Agriculture has undergone a remarkable transformation, transitioning from traditional
methods that were used for centuries to technology-driven practices. The advent of image …

The production of olives in Saudi Arabia, which accounts for around 6% of worldwide output,
is regarded as one of the best in the world. Because olive trees are rain-fed and produced …

Leaf diseases cause direct crop losses in agriculture, and farmers cannot detect the disease
early. If the diseases are not detected early and correctly, the farmer must undergo huge …

The segmentation of crop images is the most sought-after technology in the field of computer
vision and pattern recognition. The multilevel thresholding (MLT) of crop images is a tedious …

Accurate semantic segmentation of disease spots is critical in the evaluation and treatment
of cucumber leaf damage. To solve the problem of poor segmentation accuracy caused by …

In the global marketplace, agriculture plays an important role. However, diseases produced
in plants mostly affect the financial system. Pest occurrence and climatic changes are the …

Segmenting the leaf images from the complex background is the current research topic. So,
in this paper, we propose an algorithm to segment the leaf image from the natural …

In Malaysia, banana is a top fruit production which contribute to the economy growth in
agriculture field. Hence, it is significant to have a quality production of banana and important …

Introduction Precise semantic segmentation of microbial alterations is paramount for their
evaluation and treatment. This study focuses on harnessing the SegFormer segmentation …

Diseases that attack banana plants can affect the growth and productivity of the fruit
produced. The disease can be identified by looking at changes in the pattern and color of …