Internet of things everywhere flowering greenhouse grape seed cultivation technology to promote high-benefit planting

Early summer of each year, fruit growers are ready to harvest the harvest season of fruits such as watermelon and mango. The fruits that are full of rich fruits and berries symbolize the hard work and hard work of peasants. In autumn and winter, the paddy full of mature rice gradually grows The best gift a planter has after wrestling with nature for nearly a whole year; however, farmers are also likely to be defeated in this battle against natural weather, humidity, temperature, sunshine and the environment , But the final manpower, financial resources and time devoted to them are all turned into unlucky scenarios.

In fact, farming has always been regarded as a highly indeterminate industry that must see the weather. However, as the applications and development of technologies such as Internet of Things, cloud computing and sensing technologies are becoming more mature, the agriculture of today is no longer the same day And language!

Effective combination of agriculture and science and technology

For example, Libelium, the Spanish wireless communications technology company, has used big data analytics to make peasants' viticulture 15% more productive while reducing their use of 20% fertilizer and reducing their cultivation costs. The Mexican government and Google Cooperation on the use of satellite imagery for policy planning on land use, sustainable agriculture and species conservation in the country; the Government of India used the discussion topics on Twitter to understand and analyze fluctuations in rice prices; in Africa, The establishment of mobile APP platform and agricultural exchange platform to further enhance the economic income of local farmers; Taiwan's famous jade bag litchi in the long-range monitoring planted under the planting process has been made from the original one month to extend the delivery period to three Month, and at the same time stabilize the market price, the output will be further increased by 20%. Obviously, the combination of agriculture and science and technology can indeed help farmers to increase the yield and quality of crops while at the same time, maximizing the value of the industry more effectively.

Therefore, all the major economies in the world are cautiously looking into this area of ​​human food and survival. At the same time, they are actively investing a lot of resources in promoting the development. In the United States, for example, every year the country invests more than 60% of its venture capital in agricultural science and technology. The EU, through its "farm counseling system," intends to preserve and inherit precious farming experience digitally, Japan, on the other hand, is moving forward with the introduction of an enterprise-oriented management model in order to make agricultural production able to achieve economies of scale and thus to cross the international market.

Therefore, we may further understand the practical application of smart agriculture through the following aspects:

At present, the remote monitoring technology applied to agriculture can collect environmental data such as sunshine, temperature, humidity and soil moisture through the Internet of Things (IoT) and grasp the growth of crops with the collection and analysis of real-time monitoring screens. For example, when the measured data of the farming environment is out of the standard range, farmers' mobile phones may receive early warning messages to remind him to open the watering and fertilization system in real time or keep them ventilated.

In addition, the remote monitoring platform can not only reduce manpower management costs, but also provide 24x7 infrared intrusion detection and alerting functions to ensure the safety of agricultural products and avoid the risk of being stolen.

Compared with the traditional farming methods can only rely on the weather forecasting uncertainty to carry out appropriate measures can easily lead to mixed crop quality, unable to deal with uncertainties in real time and proper risk management, intelligent greenhouse with sensor monitoring system For example, when the temperature and humidity in the air exceed the predicted value, the humidifier and ventilation equipment are automatically turned on or off by the system, and the intelligent light source system is automatically turned on when the daylight is low. With the aid of the control platform The well-calculated photosynthesis process fully regulates the carbon dioxide concentration in the farming environment, as well as the level of light and air, to ensure that the crops grow in the most appropriate environment.

Among them, the wisdom shed can also use the solar panel heat collection system for power generation, to meet the production needs of irrigation, fertilization, to enhance lighting or temperature ... and other power needs, but also for energy control.

The data collected through the Internet of Things and intelligent surveillance system and uploaded to the cloud can be used to analyze the key growth of crops in different stages through big data and then feed back to the next round of production processes for more accurate To grasp the environmental factors that help to optimize crop production and how to respond to it, and at the same time, to continuously optimize the growth conditions and enhance the production capacity and quality. The collected information can be plotted as a real-time data curve to observe the overall growth status of the crop in a certain period of time, and can also be summarized as a historical data curve to show the annual, monthly and daily changes of the cultivated environment.

In addition, the United States has also successfully applied big data on agriculture to other directions. This includes analyzing land and climates to understand the extent of natural disasters in various regions so that the Ministry of Agriculture's Risk Management Bureau (RAM) can set a proper Agricultural insurance rates to avoid unnecessary insurance subsidy payments and to monitor pest and disease status in real time in real time. In addition, historical data, import and export data and analysis of food supply were compared to stabilize food supply and food safety.

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