Continuous Growth Monitoring and Prediction with 1D Convolutional Neural Network Using Generated Data with Vision Transformer

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Bibliographische Detailangaben
Veröffentlicht in:	Plants vol. 13, no. 21 (2024), p. 3110
1. Verfasser:	Woo-Joo, Choi
Weitere Verfasser:	Se-Hun Jang, Moon, Taewon, Kyeong-Su Seo, Da-Seul, Choi, Myung-Min, Oh
Veröffentlicht:	MDPI AG
Schlagworte:	Raspberry Pi Ltd South Korea United States > US Resource efficiency Environmental monitoring Leaf area Humidity Datasets Deep learning Nondestructive testing Investigations Simulation models Color imagery Artificial neural networks Developmental stages Productivity Crops Image processing Feedback Control systems Computer vision Monitoring Lettuce Growth factors Crop growth Farming Image enhancement Predictions Neural networks Data collection Image quality Real time Feedback control
Online-Zugang:	Citation/Abstract Full Text + Graphics Full Text - PDF
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