What is an agrometeorological station test plot?

For the scientific and technological achievements in agrometeorology to be translated into practical benefits, two aspects are crucial:

The first is the stability of the experimental field. Research results in agrometeorology often originate from field work in the field. Researchers need to go deep into the field and conduct repeated tests and analyses through long-term observation and data accumulation to ensure the reliability and practicality of theories.

Second, the practicality of the results. Scientific research results must be cost-effective, easy to operate, and recognised and adopted by farmers. This requires that scientific research work from the beginning of the project closely integrated with regional characteristics and practical needs, not only to meet the needs of economic and social development, but also to take into account the convenience of farmers in the actual operation.

Only to ensure that the results of scientific research both theoretically defensible, but also work in practice, in order to really move from the experimental field to the field, to achieve an effective combination of science and technology and agriculture, to enhance the efficiency and quality of agricultural production.

The agricultural weather station is a set of equipment that helps farmers understand the impact of weather and climate on crops. It can monitor real-time meteorological information such as temperature, humidity and rainfall, as well as soil temperature and humidity data. This information is important for farmers to schedule planting, irrigation and harvesting. Agro-weather stations allow farmers to make better decisions based on weather changes, increasing crop yields and reducing losses. With the development of technology, these weather stations have become smarter and provide great help to modern agriculture.

The cloud platform is a key part of smart agricultural weather monitoring, which is able to store and analyse the data collected by the weather stations and display it visually through charts and graphs. Users can easily download data reports, set alerts in case the data is out of normal range, and monitor crop growth to help make better agricultural decisions.