Reasonable fertigation methods are essential for plant growth, as excessive or inadequate water and fertilizer supply can lead to plant diseases, resource consumption, or even crop production reduction. These problems are common to local farmers in Malaysia, especially for large-scale chilli cultivation using traditional irrigation approaches in rural areas. These problems need to be addressed, as chilli are one of Malaysia's high-cash crops with massive local demands. Realizing an efficient irrigation control approach using an innovative fertigation method is a potential solution to tackle such problems. This paper proposes a smart fertigation system for chilli cultivation in greenhouses in urban areas to increase chilli production and improve irrigation management. The proposed system utilized the fuzzy logic method for intelligent irrigation decisions, where the decision is based on the input data provided by soil moisture, temperature, and humidity sensors. In addition, the proposed system can monitor and control irrigation in the greenhouse remotely through a website that was developed using the Hostinger platform. The results showed that the fuzzy-based fertigation approach produced approximately 50% irrigation application efficiency and a higher growth gradient and chilli yield than the traditional approach in both cycles.

中文翻译：

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智能施肥系统对城市农业温室辣椒的影响

合理的施肥方式对植物的生长至关重要，因为水肥供应过多或不足都会导致植物病害、资源消耗，甚至作物减产。这些问题在马来西亚当地农民中很常见，尤其是在农村地区使用传统灌溉方法进行大规模辣椒种植时。这些问题需要解决，因为辣椒是马来西亚的高收入作物之一，当地需求量很大。使用创新的灌溉施肥方法实现有效的灌溉控制方法是解决此类问题的潜在解决方案。本文提出了一种智能施肥系统，用于城市地区温室辣椒种植，以增加辣椒产量并改善灌溉管理。所提出的系统利用模糊逻辑方法进行智能灌溉决策，其中决策基于土壤湿度、温度和湿度传感器提供的输入数据。此外，拟议的系统可以通过使用 Hostinger 平台开发的网站远程监控和控制温室中的灌溉。结果表明，与传统方法相比，基于模糊的灌溉施肥方法在两个周期中产生了大约 50% 的灌溉应用效率和更高的生长梯度和辣椒产量。