Significant advances in the field of digital image processing have been achieved in recent
years using deep learning, which has significantly exceeded previous methods. Deep …

Current technology has been widely applied for development, one of which has an Artificial
Intelligence (AI) applied to Smart Farming. AI can give special capabilities to be …

Disease has a significant impact on strawberry quality and yield, and deep learning has
become an important approach for the detection of crop disease. To address the problems of …

Strawberries are sensitive fruits that are afflicted by various pests and diseases. Therefore,
there is an intense use of agrochemicals and pesticides during production. Due to their …

Plant diseases have recently increased and exacerbated due to several factors such as
climate change, chemicals' misuse and pollution. They represent a severe threat for both …

This paper proposes an improved lightweight YOLOv5 model for the real-time detection of
strawberry diseases. The ghost convolution (GhostConv) module is incorporated into the …

Object detection models have become the current tool of choice for plant disease detection
in precision agriculture. Most existing research improved the performance by ameliorating …

Simple Summary Achieving automatic detection of plant diseases in real agricultural
scenarios where low-computing-power platforms are deployed is a significant research …

Instance segmentation, an important image processing operation for automation in
agriculture, is used to precisely delineate individual objects of interest within images, which …

Aiming to determine the inaccurate image segmentation of strawberries with varying maturity
levels due to fruit adhesion and stacking, this study proposed a strawberry image …