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How Machine Vision Help Agriculture Soar

Not that long ago, World Food Programme published an article demonstrating the constant and continue-raising crisis of food shortage.

In 2022, climate change, confrontations, COVID-19, the climbing of costs of food and fuel, etc. make the hunger crisis soaring. In this world-wide crisis, how can smart manufacturing help improve efficiency while improve productivity and further contribute to the imbalance of supply and demand through smart farming?

What is machine vision and how can it benefit agriculture?

Machine vision is a set of equipment that acquires needed information and controls collaborative robots by automatically accept and process the images of actual objects. Normally, a set of machine vision equipment consists of light sources, industrial cameras, lens, industrial computers and software. When it comes to machine vision application, the most common thing that comes into mind is assembly lines in factories. That, in deed, is correct. However, machine vision can benefit agriculture just as much as those in industrial environment. One of the key impacts is that machine vision is able to automatically finish time-consuming and labor-intensive tasks.

Machine vision can not only be used for visible light imaging, but also perform well in imaging detection that is not visible to the naked eye, such as near-infrared, ultraviolet, and X-rays. This means that machine vision can contribute to soil detection, crop content detection, and extract key parameters such as food additives, Sudan red, melamine, aflatoxin, and more. This approach helps solve some common problems in planting that are not detectable by the naked eye.

How Machine Vision Help Agriculture Soar

Details

  • Shenzhen, Guangdong Province, China
  • smartmoreinside