Accurate diagnosis of apple leaf diseases is crucial for improving the quality of apple
production and promoting the development of the apple industry. However, apple leaf …

Detecting plant leaf diseases accurately and promptly is essential for reducing economic
consequences and maximizing crop yield. However, farmers' dependence on conventional …

There is an increasing demand for efficient and precise plant disease detection methods that
can quickly identify disease outbreaks. For this, researchers have developed various …

Diameter variations in the leaf's visual characteristics enable the differentiation of diseased
conditions; thus, leaves function as distinguishing indicators. To facilitate disease detection …

In order to ensure grape output and quality, it is necessary to identify grape leaf diseases
quickly and accurately. By merging deep features from convolutional neural networks …

Corresponding Author-a v ivek. ag86@ gmail. com b kuldeep. kaswan@ galgotiasuniversity.
edu. in c skhakhil@ gmail. com Abstract. The proper segmentation of brain tumors is …

Accurate and specific segmentation of brain tumour is essential in medical imaging for
accurate diagnosis and planning of treatments. In this research paper, we suggest the use of …

Objectives: To propose a suitable machine learning approach to detect and classify the leaf
diseases in apple trees at the pre-mature state to reduce plant degradation. In order to boost …

English In recent years, the problem of" rural labor shortage" in China has become
increasingly serious, with a large number of young laborers going out to work, leading to an …

In agriculture, plant pests and diseases are one of the major factors that reduce fruit and
vegetable yields. Early detection of foliar diseases, which cause significant yield losses in …