This article published by Business Insider highlights the spectrum of AI applications in agriculture, from advanced machinery like Carbon Robotics’ LaserWeeder G2 to accessible tools such as ChatGPT, showcasing the transformative impact of AI on weed management practices.

Weeds remain one of the most persistent problems in agriculture. But the biggest issue facing modern farmers isn’t getting rid of weeds; mechanical tools and herbicides can do that. Instead, the difficulty lies in identifying and killing weeds without harming crops, writes Matthew S. Smith in an article published by Business Insider here.

Paul Mikesell is the founder of Carbon Robotics, a company that makes AI-powered robots for the agriculture sector, and the former director of infrastructure engineering at Uber. He’s spent the past six years developing AI systems that try to solve the big weed problem. His company’s solution is the LaserWeeder G2, a machine that automatically detects weeds and zaps them with a laser array.

Mikesell told Business Insider that a neural network can be important “to not just find where the weeds are, but to find the perfect place to kill the weed.” A neural network is a computational model inspired by how biological brains learn to process information, and is key to how modern AI systems function.

Across the agricultural industry, AI tools are beginning to make a difference for farmers. That’s good news for an industry struggling against foes like the climate crisis and shifts in trade. From complex robots to chatbots, farmers are testing out a range of tools to hone their processes and achieve goals once out of reach.

Source: Business Insider. Read the full article here
Image: Credit Carbon Robotics via Business Insider