Application of artificial intelligence in agriculture

Agriculture is the foundation for human survival. It occupies a basic position in the three industries and is crucial to the stability and development of the economy and society. However, with the rapid growth of population, the gradual reduction of cultivated land area and the acceleration of urbanization, the challenges facing agriculture have become increasingly severe. In order to cope with this challenge, both domestic and foreign countries are exploring the use of information technology to improve the quality and efficiency of agriculture. Among them, the new model of smart agriculture based on artificial intelligence is developing rapidly. It’s no exaggeration to say that artificial intelligence is disrupting the agricultural sector. Agriculture as we know it is being redefined. Artificial intelligence in agriculture can be divided into five categories:

1, Agricultural robots

Many technicians are now developing autonomous robots and programming them to handle The emergence of automation for important agricultural tasks, such as harvesting crops with higher productivity and faster speed than humans, can help solve the problem of labor shortage.

2, Crop and soil monitoring

Artificial intelligence can help farmers find irrigation loopholes, optimize irrigation systems, and Measuring the effectiveness of crop irrigation methods. As the world's population grows and the effects of drought become greater, water conservation becomes increasingly important. Efficient water use can greatly impact a farm's bottom line and contribute to global efforts to conserve water. Columbus said linear artificial intelligence programs are used to calculate the optimal amount of water needed for a specific field or crop to achieve desired yield levels.

3. Intelligent planting

In traditional agriculture, a lot of manpower and material resources are required; and equipped with artificial intelligence technology will help ease the burden on farmers, such as It is said that through AI management of irrigation and water use, image-based nutrient and fertilizer usage solutions, and even through AI, it is possible to predict the correct harvest time of crops, which greatly reduces the demand for labor on the land.

4. Livestock Monitoring

The ability to conduct high-level monitoring of livestock gives producers an advantage over competitors who have not yet invested in AI-enhanced agricultural technology. Columbus said farmers can monitor food intake, activity levels and vital signs to better understand the optimal conditions for better milk or meat production. Real-time health observations also enable farmers to quickly distinguish livestock infected with infectious diseases from healthy livestock and quickly address injuries and unexpected livestock behavior.

5, Use of Drones

The drone market in agriculture is expected to reach US$480 million by 2027, and drones The use is designed to help users increase crop yields and reduce costs. The drone's route is first programmed, and once deployed the device will utilize computer vision to record images and upload the captured data, using algorithms to integrate and analyze the captured images and data to provide a detailed analysis report.

The deep integration of artificial intelligence and agriculture in my country still faces multiple challenges, for example, Rural network infrastructure is weak, agricultural technology is still in the basic stage, and the research and development of artificial intelligence agricultural robots is not yet very mature. It is inevitable that more or less problems will arise during the put into use, etc. This requires relevant departments to start from the basics. Facilities, technology supply, industrial demand and other aspects will be considered to comprehensively promote the in-depth integration of artificial intelligence and agriculture and explore effective paths for the high-quality development of modern agriculture. In terms of supporting capabilities, efforts will be made to strengthen the construction of rural network infrastructure and agricultural information service platforms; in terms of technology supply, we will continue to improve the supply level of artificial intelligence technology in the agricultural field; in terms of industrial demand, we will vigorously cultivate farmers' willingness and ability to apply artificial intelligence, and continue to Provide technical guidance and dissemination 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. Artificial intelligence has a bright future. Looking forward to the future, my country's agriculture will enter a new era of intelligence.

The above is the detailed content of Application of artificial intelligence in agriculture. For more information, please follow other related articles on the PHP Chinese website!