Agriculture is the foundation of the national economy and the top priority in the economic and social development. Since the reform and opening up, China’s agricultural development level has been greatly improved, but at the same time, it is also facing such problems as the shortage of land resources, the low degree of agricultural industrialization, the severe situation of agricultural product quality and safety, and the destruction of agricultural ecological environment. How to steadily improve the level of agricultural development and realize the sustainable development of agriculture has become a major proposition in China’s economic and social development.
In this situation, large-scale innovation and technological change will be an effective way to solve agricultural problems and promote agricultural modernization. At present, how to improve productivity through artificial intelligence technology has become a research and application hotspot in the field of agriculture.
Traditional agricultural technology will cause waste of water resources, overuse of pesticides and other problems, not only high cost, low efficiency, product quality can not be effectively guaranteed, but also cause soil and environmental pollution. With the support of artificial intelligence technology, farmers will be able to achieve accurate sowing, reasonable water and fertilizer irrigation, and then achieve low consumption and high efficiency of agricultural production, high quality and high yield of agricultural products.
Provide scientific guidance. Using artificial intelligence technology for analysis and evaluation can provide scientific guidance for farmers to carry out pre production preparation work, realize the functions of soil composition and fertility analysis, irrigation water supply and demand analysis, seed quality identification, etc., make scientific and reasonable allocation of soil, water source, seed and other production factors, and effectively guarantee the smooth development of follow-up agricultural production.
Improve production efficiency. Using artificial intelligence technology in the agricultural production stage can help farmers plant crops more scientifically and manage farmland more reasonably, and effectively improve crop yield and agricultural production efficiency. Promote the transformation of agricultural production to mechanization, automation and standardization, and accelerate the process of agricultural modernization.
Realize the intelligent sorting of agricultural products. The application of machine vision recognition technology to agricultural products sorting machine can automatically identify, inspect and grade the appearance quality of agricultural products. The recognition rate of inspection is much higher than that of human vision. It has the characteristics of high speed, large amount of information and multiple functions, and can complete multiple index detection at one time.
At present, artificial intelligence technology is becoming a strong driving force to change the mode of agricultural production and promote agricultural supply side reform, which has been widely used in a variety of agricultural scenarios. For example, intelligent robots for farming, sowing and picking, intelligent recognition systems for soil analysis, seed analysis, PEST analysis, and intelligent wearable products for livestock. The extensive use of these applications can effectively improve agricultural output and efficiency, while reducing the use of pesticides and fertilizers.
Soil composition and fertility analysis. The analysis of soil composition and fertility is one of the most important tasks in the pre production stage of agriculture. It is also an important prerequisite for quantitative fertilization, suitable crop selection and economic benefit analysis. With the help of non-invasive GPR imaging technology to detect the soil, and then using artificial intelligence technology to analyze the soil situation, the correlation model between soil characteristics and suitable crop varieties can be established.
Post time: Jan-18-2021