{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T07:11:02Z","timestamp":1789542662821,"version":"build-2803163510"},"reference-count":33,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T00:00:00Z","timestamp":1766188800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Heilongjiang Postdoctoral Fund to pursue scientific research","award":["LBH-Z23025"],"award-info":[{"award-number":["LBH-Z23025"]}]},{"name":"Heilongjiang Province Colleges and Universities Basic Scientific Research Business Expenses Project","award":["2024-KYYWF-0976"],"award-info":[{"award-number":["2024-KYYWF-0976"]}]},{"name":"Collaborative Innovation Achievement Program of Double First-class Disciplines in Heilongjiang Province","award":["LJGXCG2022-085"],"award-info":[{"award-number":["LJGXCG2022-085"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Digital agriculture and smart farming require crop health monitoring methods that balance detection accuracy with computational cost. Rice leaf diseases threaten yield, while field images often contain small multi-scale lesions, variable illumination and cluttered backgrounds. This paper investigates SCD-YOLOv11n, a lightweight detector designed with these constraints in mind. The model replaces the YOLOv11n backbone with a StarNet backbone and integrates a C3k2-Star module to enhance fine-grained, multi-scale feature extraction. A Detail-Strengthened Cross-scale Detection (DSCD) head is further introduced to improve localization of small lesions. On this architecture, we design a DepGraph-based mixed group-normalization pruning rule and apply channel-wise feature distillation to recover performance after pruning. Experiments on a public rice leaf disease dataset show that the compressed model requires 1.9 MB of storage, achieves 97.4% mAP@50 and 76.2% mAP@50:95, and attains a measured speed of 184 FPS under the tested settings. These results provide a quantitative reference for designing lightweight object detectors for rice disease monitoring in digital agriculture scenarios.<\/jats:p>","DOI":"10.3390\/s26010035","type":"journal-article","created":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T11:30:18Z","timestamp":1766489418000},"page":"35","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A Lightweight Edge-Deployable Framework for Intelligent Rice Disease Monitoring Based on Pruning and Distillation"],"prefix":"10.3390","volume":"26","author":[{"given":"Wei","family":"Liu","sequence":"first","affiliation":[{"name":"Harbin University of Commerce, Harbin 150028, China"},{"name":"Heilongjiang Provincial Key Laboratory of Electronic Commerce and Information Processing, Harbin 150028, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baoquan","family":"Duan","sequence":"additional","affiliation":[{"name":"Harbin University of Commerce, Harbin 150028, China"},{"name":"Heilongjiang Provincial Key Laboratory of Electronic Commerce and Information Processing, Harbin 150028, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhipeng","family":"Fan","sequence":"additional","affiliation":[{"name":"Harbin University of Commerce, Harbin 150028, China"},{"name":"Heilongjiang Provincial Key Laboratory of Electronic Commerce and Information Processing, Harbin 150028, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming","family":"Chen","sequence":"additional","affiliation":[{"name":"Harbin University of Commerce, Harbin 150028, China"},{"name":"Heilongjiang Provincial Key Laboratory of Electronic Commerce and Information Processing, Harbin 150028, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zeguo","family":"Qiu","sequence":"additional","affiliation":[{"name":"Harbin University of Commerce, Harbin 150028, China"},{"name":"Heilongjiang Provincial Key Laboratory of Electronic Commerce and Information Processing, Harbin 150028, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,12,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Tu, J., Wen, F., Li, F., Chen, T., Feng, B., Xiong, J., Fu, G., Qin, Y., and Wang, W. 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