Super HAD CCD and ISOCELL GW1 imaging sensors are used for capturing images in high‐
resolution cameras nowadays. These high‐resolution camera sensors were used in this …

Accurate plant leaf image segmentation provides an effective basis for automatic leaf area
estimation, species identification, and plant disease and pest monitoring. In this paper …

Purpose Extraction of leaf region from the plant leaf images is a prerequisite process for
species recognition, disease detection and classification and so on, which are required for …

Plant diseases lead to severe losses in crop yield worldwide. The conventional approach for
diagnosing diseases relies on manual scouting. In recent years, advances in convolutional …

This paper discusses a sweetgum leaf-spot image segmentation method based on an
improved DeeplabV3+ network to address the low accuracy in plant leaf spot segmentation …

Plants are a source of food, medicines, fiber, fuel, etc. and are therefore crucial for our
survival. Due to this, intensive care of plants should be done and it requires monitoring of …

Accurate segmentation and detection of leaf area is of great significance for automatic plant
growth monitoring and is one of the most effective strategies to monitor the sustainability of …

Fruit leaf disease segmentation is an essential foundation for achieving accurate disease
diagnosis and identification. However, shadows caused by folded leaves and serrations on …

Research on the recognition and segmentation of plant diseases in simple environments
based on deep learning has achieved relative success. However, under the conditions of a …

Image processing and analysis based on deep learning are becoming mainstream and
increasingly accessible for solving various scientific problems in diverse fields. However, it …