AI IN THE AGRI-FOOD SECTOR

Is the agri-food sector introducing AI?

There is no doubt that AI is changing many industrial process models. AI provides new capabilities, new forms of monetization, and new systems to improve manufacturing and decision-making processes. The food industry is no exception. Likewise, the agri-food chain is full of innovations, from production to product distribution. 

PRODUCTION

In the case of production we must highlight the following cases in which artificial intelligence plays a key role:

Agriculture

Artificial intelligence would be implemented to detect nutrient deficiencies, plant diseases, stop weeds, etc.

Livestock

AI would seek to determine the composition of the feed, control the behavior of livestock through monitors, predict the intensity of odors, etc.

Fishing:

Its use can help classify species, analyse water quality and investigate signs of disease in fish.

INDUSTRY AGRI-FOOD

The agri-food industry has not been left behind, it is increasingly entering this new era, industry 4.0. Like the industrial sector, with industry 4.0, the agricultural sector is also experiencing its own revolution. This is called Agriculture 4.0.

The Agriculture 4.0, like its industrial counterpart, is based on the integration and use of new technologies. Technologies to collect data and perform tasks, enabling effectiveness, efficiency and greater automation in the agricultural sector.

AGTECH

The growth of artificial intelligence (AI) and Big Data-based technologies has allowed the global food industry to delve into applications that allow it to leverage consumer and market insights to develop innovative products based on discoveries made, identifying trends and potential value-added segments.

Drone controlling crops

Drone analyzing plant production

The term «AgTech» includes a wide range of new technologies applied to agricultural systems that increase productivity, efficiency and profitability.

New technologies are based on Blockchain, artificial intelligence and biotechnology. They collect and analyze field data, genetics, transactions and climatic phenomena, thus revolutionizing the field of agri-food products. Its inclusion allows increasing the potential of production and reducing the environmental impact, to obtain greater profits through digitalization and innovation.

Agriculture and livestock farming are two areas where these technologies are applied. Examples include planting and fertilisation sensors, satellite mapping, weather-forecasting services and online marketplaces.

TO LEARN MORE…

To learn more about the agri-food sector, here is the talk with Fernando Aragón about «Artificial intelligence in the agri-food sector». If you want to create social impact projects like this, don't hesitate to stop by our courses and sign up for them.

Written by

Gema Laso Aguarás