Today, factors such as global climate change, urbanization and water shortages are having a major impact on the agricultural sector and may constrain the healthy growth of agricultural productivity. At the same time, it is estimated that by 2050, the world population will reach 9 billion, which will pose a huge challenge to the food security of countries, and food production needs to rise to twice the current level to respond.

As the world's population continues to grow and food demand continues to rise, industry researchers and farmers are beginning to explore ways to strengthen agricultural development and advance agricultural science and technology. In addition to the use of biological, chemical, agronomic and other theoretical knowledge and machinery and other tools, today, artificial intelligence technology has become a new driving force for agricultural development.

As we all know, the development of modern agriculture is highly dependent on precision and efficiency. Promoting digitalization and intelligence has become the mainstream trend in the industry. At present, whether it is from intelligent detection, intelligent monitoring, or from the fields of intelligent robots and intelligent agricultural vehicles, artificial intelligence has been deeply applied in the agricultural field, and the degree of penetration is increasing. It is pervasive.

Artificial intelligence is a branch of computer science. Artificial intelligence attempts to produce a new intelligent machine that responds in a manner similar to human intelligence. Its main research areas include robotics, natural language processing, image recognition, biometrics, machine vision, deep learning, etc. Value and market prospects are highly optimistic.

Since agricultural development involves a wide range of factors and is affected by many factors, it is impossible to rely on manpower to improve the level of intensification, intelligence, and informationization. In terms of agricultural production, it includes many factors such as temperature, soil, planting, seeds, etc. Once there is a mistake in a certain link, it is likely to affect the output, and with artificial intelligence technology, many problems Can be avoided.

At present, artificial intelligence combined with intelligent robot technology can be widely used in cropping, farming, and picking in agriculture, greatly improving agricultural production efficiency, reducing the consumption of chemical fertilizers and pesticides, and protecting the ecological environment. In addition, many are in artificial intelligence. Internet companies with in-depth layouts are also involved in the development of “smart agriculture”, using artificial intelligence technology to improve the efficiency and quality of planting, fertilizing, irrigation, spraying and harvesting, as well as sorting fruits and vegetables and identifying livestock. Ill, etc., such as the domestic Ali, Tencent, Netease and other companies.

In fact, concerns about pesticide use, crop pests and diseases are increasing in countries around the world. In agricultural production, pesticide residues not only cause social problems, but also increase environmental pollution. The detection and identification of accurate pests and diseases on crops can save the lives of crops, reduce the use of pesticides, and ensure the yield of crops.

In the past, the detection and identification of pests and diseases on crops needs to be carried out manually. Once they are not timely enough or the identification is not accurate enough, it will easily lead to large-scale crop yield reduction, which will have a huge impact on grain production. Through artificial intelligence technology, crop information can be quickly and comprehensively compared, providing real-time monitoring data, thereby reducing related costs and ensuring the healthy growth of crops.

Industry experts said that the current development of artificial intelligence in the field of image recognition, machine algorithms and other fields has been relatively mature, and with rich data and relatively complete models, the application in crop pest detection and identification is not difficult, and the prospect is worth looking forward to. If you can accelerate the practical application of artificial intelligence technology in this aspect, it is very valuable.

Of course, the development of artificial intelligence technology is still in the process of continuous upgrading, and there are many challenges. As far as China is concerned, the agricultural sector has great room for improvement in automation, intensification, and informationization. Infrastructure construction and data platform construction also need to be improved. Therefore, China's demand for AI agricultural development is more urgent, and the impact of artificial intelligence technology application on domestic agricultural development is also real.

From many aspects, the application value of artificial intelligence technology in the agricultural field is very significant. With the development of artificial intelligence technology, the current agricultural science and technology system can be changed in the future to accelerate the creation of “smart agriculture”, guarantee global food security, and improve people's food quality.