Is your crop as healthy as it looks?
Growing good, healthy and nutritious food is as much a science as an art. It takes great skills to produce a good quality product in a sustainable and economical way. Especially today, with an increasing challenge in climate, and higher customer demands.
To do so, it is important to maintain optimal growing conditions and to keep monitoring your crop health and performance.
The human eye is a limited sensor
We humans, only can perceive a small portion of the visible information available. Important information on plant stress lies mostly beyond our spectrum, especially when it is still at an early stage.
That is why we are developing a precision agriculture analysis method based on remote sensing technologies such as multi- and hyperspectral Imaging. Allowing growers to see the full spectrum of valuable information on plant health and performance that is not visible to the human eye.
How spectral imaging works
Normal cameras can see 3 bands of colors within the visible spectrum: red, green and blue. Instead of just these three colors, multi- and hyperspectral imagery uses sensors that measure the entire spectrum of light in the visible, but moreover also in the non-visible spectrum for each pixel in an image. The entire spectrum is then divided into 100+ color bands.
Each band is analyzed and used to make a multi-spectral colored dataset in the shape of a cube that contains three dimensions of information about a subject: 2 dimensions of spatial information and a 3rd dimension of spectral information. By analyzing all colors of the spectrum in each pixel, we can obtain the unique spectral ‘fingerprint’ of an object. These fingerprints deliver very detailed information about the state and constitution of the imaged object.