In this study hyperspectral imaging (380–1020 nm) and machine learning were utilised to
develop a technique for detecting different disease development stages (asymptomatic …

Plant diseases of an infectious nature are the reason for major economic losses in
agriculture throughout the world. The early, rapid and non-invasive detection of diseases …

Agriculture production is one of the fundamental contributors to a nation's economic
development. Every year, plant diseases result in significant crop losses that threaten the …

Background Rice bacterial blight (BB) has caused serious damage in rice yield and quality
leading to huge economic loss and food safety problems. Breeding disease resistant cultivar …

Grape downy mildew (GDM) disease is a common plant leaf disease, and it causes serious
damage to grape production, reducing yield and fruit quality. Traditional manual disease …

This study used close-range multispectral imagery over cucumber plants inside a
commercial greenhouse to detect powdery mildew due to Podosphaera xanthii. It was …

This study aimed to understand the spectral changes induced by Podosphaera xanthii, the
causal agent of powdery mildew, in cucumber leaves from the moment of inoculation until …

This study explores spectroscopy in the 350 to 2500 nm range for detecting powdery mildew
(Erysiphe necator) in grapevine leaves, crucial for precision agriculture and sustainable …

Existing methods for tracking changes in the quality of dairy products are characterized by
difficulty, time consuming, a large number of calculation procedures and resources, which …

This paper proposes methods and tools for determining plant pigments using data from a
mobile phone video sensor. A disadvantage of the known studies in this field is that they are …