{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T11:05:22Z","timestamp":1790593522987,"version":"4.1.0"},"reference-count":153,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T00:00:00Z","timestamp":1790553600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Plant Sci."],"abstract":"<jats:p>Lodging severely compromises the productivity and harvestability of rice and wheat, yet the mechanistic links among molecular regulation, tissue structure, whole-plant mechanical failure, field phenotypes, and harvesting responses remain insufficiently integrated. This review establishes a mechanically consistent, plant-centered, cross-scale framework that connects genetic and biochemical regulation to quantifiable engineering parameters, including bending moment, section modulus, flexural rigidity, and resisting moment, and links these parameters to canopy-scale structural and optical phenotypes and ultimately to harvestability. We show that tissue-level material properties and organ-scale geometry jointly determine root anchorage, flexural rigidity, breaking resistance, and whole-plant lodging behavior. We further explain how mechanical failure reorganizes canopy geometry and optical properties, generating structural and spectral phenotypes that can be quantified through field phenotyping, unmanned aerial vehicle (UAV) remote sensing, three-dimensional sensing, and machine- and deep-learning approaches. Finally, we identify root\u2013shoot mechanical coupling, standardized biomechanical measurements, cross-environment model validation, and the integration of perception with adaptive harvesting control as major priorities for future research. By unifying plant biology, mechanics, digital phenotyping, and engineering action within a common physical framework, this review provides a basis for lodging-resistant breeding, field monitoring, and intelligent crop management.<\/jats:p>","DOI":"10.3389\/fpls.2026.1956108","type":"journal-article","created":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T10:39:38Z","timestamp":1790591978000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-scale lodging in rice and wheat: bridging biomechanical traits, phenotypic detection, and intelligent harvesting systems"],"prefix":"10.3389","volume":"17","author":[{"given":"Tiantian","family":"Jing","sequence":"first","affiliation":[{"name":"School of Agricultural Engineering, Jiangsu University","place":["Zhenjiang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xianfei","family":"Xia","sequence":"additional","affiliation":[{"name":"Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs","place":["Nanjing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhong","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Agricultural Engineering, Jiangsu University","place":["Zhenjiang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhan","family":"Su","sequence":"additional","affiliation":[{"name":"Key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua University of Vocational Technology","place":["Jinhua, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhao","family":"Ding","sequence":"additional","affiliation":[{"name":"Key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua University of Vocational Technology","place":["Jinhua, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,9,28]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121788","article-title":"Comprehensive wheat lodging detection after initial lodging using UAV RGB images","volume":"238","author":"Azizi","year":"2024","journal-title":"Expert Syst. 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