Department of Information Technology and Computing, Zagreb University of Applied Sciences, 10000 Zagreb, Croatia.
Multimedia, Design and Application Department, University North, 42000 Varaždin, Croatia.
Sensors (Basel). 2021 Apr 7;21(8):2575. doi: 10.3390/s21082575.
Multidisciplinary approaches in science are still rare, especially in completely different fields such as agronomy science and computer science. We aim to create a state-of-the-art floating ebb and flow system greenhouse that can be used in future scientific experiments. The objective is to create a self-sufficient greenhouse with sensors, cloud connectivity, and artificial intelligence for real-time data processing and decision making. We investigated various approaches and proposed an optimal solution that can be used in much future research on plant growth in floating ebb and flow systems. A novel microclimate pocket-detection solution is proposed using an automatically guided suspended platform sensor system. Furthermore, we propose a methodology for replacing sensor data knowledge with artificial intelligence for plant health estimation. Plant health estimation allows longer ebb periods and increases the nutrient level in the final product. With intelligent design and the use of artificial intelligence algorithms, we will reduce the cost of plant research and increase the usability and reliability of research data. Thus, our newly developed greenhouse would be more suitable for plant growth research and production.
多学科方法在科学中仍然很少见，特别是在农学科学和计算机科学等完全不同的领域。我们的目标是创建一个最先进的漂浮潮汐系统温室，可以用于未来的科学实验。目标是创建一个带有传感器、云连接和人工智能的自给自足温室，用于实时数据处理和决策。我们研究了各种方法，并提出了一种最佳解决方案，可用于未来对漂浮潮汐系统中植物生长的大量研究。提出了一种使用自动引导悬浮平台传感器系统的新型微气候口袋检测解决方案。此外，我们提出了一种用人工智能替代传感器数据知识的方法，用于植物健康估计。植物健康估计允许更长的退潮期，并增加最终产品中的营养水平。通过智能设计和使用人工智能算法，我们将降低植物研究成本，并提高研究数据的可用性和可靠性。因此，我们新开发的温室将更适合植物生长研究和生产。
