What are the contributions of AI in the agricultural field?

The world population is expected to reach 9.2 billion people by 2050. This corresponds to an increase of nearly 2 billion mouths to feed (Food and Agricultural Organization, FAO). However, the prospects for increased cultivable land are only 4%.

In addition, the world is currently facing the throes of climate change. In this context, it is not a question of cultivating more or producing more, but of produce better to meet ever-increasing demand.

L’artificial intelligence which is already impacting all sectors will undoubtedly be the basis for meeting this challenge of agricultural production in the years to come. We can also touch on certain advances that it has generated. Discover the contributions AI in agriculture!

Optimization of farming systems

Artificial intelligence in the field of agriculture goes through the use of software specifically designed to automate different tasks. With Dilepix for example, there is an optimization of breeding systems.

In effect, continuous evaluation of animal behavior plays a decisive role in the proper monitoring of breeding. Using AI and computer vision, the software is able to follow individually the behavior and activity of an entire herd, regardless of its number.

With this, it is easier to carry out individual monitoring and thus to adapt the use of vaccines, antibiotics and others to each element of the herd. This approach contributes to optimization of the whole breeding system which becomes much more profitable.

livestock systems optimization

The contribution of artificial intelligence in breeding is not only real at the level of large livestock. It can be widely used in insect breeding also.

In reality, insects are bred for their richness in protein which is used in the composition of food for other animals such as fish. Thus, thanks to AI, we can easily count the number of insects in a farm.

This task is indeed tedious and almost impossible to carry out by a man. With this solution, a breeder thus gains in precision and efficiency while reducing his losses. The website ecobo provides a wealth of information on equally important topics.

Improving cultivation processes

The use of AI today makes it possible to practice precision agriculture. Indeed, some predictive models of culture can be designed. They take into account various factors of production such as:

  • The climate ;
  • The state of the ground;
  • Seed condition;
  • Water supply;
  • Disease risks, etc.

By taking all of this into account in the design of the model, it is easier to adjust either element to optimize performance.

Furthermore, there are also tractors and agricultural machinery equipped with intelligent systems. Once programmed, they are able to operate and carry out agricultural operations autonomously and precisely..

The drone are not only used in photography. Equipped with specific sensors and intelligent systems, they can add value to agriculture. By flying over crops over large areas, they can report on their condition so the farmer can know if specific treatment is needed.

Improving the working conditions of farmers

improved working conditions for farmers
improved working conditions for farmers

The contribution of artificial intelligence, such as agricultural motorization in the meantime, contributes effectively to the improvement of working conditions of farmers.

In reality, with the various machines that can be programmed and self-driving, there is a considerable reduction in time and labor force for the farmer.

Likewise, the chatbots used in agriculture can answer questions from the farmer about the weather forecast, the need for spreading, etc. This makes it possible to intervene in a punctual and optimal way to boost its production and its yield. (HERE)

AI in agriculture also offers a reduction in labor. This becomes much less costly for the farmer, who in turn improves his income.

What can we learn from the introduction of AI in agriculture?

The introduction of artificial intelligence in the agricultural field is advantageous on four main levels. It is :

  • predictability;
  • Competitiveness ;
  • The respect of environment ;
  • Improving the working conditions of farmers.

However, it is important to note that the use of AI in agriculture is still on a very small scale around the world.objective of sufficient production for the population by 2050it would be essential to set up systems to promote the access of agricultural professionals to new technologies.

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What are the contributions of AI in the agricultural field?


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