Agricultural development trend

In the past decades, agricultural technology has made great progress. New planting and harvesting methods, the invention of agricultural machinery and pesticides, and the development of precision agricultural technology have all brought great improvement to agricultural production. The development of these technologies enables farmers to grow crops more effectively and improve the yield and quality of crops.

First of all, determine the three major directions of future agricultural development, namely, increasing production, intensive cultivation and bringing forth the old and bringing forth the new, which are also the main melody melody melody of current agricultural development. With the growth of population, we can only feed more people by increasing output under the condition of unchanged land, but the increase of output will inevitably lead to the decline of product quality. This is why most fruits on the market are not as delicious as when I was a child. On the other hand, with the increase of some people's income, there is a higher demand for basic material needs, so it is also essential to pursue only the high-quality route of quality. Now all kinds of fruit assassins on the market are the truth. With the improvement of biotechnology and breeding technology, many new varieties have appeared in recent two years, such as fragrant gold and red-fleshed apples, which are inseparable from the support of powerful technology.

Artificial intelligence technology is widely used in agriculture, which can improve agricultural production efficiency, improve crop quality and help reduce the impact on the environment. For example, by using machine learning technology, farmers can better predict the weather conditions and thus better manage farmland. In addition, artificial intelligence technology can also help farmers identify crops and diagnose diseases more accurately, thus increasing crop yield.

In addition to the above applications, artificial intelligence technology can also be used for the automation of agricultural machinery. For example, through intelligent agricultural machinery, the automation of field operations can be realized, thus improving agricultural production efficiency. In addition, artificial intelligence technology can also be used in agricultural supply chain management, for example, through intelligent logistics system, to achieve intelligent distribution of agricultural products and improve the efficiency of agricultural supply chain. Artificial intelligence technology can also be used to optimize the allocation of agricultural resources. For example, by monitoring and analyzing farmland soil and water resources, it can provide the best growth environment for crops, thus increasing crop yield. In addition, artificial intelligence technology can also be used to monitor the agricultural production process. For example, through real-time monitoring of various parameters in agricultural production process, problems can be found in time and corrective measures can be taken to improve agricultural production efficiency.