Predicting the Onset Date of Cucumber Powdery Mildew Based on Growing Degree Days and Leaf Wetness Duration in Greenhouse Environment.

Cucumber powdery mildew, caused by Podosphaera xanthii, can lead to significant yield losses in greenhouse cultivation. A calendar-based fungicide spray program is commonly employed by farmers, often leading to excessive spraying irrespective of disease conduciveness under certain weather conditions. Therefore, a disease model that can predict the onset of symptoms for determining when to start the first spray applications during a season is needed.

EnhanceCenter for improving point based tracking and rich feature representation.

In this study, we propose EnhanceCenter, a multiple-object tracking model that demonstrates enhanced tracking efficiency and stability while reducing dependencies on computationally intensive detectors. EnhanceCenter, based on the CenterTrack method, introduces three key improvements. First, a channel-spatial-spatial feature fusion module effectively utilizes object appearance information, enhancing tracking in complex scenes.