Bioscience Methods 2025, Vol.16, No.3, 117-136 http://bioscipublisher.com/index.php/bm 132 Only by investing in policies, guiding them emotionally, and building a stage for all kinds of talents to have great potential in rural areas can we inject inexhaustible power into the development of the agricultural bio-industry. 6.3 Need for ecosystem monitoring and agricultural bioinformatics infrastructure In the process of promoting the green development of biological-oriented agriculture, making full use of modern information technology to monitor, analyze and manage the ecological environment and agricultural production will help improve the scientific nature of decision-making and management efficiency. Pan'an currently has a relatively weak foundation in ecological environment and agricultural informatization, and needs to strengthen system construction. First, there are insufficient ecological monitoring methods. Although Pan'an's overall ecological environment is good, it lacks a precise dynamic monitoring network. For example, there is a lack of real-time monitoring data support for forests, biodiversity, water quality and soil, and it can only rely on regular manual sampling and monitoring, which makes it difficult to timely discover environmental problems or evaluate the ecological impact of industrial activities. Second, the degree of dataization of agricultural production processes is low. Most farmers do not use technologies such as the Internet of Things and big data, and data in the production process (such as soil nutrients, pest prediction, and growth status) cannot be automatically collected and uploaded. Government departments lack real-time and comprehensive grasp of the agricultural operation of the county. This makes it difficult to carry out scientific management and precise services. It is recommended to establish and improve the county-level ecological-agricultural information monitoring system: (1) Build an ecological monitoring network. Deploy environmental monitoring stations and sensors in key river basins, protected areas, and concentrated breeding areas to monitor indicators such as water quality, air, soil moisture and nutrients, and use remote sensing to monitor forest coverage and habitat changes, so as to realize real-time collection of ecological data. (2) Create an agricultural Internet of Things demonstration. Select major grain production functional areas and characteristic industrial bases, build smart agriculture demonstration sites, install soil moisture monitors, insect monitoring lights, video surveillance and other equipment, and link them with smart irrigation and smart fertilization systems to achieve automated control. For example, deploying small meteorological stations and insect monitoring systems in alpine vegetable bases can provide early warnings of frost and insect pests and guide farmers to take preventive measures. (3) Develop an agricultural bioinformation management platform. Integrate ecological and agricultural production data to establish a county-level agricultural big data platform. On the one hand, upload the environmental and production data obtained from monitoring to the cloud for analysis and modeling to form a decision support system for managers, assist in the formulation of industrial planning, pest control plans, disaster reduction plans, etc. On the other hand, develop farmer-side mobile applications to provide weather, market, and technical information services, and record agricultural operations to achieve traceable management from field to table. Practice has proved that the application of digital technology can effectively promote the adoption and promotion of green agricultural technology. Farmers who use digital agricultural technology promotion services are significantly more likely to adopt measures such as organic fertilizers. Pan'an can also consider establishing a comprehensive "digital village" platform to integrate agricultural technology promotion, e-commerce, financial insurance and other services, so that farmers can obtain the information and services they need without leaving their homes (Reffatti et al., 2022). In terms of environmental supervision, introduce technical means such as drone inspections and AI recognition to promptly detect illegal hunting, deforestation, pollution emissions and other behaviors to ensure ecological security. Through these measures, Pan'an can achieve dual refined management of the ecological environment and agricultural production, so that "green waters and green mountains" can better benefit "gold and silver mountains" for a long time. The construction of information systems requires certain investment and technical support. It is recommended to actively strive for funds for digital agricultural construction projects at higher levels, and cooperate with universities and enterprises to develop localized applications. As long as we persist in promoting it, ecological monitoring and agricultural bioinformatization will surely become a new support for the revitalization of Pan'an's agricultural industry, helping traditional agriculture to fly higher with the wings of science and technology.
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