Computer vision is rapidly transforming plant sciences and agriculture by enabling high-throughput, precise, and scalable phenotyping and monitoring. This Collection invites Data Descriptors ...

For centuries, weeds have been a pressing concern for farmers. The earliest developed weed control technology was plowing and hand-weeding. This involved farmers hand-pulling and cutting weeds with ...

Soilless growing systems inside greenhouses, known as controlled environment agriculture, promise to advance the year-round production of high-quality specialty crops, according to an ...

Diagnosing plant disease is essential to meet the world’s growing food demand, which is expected to increase with a population of 9.1 billion by 2050. Diseases can reduce crop yields by 20-40% , so ...

Soilless growing systems inside greenhouses, known as controlled environment agriculture, promise to advance the year-round production of high-quality specialty crops, according to an ...

Computer vision trains AI to interpret images, automating tasks like driving and product tracking. Applications include Amazon's "Just Walk Out" tech and autonomous vehicles' navigation systems. Uses ...

Christoph Wagner is the CEO of Scanbot SDK, a software development company specializing in data capture software for mobile and web apps. Recent leaps in generative AI have demonstrated the disruptive ...