架。

基于物联网传感器实现农田土壤湿度自动监测与灌溉控制。