The severity of plant diseases, traditionally the proportion of the plant tissue exhibiting
symptoms, is a key quantitative variable to know for many diseases and is prone to error …

The detection and identification of plant diseases is crucial for an appropriate and targeted
application of plant protection measures in crop production. Recently, intensive research …

Early and accurate detection and diagnosis of plant diseases are key factors in plant
production and the reduction of both qualitative and quantitative losses in crop yield. Optical …

Abstract Three-dimensional (3D) image mapping of real-world scenarios has a great
potential to provide the user with a more accurate scene understanding. This will enable …

Hyperspectral imaging sensors are promising tools for monitoring crop plants or vegetation
in different environments. Information on physiology, architecture or biochemistry of plants …

Virus diseases are of high concern in the cultivation of seed potatoes. Once found in the
field, virus diseased plants lead to declassification or even rejection of the seed lots resulting …

Digital plant phenotyping is emerging as a key research domain at the interface of
information technology and plant science. Digital phenotyping aims to deploy high-end non …

High-throughput phenotyping technologies in controlled environments or field conditions
have proven to be extremely useful in unravelling key quantitative traits of plants for …

Using 3D sensing for plant phenotyping has risen within the last years. This review provides
an overview on 3D traits for the demands of plant phenotyping considering different …

Today there is a rapid development taking place in phenotyping of plants using non-
destructive image based machine vision techniques. Machine vision based plant …