What artificial intelligence will make agricultural “impossible” become “possible”?

In recent years, the figure of artificial intelligence can be said everywhere, from medical, home to the Internet of Things, to transportation, finance, manufacturing, etc. It can be said that diversified application scenarios have outlined an increasingly broad imagination. space. The field of artificial intelligence is so extensive, you know, when artificial intelligence encounters agriculture, it will also spark an extraordinary spark.

Some people are expected to ponder, artificial intelligence can really put the wings of traditional agriculture to take off? What “impossible” artificial intelligence will create for agricultural production?

At present, artificial intelligence has become a sizzle in the agricultural field in China. For example, we are familiar with the farming field. As an important part of the agricultural industry, aquaculture has become the "darling" of artificial intelligence investors, and has attracted the attention of people inside and outside the industry. Such as Tencent's "AI Eco Goose Farm", Ali, Jingdong, Netease's "AI Pig" and so on. In addition to pig farming, artificial intelligence is also fully utilized in the field of food and vegetable cultivation. According to industry analysts, artificial intelligence brings new changes and changes to agriculture from watching the world to seeing AI.

Breeding and testing of prenatal seeds

When it comes to the role of artificial intelligence in changing agricultural practices and in planting, the first is the breeding and testing of prenatal seeds. For example, choose a species. Seed is one of the most important production materials in agricultural production, and seed quality is directly related to crop yield. The purity and safety of seeds are an important means of improving the quality of agricultural products. Therefore, through the selection and detection of artificial intelligence, it has played a very good role in improving the output and quality of agricultural products.

Intelligent planting

In traditional agriculture, it takes a lot of manpower and material resources; and carrying artificial intelligence technology will help alleviate the burden on farmers, such as artificial irrigation to manage irrigation and water use, image based nutrient and fertilizer use solutions, and even through labor. Intelligent, can predict the correct harvest time of crops, which greatly reduces the demand for labor in the land. For example, in the process of planting, management, picking, sorting, etc., it can be completed by intelligent robots to realize the intelligence and automation of agricultural planting; for example, artificial intelligence can be combined with market market forecasts according to the state of the soil environment, thus giving This year is suitable for growing corn or soybeans.

Monitoring of crops in production

In the past, the monitoring of crops was observed by the human eye, and with artificial intelligence, it was possible to predict the weather conditions and accurately grasp the correct time of watering; it was also possible to monitor weeds and pests through artificial intelligence technology; Cloud-sharing information can help farmers use the collected data to provide the best service to farmers.



Another point is soil irrigation. Soil management can be done through artificial intelligence feedback, and irrigation and water can be managed through artificial intelligence. Through the real-time monitoring of soil moisture, using irrigation, automatic irrigation and other methods to improve irrigation accuracy and water utilization. This will save water and ensure a good growing environment for crops.

Therefore, the application of artificial intelligence in agriculture can be described as full coverage. From selection, cultivation to crop monitoring, to soil management, pest control, harvesting, etc. It can not only help improve efficiency, but also achieve green agriculture. In short, in agricultural production, artificial intelligence contributes to the refinement of agricultural production, thereby promoting agricultural quality and efficiency.

The deep integration of artificial intelligence and agriculture in China still faces multiple challenges. For example, the rural network infrastructure is weak, the application of agricultural technology is still in the basic stage, and the research and development of artificial intelligence agricultural robots is not very mature, and it will inevitably be put into use. There are more or less problems, etc., which requires relevant departments to start from the aspects of infrastructure, technology supply, and industrial demand, comprehensively promote the deep integration of artificial intelligence and agriculture, and explore the effective path of high-quality development of modern agriculture. In terms of supporting capacity, efforts will be made to strengthen the construction of rural network infrastructure and agricultural information service platforms; in terms of technology supply, the level of artificial intelligence technology supply in the agricultural sector will continue to be improved; in terms of industrial demand, the willingness and ability of farmers to apply artificial intelligence will be vigorously cultivated. Conduct technical guidance and popularization of relevant knowledge.

It is believed that in the near future, with the continuous development of artificial intelligence technology, its large-scale application in the agricultural field will eventually be realized. The artificial intelligence has a bright future, and looking forward to the future, China's agriculture will enter a new era of intelligence.