Artificial intelligence invites itself into animal production and entomoculture! AI is now a well-established element in the development of new technologies. It offers the possibility of creating support capable of adapting and learning from their environment. Present in many areas, artificial intelligence is today one of the challenges of tomorrow’s agriculture and in particular animal production and insect breeding.

Animal health scrutinized by AI

In general, the purpose of AI development in breeding will serve to replace the supervision of technicians or optimize production by collecting relevant data for the latter. Health is at the heart of animal welfare issues and succeeding in detecting problems in time will allow better and faster treatment while adapting to the environment as needed. This will also limit losses over the length.

Insect production optimized with artificial intelligence

On the food side of the future, insects are at the heart of the reflections. However, optimizing their production can hardly do without artificial intelligence. Indeed, counting insects in tanks of several hundred or even thousands of individuals cannot be done by hand. This is where the AI comes into action, which will achieve this feat in a few seconds.

Artificial intelligence relaying the monitoring of farmers

Thanks to the evolution of AI-based on the information it will collect and deep learning, the monitoring of breeders will be able to be helped. By thus optimizing the detection of unusual events or behaviors, the profession of breeders is then simplified.

An evolution of AI-based learning

Deep learning is one of the keys to the evolution of AI in the world of breeding. The concatenation of thousands of data and their analysis make it possible to bring out models that will improve over time. This learning saves time on a large scale and above all adapts regularly to changes that may occur.

The need to change the current model

The goal is to feed more and more people without wasting resources. Water and electricity are, for example, the two major resources at stake in this change. AI will optimize all production processes and limit losses as well as increase animal welfare.