The digitalization of data has resulted in a data tsunami in practically every industry of data-
driven enterprise. Furthermore, man-to-machine (M2M) digital data handling has …

Identification of leaf disorder plays an important role in the economic prosperity of any
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …

Plants contribute significantly to the global food supply. Various Plant diseases can result in
production losses, which can be avoided by maintaining vigilance. However, manually …

Plant diseases and pernicious insects are a considerable threat in the agriculture sector.
Therefore, early detection and diagnosis of these diseases are essential. The ongoing …

Tomato is one of the most essential and consumable crops in the world. Tomatoes differ in
quantity depending on how they are fertilized. Leaf disease is the primary factor impacting …

Plant disease can diminish a considerable portion of the agricultural products on each farm.
The main goal of this work is to provide visual information for the farmers to enable them to …

In the modern era, deep learning techniques have emerged as powerful tools in image
recognition. Convolutional Neural Networks, one of the deep learning tools, have attained …

Most plant diseases show visible symptoms, and the technique which is accepted today is
that an experienced plant pathologist diagnoses the disease through optical observation of …

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 …

Plants are a major source of food for the world population. Plant diseases contribute to
production loss, which can be tackled with continuous monitoring. Manual plant disease …