Artificial intelligence (AI) has become a cornerstone of modern technology, revolutionizing
industries from healthcare to finance. Convolutional neural networks (CNNs) are a subset of …

Leaf disease is a common fatal disease for plants. Early diagnosis and detection is
necessary in order to improve the prognosis of leaf diseases affecting plant. For predicting …

Tea leaf diseases are a major challenge to agricultural productivity, with far-reaching
implications for yield and quality in the tea industry. The rise of machine learning has …

Plant disease has a considerable influence on the safety of grain output and quality.
Therefore, it is crucial to detect and diagnose plant diseases. Most plant diseases are …

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 …

Plants are the primary source of food for world's population. Diseases in plants can cause
yield loss, which can be mitigated by continual monitoring. Monitoring plant diseases …

This study aims to investigate the modified nonlinear time fractional Harry Dym equation
using analytical and numerical techniques. The modified nonlinear time fractional Harry …

As tomatoes are the most consumed vegetable in the world, production should be increased
to fulfill the vast demand for this vegetable. Global warming, climate changes, and other …

The olive tree is affected by a variety of diseases. To identify these diseases, many farmers
typically use traditional methods that require a lot of effort and specialization. These methods …

Machine learning (ML) within the edge internet of things (IoT) is instrumental in making
significant shifts in various industrial domains, including smart farming. To increase the …