Molecular Pathogens, 2025, Vol.16, No.3, 134-146 http://microbescipublisher.com/index.php/mp 143 enthusiasm for planting new disease-resistant varieties; on the other hand, the government can adopt appropriate policy incentives, such as subsidies for the replacement of disease-resistant varieties to reduce the risk of farmers adopting new varieties. Secondly, the seedling breeding and supply system for disease-resistant varieties needs to be improved. Sugarcane is mainly reproduced through asexual stem segments, and promoting new varieties requires a large number of healthy seedlings. At present, some areas have problems with insufficient supply of new varieties and mixed methods of good varieties, which makes it difficult to guarantee the purity and resistance of new varieties. The solution is to establish a complete system of breeding sugarcane seeds, checking them from original seeds, first-level nurseries to production seeds, and combining them with detoxification and rapid breeding technology to ensure that disease-resistant varieties enter production in the form of high-quality seedlings. Again, regional differences in pests and diseases make it difficult for a single variety to meet all regional needs. For example, a certain variety is resistant to smut but susceptible to rust, and it may be counterproductive to promote it to areas with high incidence of rust. Therefore, in promotion, we should adapt to local conditions, promote diversified varieties of planting, and avoid "one product dominance" (Otieno et al., 2019). 8 The Integration of Informatization and Intelligent Prevention and Control Technology 8.1 Construction of remote sensing monitoring and early warning system for diseases and diseases The development of modern remote sensing and sensing technology provides new means for large-area sugarcane pest monitoring. Using satellite remote sensing, low-altitude remote sensing of drones and other technologies, real-time images of sugarcane crop growth can be obtained, and early signs of disease and pests can be extracted from it. Sugarcane plants affected by borer or disease often show changes in leaf color and spectral reflection characteristics, and these anomalies can be found through hyperspectral remote sensing image analysis. Waters et al.'s research reviews the methods of using satellite spectroscopy and machine learning to detect sugarcane health and pests, pointing out that although there are many factors that affect the spectrum (such as varieties, soil, weather, etc.), the accuracy of remote sensing evaluation can be improved through big data analysis. At present, there is a prototype system for monitoring sugarcane pests based on remote sensing. A near-real-time space decision support system has been developed in Australia, using time-sequential satellite images to monitor sugarcane growth abnormalities, combined with ground investigations, early warning of borers, etc. In China, the agricultural department is also promoting the construction of digital agricultural situations, using satellites and ground Internet of Things sensors to dynamically monitor sugarcane growth, insect conditions and disease, and timely release warning information (Huang, 2024). By integrating data from different sources (remote sensing images, automatic insect-based information light data, meteorological data, etc.), establishing a prediction model for sugarcane pest and disease occurrence can more accurately predict the development of insects and guide prevention and control decisions. 8.2 Intelligent spraying and precise control technology Under the general trend of reducing drugs and controlling harm, applying the Internet of Things and artificial intelligence technology to the prevention and control of sugarcane pests can achieve accurate and efficient pesticide application. The sugarcane planting area is large and the plot is concentrated. Using drones (plant protection drones) for aviation application has the advantages of rapid and efficient use. Southern sugarcane areas have widely used drones to carry out emergency prevention and control of sugarcane borers, etc., and one-time flight prevention operation can cover hundreds of acres of sugarcane fields, greatly improving the prevention and control efficiency. For example, in a certain sugarcane area in Guangxi, multiple drones were organized to jointly spray the second-generation summer sticky insects, and the unified prevention and control of tens of thousands of acres of sugarcane fields in the county was completed in just two days. Plant protection drones can also perform variable spraying based on pre-set trajectories and doses, so as to achieve "applying medicines on demand and precise delivery", avoiding the damage and leakage and heavy spraying of sugarcane plants by ground machinery or human operations (Filho et al., 2019). In addition, intelligent ground drug application equipment is also being explored. For example, the automatic walking spray rod machine of sugar cane field under development is equipped with crop row identification and obstacle detection sensors, which can automatically navigate and spray
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