Crop disease detection is important due to its significant impact on agricultural productivity
and global food security. Traditional disease detection methods often rely on labour …

A large number of countries worldwide depend on the agriculture, as agriculture can assist
in reducing poverty, raising the country's income, and improving the food security. However …

Agricultural production is a cornerstone of national economies, and the prevalence of plant
diseases poses a significant threat to crop yields. Timely disease detection is essential to …

Plant diseases have always been a challenge for crop yield and plant growth, which can
have detrimental consequences on food availability worldwide. For the identification of …

The success of Tiny Machine Learning (TinyML) is dependent on the process of the model
training, along with optimized algorithms and quality image dataset. In the process of Pear …

Effective classification of leaf diseases is crucial in modern agriculture by adapting a
systematic approach to identify, monitor, and manage diseases affecting plant leaves …

Symptoms on the leaves are often the first indication of a plant disease. In order not to affect
the process of crop production, farmers need to identify plant diseases on their leaves as …

Agricultural production is critical to the economy. This is one of the reasons why disease
detection in plants is so important in agricultural settings, as plant disease is rather common …

More than half of the world's population relies on rice as their primary food source. In India, it
is a dominant cereal crop that plays a significant role in the national economy, contributing to …

With the increasing practice of using regional languages in social media platforms, hate
speech detection in regional languages has received the attention of researchers. In India …