Rapid improvements in deep learning (DL) techniques have made it possible to detect and
recognize objects from images. DL approaches have recently entered various agricultural …

Agriculture is one of the most crucial sectors, meeting the fundamental food needs of
humanity. Plant diseases increase food economic and food security concerns for countries …

Rice, the world's most extensively cultivated cereal crop, serves as a staple food and energy
source for over half of the global population. A variety of abiotic and biotic factors such as …

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 …

In the era of frequently changing climatic conditions along with ever increasing world
population, it becomes imperative to ensure food security. The burden of biotic stresses …

The agriculture sector is no exception to the widespread usage of deep learning tools and
techniques. In this paper, an automated detection method on the basis of pre-trained …

Early diagnosis of rice disease is important because it poses a considerable threat to
agricultural productivity as well as the global food security of the world. It is challenging to …

Crop disease detection and management is critical to improving productivity, reducing costs,
and promoting environmentally friendly crop treatment methods. Modern technologies, such …

Rice is an essential food crop that is cultivated in many countries. Rice leaf diseases can
cause significant damage to crop cultivation, leading to reduced yields and economic …

Frauds accounted for significant losses in the financial sector and emerged as the industry's
biggest challenge. Companies invest significant amounts to prevent such fraud. It has been …