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artificial intelligence in the

farming sector & agro-food industry

HOW CAN ARTIFICIAL INTELLIGENCE HELP THE GROWTH OF THE FARMING SECTOR AND AGRO-FOOD INDUSTRY?

Artificial Intelligence is revolutionising some models of industrial production processes by providing benefits to make companies more competitive and help them take better decisions. The farming sector and the agro-food industry are a clear example of this.

USE CASES WHERE ARTIFICIAL INTELLIGENCE

BENEFITS THE AGRO-FOOD INDUSTRY

Let’s look at some use cases and examples of applying Artificial Intelligence to help this important worldwide sector, which is particularly relevant in Spain.

CLASSIFICATION OF RAW MATERIALS AND FOODS

In most Food Industry companies, classifying the fresh produce that is received is one of the processes that requires the most time and dedication. The clearest example might be separating off product units in poor condition. Another example might be classification by size [a company that produces crisps that must classify potatoes to get the right size to make their recipe correctly] or classification by colour [a tomato company that might discard tomatoes due to their colour which might be rejected by retailers or consumers].

In this use case, the ENAIA Artificial Intelligence platform provides visual classification solutions with automatic learning abilities.

The systems use various technologies such as sensors to view the food in the same way as consumers and consequently classify them according to this perception. The main benefit of applying Automatic Visual Inspection is seen in a significant reduction in the time spent on manual classification, better performance, less product waste and a significant quality improvement.

MANAGEMENT AND CONTROL OF SUPPLY CHAINS

Control and good management of the supply chain is a vital priority for all companies in the food sector. Current food security rules are strict and there should be full transparency concerning traceability of food products.

Consequently, the agro-food industry uses Artificial Intelligence in many tasks that help it improve management and control of its supply chains such as monitoring or in-situ testing of health parameters at each point in the chain.

COMPLIANCE WITH HYGIENE MEASURES

Good hygiene among personnel and the facilities for all food industries is absolutely essential. In this respect, food industry companies are aware that using Artificial Intelligence solutions such as ENAIA optimises checks by guaranteeing that the rules are met.  

To quote one example, we might talk about implanting systems to monitor and check that workers are using equipment required by food security laws (hats, gloves, masks, etc.). If the system detects a violation, this is automatically notified for review.

CLEANING EQUIPMENT AND

PROCESSING MACHINES

Optimum maintenance of cleaning all equipment and machinery comes at a high price in terms of time and resources in the food industry, particularly when making processed products. Expert Artificial Intelligence researchers such as the ENAIA research team are exploring how to develop systems that use Artificial Intelligence to reduce the time and money spent on cleaning in the agro-food sector.

By using ultrasonic sensors and optical fluorescent images, it is possible to measure the residue left in equipment. This information is fundamental to optimise its cleaning process.

GROWING BETTER

QUALITY CROPS

Artificial Intelligence can make it possible to grow better food. How? You might well wonder. The answer is simple. By helping farmers to create optimum conditions for growing crops. In this respect, we can use Artificial Intelligence to monitor the effects of environmental and climate variables on crops (such as heat, ultraviolet light, salinity tolerance, etc.).

In addition, within the agro-food world, it is important to highlight the benefit of applying Artificial Intelligence to farming. The opportunities that it provides and the infinite number of use cases for farmers are extremely interesting. Thanks to AI in solutions such as ENAIA, farmers can detect diseases and plagues on their crops or improve the soil quality of their land, as just a couple of examples.

WINE AND ARTIFICIAL INTELLIGENCE

ARTIFICIAL INTELLIGENCE IN WINERIES

The winery sector is an important benchmark within the fabric of its agro-food industry. As a relevant sector, its approach to new technologies and implementing Artificial Intelligence solutions to improve its processes and its products is never-ending. Much of the world’s wine-making industry is already working with drones, sensors or weather stations to obtain data, integrate them in an Artificial Intelligence Solutions system and optimise their results.

We are aware of the strong repercussion of this technology for wine-makers and oenologists, helping them use ENAIA to make key decisions such as determining the optimum time for harvesting, reporting on the health of their vines or predicting which plots in their vineyards might be more appropriate to make a specific type of wine.

ENAIA, ARTIFICIAL INTELLIGENCE FOR THE AGRO-FOOD INDUSTRY

Resistance to change, lack of knowledge of new technologies and the digital divide are some of the main enemies of companies in the agro-food sector on their path to digital transformation. ENAIA is determined that one of its major challenges will be to transmit to all companies in the sector the great potential and revolution brought about by implanting Artificial Intelligence solutions in its business strategies.

The specialisation and professionalism of ENAIA, Machine Learning and Artificial Intelligence platform, make it the perfect sidekick for agro-food sector companies as they strive to incorporate new Artificial Intelligence technologies.