Detection, identification, and quantification of plant diseases by sensor techniques are
expected to enable a more precise disease control, as sensors are sensitive, objective, and …

Simple Summary Phenological maps can depict the development and seasonal activities
(phenology) of invasive insects at area-wide scales, such as counties, states, or entire …

Cercospora leaf spot (CLS) poses a high economic risk to sugar beet production due to its
potential to greatly reduce yield and quality. For successful integrated management of CLS …

Many pests damage pea crops, which potentially leads to reduced quality and yield losses.
Since pests occur at different phenological growth stages of pea crops, the prediction of …

Models represent very powerful tools to improve forecasting, decision‐making, and planning
of agricultural activities. They play an increasing role in the context of climate change …

There is copious literature on development and validation of models to forecast risk to crops
from arthropods and diseases; however, there is little published on causes of failure …

The effect of climate change on the temporal and regional occurrence of Cercospora leaf
spot (CLS) of sugar beet in Lower Saxony is analysed using the forecasting model …

This book contains 18 chapters and reviews key advances in precision agriculture
technology and applications. The chapters summarize developments in monitoring …

There is a general agreement that climate change, in the medium and long term perspective,
may affect agricultural crops. As part of the KLIFF project ('Klimafolgenforschung in …

In this study the possible impact of climate change on the occurrence of the Cercospora leaf
spot disease (CLS) in sugar beet, triggered by the fungus Cercospora beticola sacc., and its …