Artificial Intelligence (AI) is the process of building machines that perform tasks that would normally require human intervention. AI may sound like science fiction, but it’s rapidly becoming a reality. In 2017, the Turing test was passed; it was achieved when a computer program designed to pass off as human became so good at doing so that its creators could no longer tell which was real and which was not. Since then, many have been trying to create AI systems that do everything from play chess to drive cars. However, there is still a long way to go before we achieve our dream of having AI systems capable of thinking for themselves.
Today, we are going to take a look at some of the potential uses of AI in the field of agriculture. As technology continues to develop, so does the need to improve farming methods. Artificial intelligence can help us find ways to manage crops more efficiently, save time, and even make work easier.
Applications of AI in the agricultural world
- Detecting Diseases Early On: One of the biggest challenges facing farmers today is how to identify problems early on. The sooner they spot a disease, the faster they can get treatment and prevent further damage. Today, farmers use manual labor-intensive processes to detect diseases in their crops. These methods are slow and inefficient and can cause unnecessary damage to crops. A machine learning system could potentially be able to predict if a crop is suffering from a disease using data collected from previous years. If the system detects something unusual, farmers might be able to treat the problem before it gets worse.
- Helping Farmers Save Money: Modern farms rely heavily on machinery to cultivate land and harvest crops. But while these tools make the job easier, they cost thousands of dollars. Many farmers struggle to pay for their equipment, especially since it can take several months to generate enough income to cover the initial outlay. A machine learning system might be able to analyze data on crops, weather patterns, and pest levels to determine which farm practices are likely to increase yields and profits. Based on what it learns, the AI system could recommend specific changes to the way the farmer grows his crops, such as applying different amounts of fertilizer or watering them differently. That could mean less time spent mowing grass around crops and more money saved.
- Filling Skill Gaps: Farmers aren’t always scientists – they often lack the education and training necessary to properly apply pesticides or diagnose diseases that affect crops. A machine learning algorithm could be trained to learn about certain chemicals and pests and give recommendations based on past experiences. Even though it’s unlikely the system will ever replace trained professionals, it could provide valuable insights and suggestions to farmers who don’t have much experience.
- Automating Data Collection and Analysis: There are millions of sensors currently collecting data every day across the globe.
- Farm Management Systems: Farm Management Systems (FMS) are considered to be the technological backbone of modern farming. FMS’s provide farmers with information about their farms in order to make informed decisions regarding cultivation, harvesting, storage, distribution and marketing of crops and livestock.
- Precision Farming: Precision farming means taking advantage of advances in sensors, GPS, mobile computing and remote sensing to optimize farm operations, reduce costs and increase efficiency. The aim of precision farming is to enable growers to identify best practices and to apply them across the entire farm.
- Greenhouse: Greenhouses are glass sheds where plants are grown indoors under controlled conditions. This type of cultivation is commonly used for flowers, vegetables and fruits.
- Soil Sensing: Soil Sensing is the application of sensing devices to assess soil composition and its moisture content. These soil-sensing devices collect and transmit information about soil parameters such as pH, moisture level, electric conductivity, temperature, and pressure.
- Robotics: Robotics is the utilization of robots in industry. Robots can perform repetitive tasks in high volume environments faster, safer and cheaper than humans.
Conclusion
Artificial Intelligence (AI) is everywhere, it’s changing our world at an accelerated rate. Today, we live in a technology-driven era where AI is becoming increasingly integrated into our daily lives. From self-driving cars to facial recognition software, these are just some of the ways in which AI is disrupting traditional industries. And it seems that the agricultural industry isn’t immune to this disruption. If you like the article also share it with your friends. For further queries just comment below in comment section.
