Regarding the future of artificial intelligence in agriculture, there are three main categories of technology to consider. The first is computer vision, which can automate many processes in the field. Another is drones, which can help farmers monitor their fields, spray pesticides, and harvest crops faster. Finally, there are livestock tracking technologies, which can count animals, monitor significant activities, and identify diseases.
Computer vision algorithms can be combined with machine learning to build robots that detect weeds and crops. These systems can be used to avert crop losses and increase yields. It’s not always possible to know which type of herbicide or fertilizer will be effective. Still, with the right algorithms, a farmer can ensure that only the appropriate type will be applied to the proper areas.
AI technology can also give growers a weapon against insects that eat cereal. For example, a Texas farmer received an alert on his smartphone when he was able to determine that a swarm of grasshoppers was about to attack his field. He then checked the wind direction to determine where the swarm would head next. Traditionally, this is a time-consuming and manual process.
Using the proper algorithms, a farmer can also determine if a hybrid seed is going to generate the highest yields. This information can also be gleaned from the big data farms produce daily.
One way to do this is to analyze the data captured by a drone. Drones can be used to collect aerial image data that can then be processed by computer vision algorithms. A farmer can then use this data to predict the health of his crop, the number of weeds that will appear, and the likelihood of disease.
The biggest challenge faced by farmers is surviving a changing environment. In today’s age, the availability of resources and labor is limited. Many farmers are relying on drones and other robotic systems to help them manage their farms. By doing this, they can reduce their reliance on expensive humans and increase their production.
The future of AI used in agriculture is promising. With the proper implementation, a farmer can gain valuable insights and make data-driven decisions to improve the overall cultivation process. As the world population increases, the need for food increases. If the AI is properly implemented, it can help farmers avoid costly mistakes and achieve lucrative yields.
However, the future of AI used in agriculture will not be without its challenges. For example, assigning specific task sequences to a robot is not as simple as it may sound. Likewise, the cost of implementing an automated system is quite high. Ultimately, the future of AI in agriculture will improve the quality of life for farmers. Whether it is by reducing the cost of doing business, lowering the risk of loss, or improving the harvest’s quality, AI’s future in agriculture will bring benefits.