Publications by authors named "Tiangang Lu"
Article Synopsis
- * Existing methods struggle with data correlations and performance issues when dealing with missing or imbalanced data in maize planting records.
- * To address these issues, the authors introduce a new model using bipartite graph neural networks, which improves data imputation and yield prediction by better mining correlations and balancing unbalanced samples.
A Modularized IoT Monitoring System with Edge-Computing for Aquaponics.
Sensors (Basel)
November 2022
Aquaponics is a green and efficient agricultural production model that combines aquaculture and vegetable cultivation. It is worth looking into optimizing the proportion of fish and plants to improve the quality and yield. However, there is little non-destructive monitoring of plant growth in aquaponics monitoring systems currently.
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