{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T05:50:52Z","timestamp":1791525052718,"version":"4.3.4"},"reference-count":86,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T00:00:00Z","timestamp":1776297600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"TCM Research and Innovation Team in Shaanxi Administration of Traditional Chinese Medicine","award":["TZKNCXTD-09"],"award-info":[{"award-number":["TZKNCXTD-09"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["42201413"],"award-info":[{"award-number":["42201413"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"award":["42201413"],"award-info":[{"award-number":["42201413"]}],"id":[{"id":"https:\/\/ror.org\/01h0zpd94","id-type":"ROR","asserted-by":"publisher"}]},{"name":"Shaanxi Academy of Sciences Talent Introduction Program","award":["2025k-3"],"award-info":[{"award-number":["2025k-3"]}]},{"name":"Basic and Applied Basic Research Project of the Guangzhou Science and Technology Bureau in 2025","award":["SL2024A04J01468"],"award-info":[{"award-number":["SL2024A04J01468"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>As a core resource of traditional Chinese medicine (TCM), medicinal plants are conventionally monitored and assessed using high-cost, low-efficiency methods. Remote sensing offers an efficient technical alternative for large-scale and dynamic evaluation. This study systematically reviewed the literature from 2005 to 2025, summarized remote sensing platforms, sensors, and data analytical methods, and specifically analyzed their applications in medicinal plant resource investigation, planting monitoring, stress monitoring, and TCM quality assessment. These studies mainly focus on resource surveys and quality analysis, targeting root and rhizome herbs. Integrated satellite-, UAV-, and ground-based remote sensing enables distribution mapping, growth retrieval, stress monitoring, and non-destructive quality evaluation in medicinal plants, achieving overall accuracies ranging from 80% to 100%. Currently, remote sensing applications in medicinal plants are evolving toward space\u2013air\u2013ground integration, multi-source data fusion, artificial intelligence empowerment, and multi-omics integration. However, they are constrained by complex wild habitats, difficulties in monitoring root herbs, spectral confusion, and limited model generalization. Future efforts should focus on establishing an integrated monitoring network, developing full-chain quality inversion models for geo-authentic herbs, building climate-adaptive cultivation systems, creating early pest\u2013disease warning technologies, and deepening the integration of remote sensing and multi-omics to support the sustainable utilization and high-quality development of medicinal plant resources.<\/jats:p>","DOI":"10.3390\/s26082465","type":"journal-article","created":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T15:14:12Z","timestamp":1776352452000},"page":"2465","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Remote Sensing Applications in Medicinal Plant Monitoring and Quality Assessment: A Review"],"prefix":"10.3390","volume":"26","author":[{"given":"Ziying","family":"Wang","sequence":"first","affiliation":[{"name":"School of Pharmacy, Xi\u2019an Jiaotong University, Xi\u2019an 710061, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinping","family":"Ji","sequence":"additional","affiliation":[{"name":"School of Pharmacy, Xi\u2019an Jiaotong University, Xi\u2019an 710061, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guanqiao","family":"Chen","sequence":"additional","affiliation":[{"name":"Tandon School of Engineering, New York University, New York, NY 11201, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxin","family":"Fan","sequence":"additional","affiliation":[{"name":"School of Pharmacy, Xi\u2019an Jiaotong University, Xi\u2019an 710061, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinnian","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Geography and Remote Sensing\/Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou 510006, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yingpin","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Geography and Remote Sensing\/Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou 510006, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xumei","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Pharmacy, Xi\u2019an Jiaotong University, Xi\u2019an 710061, China"},{"name":"Xi\u2019an Botanical Garden of Shaanxi Province, Xi\u2019an 710061, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,4,16]]},"reference":[{"key":"ref_1","unstructured":"FAO Inter-departmental Working Group on Biological Diversity for Food and Agriculture (2003). 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