Development of an accurate low cost NDVI imaging system for assessing plant health.

ABSTRACT:

Background

Spectral imaging is a key method for high throughput phenotyping that can be related to a large variety of biological parameters. The Normalised Difference Vegetation Index (NDVI), uses specific wavelengths to compare crop health and performance. Increasing the accessibility of spectral imaging systems through the development of small, low cost, and easy to use platforms will generalise its use for precision agriculture. We describe a method for using a dual camera system connected to a Raspberry Pi to produce NDVI imagery, referred to as NDVIpi. Spectral reference targets were used to calibrate images into values of reflectance, that are then used to calculated NDVI with improved accuracy compared with systems that use single references/standards.

Results

NDVIpi

SUBMITTER: Stamford JD 

PROVIDER: S-EPMC9887843 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature