Agriculture is an area where AI can have a significant impact. Sensors and agricultural machines are already equipped with many artificial intelligence devices, such as GPS navigation systems.

Farmers can use the data collected by sensors to optimise crops and increase their yields.

In fact, AI can also help farmers predict the weather and adapt activities according to weather conditions. In the future, it can be used to create new plant varieties and improve crop resistance to environmental stresses.

The benefits of artificial intelligence in agriculture are not limited to the field. The benefits of its use also extend into the management of the agricultural business.

For example, it can help farmers monitor costs, plan activities and manage risks. In the future, it may also provide support in logistics and the supply chain.

Farmers will be able to use it to obtain information on raw materials, market conditions and prices of agricultural produce. In this way, they will be able to optimise production and sales activities to maximise profits.

AI can also help farmers to improve communication with consumers. For example, farmers will be able to use it to personalise marketing messages and provide detailed product information.

In this way, they will be able to increase sales and consumer trust in farms.

The benefits of AI for agriculture

Agriculture is an extremely complex industry, where many variables (climate, soil, crops, etc.) need to be taken into account to achieve good harvests. AI systems can help farmers make reasoned decisions on how to cultivate their fields, adapting farming practices to changing environmental conditions.

Moreover, its use can help reduce production costs and increase yields. For example, autonomous agricultural robots can be used for planting, transplanting and harvesting crops, minimising manual labour.

When it comes to monitoring crop conditions and providing farmers with timely information on any problems that might occur, artificial intelligence systems can also be of great help.

Not only that, but also in improving crop quality. For example, intelligent climate control systems can be used to adjust irrigation and other farming practices according to environmental conditions, ensuring that crops receive the right amounts of water and other essential nutrients.

Examples of AI-managed agriculture

Agriculture is an area where the use of AI can have a significant impact. There are many examples of AI-managed agriculture that demonstrate how this technology can improve the productivity and quality of agricultural products. One example of AI-managed agriculture is IBM's plant monitoring system, which uses machine learning technology to monitor plants and optimise production.

The system is able to recognise and classify plants based on their characteristics, such as the size and colour of their leaves. In addition, the system can monitor environmental conditions, such as temperature and humidity, and adjust the operation of agricultural machinery according to field conditions.

In addition to plant monitoring, AI can also be used to control livestock. For example, the Australian company eBOS Technologies has developed an AI-based livestock control system called HerdHUB.

The HerdHUB system uses sensors placed on the animals' bodies to monitor their health conditions, such as body temperature, heart rate and activity level. In the event of illness or injury, the system can send an alarm to farmers to enable them to take timely action. HerdHUB can help farmers prevent livestock diseases and increase productivity.

Machine learning can also be used for crop management. For example, the Israeli company CropX has developed an AI-based crop management system called CropX2.0.

The CropX2.0 system uses sensors placed in the soil to monitor soil conditions such as temperature, moisture and nutrient content. Based on the data collected, the system can provide farmers with information on irrigation and fertiliser to be used for better crop yields. CropX2.0 can help farmers save time and money, as well as increase productivity.

Available Artificial Intelligence Technologies 

The technologies available for the agricultural sector are numerous and some perform a large number of tasks, such as harvesting plants and cleaning stables.

In many cases, these technologies are able to do the job more efficiently than humans. For example, machines can harvest plants more accurately and quickly than humans. Furthermore, they can operate in extreme light and temperature conditions that would be extremely difficult for humans to withstand.

Agricultural machines are also able to closely monitor crops and report any problems. This can help farmers take timely action to correct any problems, thus preventing damage to crops.

In the future, AI will be able to offer farmers even more support. For example, machines will be able to learn to recognise signs of plant diseases and report them to farmers. They will also be able to process data on weather conditions and alert farmers to adverse weather events so that they can take the necessary precautions.

This can be particularly useful in case of adverse weather conditions, such as droughts or floods.

Can AI offer a Great Contribution to Agriculture?

In conclusion, AI can improve agriculture in many ways. It can help farmers make more accurate decisions on how to cultivate their fields, improve productivity and reduce costs.

Not only that, it can be used to monitor climate and soil conditions, which are valuable data to prevent natural disasters, and also to create new types of crops and plant varieties that are resistant to viruses or diseases.

Its use for plant monitoring, livestock control and crop management are other key aspects. All this helps farmers to obtain better crop yields, save time and money, and improve the quality of agricultural products.

These new crops and varieties could help save agriculture in difficult times and increase food security in the world.

AI can thus make a great contribution to agriculture, improving the lives of farmers and helping to ensure food security for future generations.