Shandong Tianhe Environmental Technology Co., Ltd., as a high-tech enterprise specializing in agricultural environmental monitoring and intelligent equipment research and development, has always been committed to combining cutting-edge technology with modern agricultural needs. We deeply understand that the prevention and control of crop diseases are key links in ensuring agricultural production safety and product quality. Traditional disease monitoring mainly relies on manual field investigations, which have many limitations such as poor timeliness, high labor intensity, and strong subjectivity. In order to effectively address these issues, we have invested a significant amount of research and development resources and successfully launched a new generation of intelligent spore capture system.

This system is a comprehensive solution that integrates automatic capture, intelligent recognition, data analysis, and remote warning. Its core working principle is to use the built-in air pump to actively and continuously extract air samples from the environment. Particles such as plant pathogen spores suspended in the air will be precisely adsorbed onto a dedicated glass slide inside the system. The high-resolution microscopic imaging unit equipped in the system will automatically take photos of the captured samples at regular intervals to obtain clear spore images.

The key lies in its backend AI intelligent recognition algorithm. We have established a refined image database covering hundreds of common crop pathogens through deep cooperation with agricultural research institutes. The system utilizes deep learning technology to automatically analyze and compare the morphological characteristics of captured spores, quickly and accurately identifying the type and quantity of spores. This process is automated, greatly improving recognition efficiency and accuracy, avoiding errors in manual identification.

In addition to precise identification, the system also has powerful data transmission and cloud platform management functions. The image data, recognition results, and auxiliary data such as environmental temperature and humidity collected through 4G/5G or wireless networks will be uploaded in real-time to the cloud data center. Users, whether they are agricultural technology extension personnel, large-scale growers, or agricultural enterprise managers, can log in to our cloud platform anytime and anywhere through computer web pages or mobile apps to intuitively view the dynamic distribution of disease spores in the field. The platform will automatically generate visual reports that clearly display the occurrence trends and spatial distribution of different diseases, providing scientific basis for disease warning.

The application value of this system is very significant. Firstly, it achieves early warning of crop diseases. By monitoring the concentration changes of pathogenic bacterial spores in the air, early warnings can be issued several days or even earlier before the widespread onset of diseases, which has won valuable time for taking precise preventive measures and achieved a fundamental transformation from "passive treatment" to "active prevention". Secondly, it guides scientific medication. Based on accurate spore types and quantity data, users can develop more precise pesticide application plans, effectively reducing the blind use of pesticides, lowering production costs, and reducing environmental impact, thereby promoting the development of green agriculture. Furthermore, it significantly improves monitoring efficiency. One device can achieve automation and all-weather monitoring of a large area, freeing agricultural technicians from heavy field investigations and focusing on data analysis and decision-making guidance.

Our intelligent spore capture system has achieved good application results in monitoring and early warning of various important crop diseases such as wheat Fusarium head blight, rice blast disease, and vegetable downy mildew, and has been highly recognized by many users. In the future, we will continue to optimize algorithm models, expand pathogen databases, and explore the linkage between the system and other intelligent devices such as drones and IoT sensors to build a more three-dimensional and intelligent comprehensive prevention and control system for agricultural pests and diseases.

We believe that technological innovation is the core driving force for promoting agricultural modernization. Shandong Tianhe Environmental Technology Co., Ltd. is willing to work together with all the experts and colleagues present to contribute to ensuring national food security and promoting sustainable agricultural development.