Leveraging Artificial Intelligence to Control Agriculture Robotics

Agriculture is a massive sector across the globe and also the bedrock of the economy. In recent years, various factors such as continued population growth, climate change, and food security concerns have forced players in the industry to start searching for inventive ways of enhancing and safeguarding crop produce. This has resulted in the evolution of artificial intelligence in the sector. This post will illustrate the various strategies of applying artificial intelligence to facilitate the management of agricultural robotics.

Artificial intelligence is evolving in the agriculture industry, with many companies considering integrating their agricultural machinery with artificial intelligence regulated robots in the future. According to studies conducted by Universal Robots, a big percentage of companies are looking at adopting autonomous machines such as small agricultural robots, tractors, drones for crop harvesting, and mobile robots for use in the dairy farms. Agricultural businesses are in search of ideas to help them enhance productivity, and one of the best ways of achieving this is through the use of artificial intelligence-based agricultural robots. The following tips will ease the adoption of artificial intelligence in various agricultural organizations.

1 Preventing Disease

Many farmers will attest to the fact that while planting can be easy, safeguarding the crops can be an arduous task. There are various dangers which can negatively affect the quality of crops, and this not only causes diseases, but it can also expose farmers to massive losses. Adopting artificial intelligence-based solutions can come in handy to help farmers counter these dangers by testing for and averting disease outbreaks. Universal Robots, for instance, has invented a wide variety of weed management robots which utilize machine learning and computer vision. These robots are specially designed only to spray weed-infested crops rather than spraying the whole field.

2 Soil Testing

To enhance your harvest, you should plant your crops in high quality and healthy soil. Testing the soil is an ideal way of determining its condition and status of health. Evaluating soil conditions enables farm operators and managers to utilize organic fertilizers which facilitate the production of air and water in the soil. Artificial intelligence-based solutions offer a comprehensive evaluation of soil samples and provide farmers with practical results. Some expert soil organizations have already invented artificial intelligence oriented systems which can conduct a DNA evaluation of soil samples through the use of certain robots and tools.

To get a comprehensive DNA evaluation, farmers should avail a sample of their soil. Before planting, farmers conduct a farm test to guarantee healthy crops. The DNA evaluation of the soil often includes screening pathogens and analyzing data to determine soil health. Soil tests should be conducted regularly before the planting season and after harvesting.

3 Identifying Diseases in Advance

If your crops are already affected by the disease, artificial intelligence applications that trigger robotics to identify the affected crops can be a great idea. Universal Robots is working on an application that will conduct a health check on crops for enhanced disease control and guarantee enhanced production. This application will be specially designed to incorporate a vast plant diseases library which will play a huge role in recognizing problems and determining the ideal solution. This application will rely on machine learning to ensure that robots operate by following specific roles, such as identifying weak plants. When the robot identifies disease-infested crops, it documents all the data and gives recommendations on what the farmers can do to eliminate the problem.

4 Predicting the Rain

Weather plays a major role in determining crop health and performance. However, farmers lack efficient weather prediction tools. With the ongoing climate change effects, making precise weather predictions are becoming increasingly difficult. Weather fluctuations and increased atmospheric carbon dioxide have a huge impact on the weather, which eventually influences agricultural practices. Artificial intelligence-based solutions enable farmers to make precise weather predictions and determine the sustainability of crops. Universal Robots offers a robust AI-based solution that relies on machine learning algorithm and utilizes satellite connection to facilitate weather prediction.


While deploying artificial intelligence capable of controlling agricultural robotics is a time consuming and slow process, it is quite beneficial. The above ideas should encourage farmers and agricultural organizations to adopt artificial intelligence-based solutions in the future.

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