Artificial Intelligence is Helping Farms Grow Better Food Around the World

Farmers are facing big problems. The weather is getting more difficult to predict, which makes it hard to know when to plant seeds and when to pick crops. In some countries, not many young people want to be farmers anymore. This means fewer people to do farm work. Many countries are turning to AI agents - which are smart computer programs that can think like a helper and do jobs to make farming better.

Smart Computer Programs That Help Farmers Understand Their Fields

In the United States, a young scientist named Rayhaan Kabenge is building a special computer tool called the TAPS Decision Support Suite. This tool is like a smart helper that farmers can use on their computers or phones. It takes information from the farm - like how wet the soil is, how much rain fell, and pictures from special flying cameras called drones - and explains what it all means in simple words. The AI program inside the tool uses something called machine learning, which means it gets smarter the more information it sees. Instead of showing farmers numbers and charts that are hard to understand, the AI agent explains what the numbers mean and what the farmer should do next.

Robots with AI Brains Fighting Weeds in Apple Orchards

Scientists are teaching AI programs to see things just like the human eye. In a special project, researchers created an AI machine vision model that can look at apple orchards and find weeds hiding between the plants. The computer program is so good at its job that it can find weeds that are partly hidden behind apple trees. This AI program will help guide a robot that sprays only the weeds, not the apple trees. The old way was to spray the whole field with poison to kill weeds, but this poison can hurt the good plants too. With this agentic AI system, farmers can spray only the weeds, use less poison, and save money.

Making Sure AI Robots are Safe

When robots do work on farms, they need to be very safe so they do not hurt farm workers. A company called FORT Robotics is working with famous computer companies like NVIDIA to make sure AI robots on farms are safe. They are trying to teach AI to understand safety rules just like a human worker would. This is hard work because computers need to learn about all the different things that could go wrong. If a robot is working in a field and a person walks near it, the robot needs to stop or move away safely.

AI Helping Farmers in South Korea Make More Food

In South Korea, a big farm machine company called DaedONG is using AI to help farmers grow more food. The company noticed that the weather has been changing very quickly, and this makes farmers' jobs much harder. They also saw that there are fewer young people becoming farmers. So DaedONG decided to become a "leading company in future agriculture" by using AI. This year, they started selling a new service called precision agriculture that uses AI to help each farmer do exactly what their farm needs.

Building AI Centers in Brazil to Help All Farmers

Brazil is a huge country with lots of farms. A special group of investors called The Yield Lab Latam is building research centers for AI in agriculture to help farmers in Brazil and all of South America. These centers bring together scientists, farm companies, and farmers to figure out how AI can help. They are making AI programs that can help farmers know what to plant, when to water, and how to sell their crops for good prices. One big idea is that farmers can sell information about their farms to the AI companies, and this helps the AI programs get smarter.

How AI Agents Are Different from Regular Computers

AI agents are special because they can think and make decisions like a smart helper would. A regular computer program just follows one set of rules, but an AI agent can look at a problem and decide what to do. On farms, AI agents are becoming workers that help farmers every single day. They look at pictures of crops, read numbers from the soil, and tell farmers what to do next. This is much different from the past, when farmers had to look at their fields every day and figure everything out by themselves.