Hyperspectral Image Analysis for Plant Stress Detection

Plant stress significantly reduces plant productivity. Automated on-the-go mapping of plant stress allows for timely intervention and mitigation of the problem before critical thresholds are exceeded, thereby maximizing productivity. A hyperspectral camera analyzed the spectral signature of plant leaves to identify the plant water stress. Five different levels of water treatment were created on young apple trees (Buckeye Gala) in a greenhouse and continuously monitored with a hyperspectral camera along with an active-illuminated spectral vegetation sensor and a digital color camera. Individual spectral images over a 400 – 1000 nm wavelength range were extracted at a specific wavelength to estimate reflectance and generate spectral profiles for five groups of apple