Rika is a sensor manufacturer & solution provider of environmental and weather monitoring for 10+ years
Six ways that smart agriculture changes agriculture
In the plot of the movie 'InterstellarAlthough today there is no sign of a food crisis, we still need to be vigilant. According to United Nations estimates, by 2050, the global population will increase to more than 9.7 billion people. At that time, many hungry people need to feed. Compared with the massive increase in population, the area of u200bu200barable land will only increase by 4%. Therefore, the solution is not to expand farmland to grow crops and raise livestock, but to use existing land more efficiently. How to use land reasonably to achieve high yield and high quality is a problem we need to think about. The concept of smart agriculture has evolved from terms such as computer agriculture, precision agriculture (precision agriculture), digital agriculture, and smart agriculture. Its technical system mainly includes three aspects: agricultural Internet of Things, agricultural big data, and agricultural cloud platform. . 'Smart agriculture' is the use of modern high-tech Internet means to combine agriculture with technology. Fully modern operation mode changes traditional farming methods. 1. Soil management through data feedbackWhen crops are grown around the world, soil nutrition will also play a role. Through special algorithms, deep learning is brought to the forefront here. These algorithms can help monitor the health of the soil before planting and during growthSoil degradation and erosion are also important factors affecting crop growth, but these two Problems can be solved with artificial intelligence. A foreign team has developed an instrument that can analyze soil defects. Coupled with the visual perception capabilities of drones, they can detect the growing areas of crops and use artificial intelligence-based technologies to study soil weakness and crop defects. Second, intelligent management of irrigation and water useIf crops want to grow normally, they need continuous water supply. Growing crops is especially difficult in areas of the world where rain and fresh water are scarce or unreliable. Just like your garden sprinkler can set a timer, modern artificial intelligence irrigation methods go further than this. They can track the moisture content in the soil in real time through the machine learning technology in the agricultural environment, so as to know exactly when to provide water to the crops and how to reasonably save water consumption. This means that farmers have more time to do other important tasks without having to bother to irrigate the crops themselves. Three. Intelligent pest monitoring The traditional pest monitoring method is time-consuming and laborious, and it is difficult to meet the actual needs of production. The pest monitoring and analysis system is a newly launched modern automatic pest forecasting system. The system uses knowledge and methods of biology, ecology, mathematics, system science, logic, etc., and uses modern optical, electrical, numerical control technology, wireless transmission technology, and physical Networking and other technologies, combined with practical experience and historical data, can predict the future trend of pests and diseases, greatly improving labor efficiency and the accuracy of monitoring results, and providing accurate and timely forecast services for the majority of scientific researchers and growers. Four. Combination of intelligence and mechanical harvestingAccording to the nature of agribusiness, about 40% of the profit of a farm is used for manual labor and wages. And now smart machinery replaces human agricultural labor, not only solving the problem of increasing shortage of agricultural labor force, but also realizing the high-scale, intensification, and factoryization of agricultural production, improving the ability of agricultural production to respond to natural environmental risks, and making the disadvantaged Traditional agriculture has become a modern industry with high efficiency. 5. Use of smart fertilizationThe biggest advantage of 'Internet + smart fertilizer' is to achieve precise fertilization through soil testing, improve fertilizer utilization, reduce farmer input, and conform to the national trend of 'zero growth' in chemical fertilizers . 6. The rise of intelligent drones Today, drones have been used in many aspects. In agriculture, drones not only use pesticides, but also have data collection and monitoring functions to prevent pests and diseases. It can reduce the labor intensity of farmers in the field, reduce environmental pollution, and improve the control effect.
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