Welcome to the first installment of Voxel51’s computer vision industry spotlight blog series. Each month, we will highlight how different industries

How Computer Vision is Changing Agriculture in 2023

submited by
Style Pass
2023-01-30 23:00:13

Welcome to the first installment of Voxel51’s computer vision industry spotlight blog series. Each month, we will highlight how different industries – from construction to climate tech, from retail to robotics, and more – are using computer vision, machine learning, and artificial intelligence to drive innovation. We’ll dive deep into the main computer vision tasks being put to use, current and future challenges, and companies at the forefront.

The agricultural industry is ripe for new computer vision-based AI applications. The world’s farmers are tasked with feeding the planet by growing healthier and more productive food, feed, fiber to feed, while also taking care of their land and resources. As in other industries, organizations in agriculture use computer vision and AI applications to drive new innovations and unlock new efficiencies to help them achieve their goals against a backdrop of modern challenges. Before we dive into several popular applications of computer vision-based AI technologies in agriculture, here are some of the industry’s challenges where CV and AI can help.

In other words, the agriculture industry will need to feed far more people with fewer resources in a complex and changing environment. The invention and adoption of new technologies will be crucial to overcoming these challenges. AI in agriculture is already valued at more than $1 billion annually, and with a compound annual growth rate (CAGR) of 20%, it is projected to reach $2.6 billion by 2026. Computer vision applications account for a large portion of this existing market, as well as the majority of its anticipated growth. 

Leave a Comment