Avoid Losses with Science: Agricultural Meteorological Stations for Smart Pest Control

"Inadequate timely prevention and control after rainfall led to a large-scale outbreak of Chinese cabbage downy mildew." "Strong winds after pesticide spraying resulted in both pesticide waste and environmental risks." - In agricultural production, losses caused by inaccurate timing and improper measures for pest and disease control are common occurrences.

The outbreak of pests and diseases is related to meteorological elements such as temperature, humidity, precipitation, and wind speed. Relying solely on traditional experience to judge often makes it difficult to accurately grasp the control timing. Therefore, it is necessary to monitor field meteorological dynamics to provide data for pest and disease prevention.

Agricultural meteorological stations have the advantage of flexible deployment. They can be installed in different areas such as greenhouses, orchards, and terraced fields according to the needs of planting scenarios, enabling comprehensive monitoring of key meteorological elements related to pest and disease outbreaks. In addition to routinely monitoring basic indicators like temperature, relative humidity, wind speed, and precipitation, they can also conduct targeted monitoring of special indicators, including leaf surface humidity (a core influencing factor for disease infection), soil temperature and humidity (key conditions for overwintering of underground pests and survival of pathogens), and light intensity (an important factor regulating pest activity rhythms).

Monitoring data is synchronously transmitted to the agricultural meteorological service platform and farmers' terminals (mobile apps, smart displays) in real time via wireless transmission technology, allowing farmers to check real-time field meteorological conditions.

Agricultural meteorological stations can realize active early warning and precise guidance of pests and diseases by combining data modeling. When monitoring meteorological conditions prone to high disease incidence, such as "leaf surface humidity ≥ 85% for 3 consecutive days and temperature maintained at 20-25℃", the platform will immediately send an early warning message: "Downy mildew is expected to have a germination risk within 3 days. It is recommended to take ventilation measures to reduce humidity and spray protective fungicides for prevention."

Based on short-term meteorological forecast data, the platform can provide precise recommendations on the timing of pesticide spraying. For example: "The weather will be fine from 9 a.m. to 11 a.m. tomorrow, with wind speed at level 2-3, which meets the optimal meteorological conditions for pesticide spraying, and the pesticide effect will last for 7-10 days." Or "Heavy rain is expected the day after tomorrow. It is recommended to postpone pesticide spraying to avoid pollution and waste caused by pesticide loss with rainwater."