{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T06:07:16Z","timestamp":1772690836128,"version":"3.50.1"},"reference-count":39,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T00:00:00Z","timestamp":1766361600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52575287"],"award-info":[{"award-number":["52575287"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52105257"],"award-info":[{"award-number":["52105257"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Scientific Research Project of Education Department of Jilin Province","award":["JJKH20241316HT"],"award-info":[{"award-number":["JJKH20241316HT"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Plants"],"abstract":"<jats:p>Real-time detection of fresh corn ear height can provide a basis for dynamic adjustment of harvester header parameters, reducing mechanical damage and improving harvest quality. This study proposes a corn ear height detection model (CEHD). A YOLO-HAMDF network is developed for ear recognition, in which the core modules\u2014TBDA, GLSA, and AQE\u2014respectively suppress background interference, enhance contextual perception, and optimize bounding-box scoring. Depth information is incorporated to filter non-target regions and improve system robustness. In addition, a DI-DeepSORT module is designed for ear tracking, where DBC-Net and IDA-Kalman, respectively, enhance the discriminability of ReID features and enable independent-dimension adaptive noise modeling with smoothed positional updates. Experimental results demonstrate that the proposed CEHD model achieves a mean absolute error (MAE) of only 3.21 \u00b1 0.05 cm under field conditions, indicating strong stability and practical applicability. In summary, this study presents a stable and reliable corn ear height detection system, achieves real-time monitoring of ear height, and provides data support for the dynamic adjustment of header parameters in fresh corn harvesters.<\/jats:p>","DOI":"10.3390\/plants15010038","type":"journal-article","created":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T16:19:26Z","timestamp":1766420366000},"page":"38","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["CEHD: A Unified Framework for Detection and Height Estimation of Fresh Corn Ears in Field Conditions"],"prefix":"10.3390","volume":"15","author":[{"given":"Hengyi","family":"Wang","sequence":"first","affiliation":[{"name":"College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China"},{"name":"Key Laboratory of Efficient Sowing and Harvesting Equipment, Ministry of Agriculture and Rural Affairs, Jilin University, Changchun 130022, China"},{"name":"Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Li","sequence":"additional","affiliation":[{"name":"College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China"},{"name":"Key Laboratory of Efficient Sowing and Harvesting Equipment, Ministry of Agriculture and Rural Affairs, Jilin University, Changchun 130022, China"},{"name":"Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6810-6595","authenticated-orcid":false,"given":"Jun","family":"Fu","sequence":"additional","affiliation":[{"name":"College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China"},{"name":"Key Laboratory of Efficient Sowing and Harvesting Equipment, Ministry of Agriculture and Rural Affairs, Jilin University, Changchun 130022, China"},{"name":"Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiankun","family":"Fu","sequence":"additional","affiliation":[{"name":"College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China"},{"name":"Key Laboratory of Efficient Sowing and Harvesting Equipment, Ministry of Agriculture and Rural Affairs, Jilin University, Changchun 130022, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2142-0154","authenticated-orcid":false,"given":"Yongliang","family":"Qiao","sequence":"additional","affiliation":[{"name":"Australian Institute Machine Learning (AIML), University of Adelaide, Adelaide, SA 5005, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,12,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"5441","DOI":"10.14719\/pst.5441","article-title":"Nutritional enhancement and genetic innovations in sweet corn: Unlocking super sweetness and health benefits through modern breeding technique\u2014A review","volume":"11","author":"Karanam","year":"2024","journal-title":"Plant Sci. 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