Abstract Drones, also called Unmanned Aerial Vehicles (UAV), have witnessed a
remarkable development in recent decades. In agriculture, they have changed farming …

Plants play a crucial role in supplying food globally. Various environmental factors lead to
plant diseases which results in significant production losses. However, manual detection of …

Agriculture provides food to all the human beings even in case of rapid increase in the
population. It is recommended to predict the plant diseases at their early stage in the field of …

In the twenty-first century, machine learning is a significant part of daily life for everyone.
Today, it is adopted in many different applications, such as object recognition, object …

Early diagnosis of fusarium head blight (FHB) presence and intensity in wheat can assist
decision support for reducing disease spread and minimizing mycotoxin contamination in …

Agriculture, an essential bedrock of human survival, continually grapples with the menace of
plant diseases, culminating in substantial yield reductions. While conventional detection …

Rice disease classification is vital during the cultivation of rice crops. However, rice diseases
were initially detected by visual examination from agricultural experts. Later the detection …

Plant-leaf diseases have become a significant threat to food security due to reducing the
quantity and quality of agricultural products. Plant disease detection methods are commonly …

Soybeans play a key role in global food security. US soybean yields, which comprise 32% of
the total soybeans planted in the world, continue to experience unprecedented grain loss …

Pernicious insects and plant diseases threaten the food science and agriculture sector.
Therefore, diagnosis and detection of such diseases are essential. Plant disease detection …