Solutions

With continuous technological advancements, soilless cultivation—a modern agricultural method—has gained increasing attention. By replacing soil with nutrient solutions that provide plants with essential water, nutrients, and oxygen, soilless cultivation offers advantages such as water and land conservation, high yields, and reduced reliance on complex environmental controls. However, managing critical parameters like pH levels and temperature is essential to ensure optimal plant growth. An intelligent monitoring solution for soilless cultivation plays a vital role in enhancing efficiency, yield, and quality while advancing digital and smart agriculture.

Traditional insect pest monitoring relies on manual inspections and light trap counting, which suffer from low efficiency, poor timeliness, and inaccurate data. For instance, manual pest identification has a 30% error rate and cannot provide real-time early warnings for pest outbreaks. With advancements in AI image recognition, IoT, and edge computing, AI-driven insect monitoring systems now enable automated trapping, intelligent identification, and dynamic early warnings, shifting pest control from reactive responses to proactive prevention.