Precision coffee-growing technologies contribute to increased yield, operational efficiency,
and final product quality. In addition, they strengthen coffee growing in the global agricultural …

Disease-warning systems are decision support tools designed to help growers determine
when to apply control measures to suppress crop diseases. Weather data are nearly …

Relationships between leaf wetness and plant diseases have been studied for centuries.
The progress and risk of many bacterial, fungal, and oomycete diseases on a variety of …

Leaf wetness duration (LWD) is a key parameter in agricultural meteorology since it is
related to epidemiology of many important crops, controlling pathogen infection and …

Although Asian soybean rust occurs in a broad range of environmental conditions, the most
explosive and severe epidemics have been reported in seasons with warm temperature and …

As any epidemic on plants is driven by the amount of susceptible tissue, and the distance
between organs, any modification in the host population, whether quantitative or qualitative …

Mixtures of cultivars with different disease resistance levels make it possible to manage
plant disease in a context of fungicide reduction. The cultivars composing a mixture are often …

Vegetation wetness significantly alters the plant microclimate, thereby influencing plant
functionality, growth, and yield. Prolonged wetness periods can exacerbate the risk of attack …

Abstract The advent of Precision Agriculture has made possible the analysis of complex
spatial patterns of plant disease epidemiology considering statements of integrated disease …

Leaf wetness duration (LWD) is a key parameter for plant disease-warning systems since
the risk of outbreaks of many plant diseases is directly proportional to this environmental …