Simple and Affordable Vision-Based Detection of Seedling Deficiencies to Relieve Labor Shortages in Small-Scale Cruciferous Nurseries

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Pubblicato in:	Agriculture vol. 15, no. 21 (2025), p. 2227-2251
Autore principale:	Po-Jui, Su
Altri autori:	Tse-Min, Chen, Jung-Jeng, Su
Pubblicazione:	MDPI AG
Soggetti:	Raspberry Pi Ltd Shenzhen China United States > US China Taiwan Vision systems Artificial neural networks Programmable logic controllers Shortages Small farms Small-scale farming Image processing Automation Machine learning High performance computing Efficiency Cameras Seedlings Machine vision Graphics processing units Labor shortages Algorithms Modular design Surveillance Real time Nurseries Accuracy Deep learning Inspection Color Agriculture Stepping motors Low cost Control algorithms Edge computing Labor Positioning devices (machinery) Farms Morphology Economic
Accesso online:	Citation/Abstract Full Text + Graphics Full Text - PDF
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